# SMEC AI > Australian Government-funded AI adoption support for small and medium businesses (fewer than 200 employees) in agriculture, clean energy, healthcare/medtech, and enabling technologies. Free Adopt support: the AI Information Line, a 45-minute consultation, and self-service tools. Paid offerings: AI Audit ($1,000) and medical automation ($7k–$15k). ## About - SMEC AI (Small to Medium Enterprise Centre of Artificial Intelligence) is an initiative of Boab AI. - Funded by the Australian Government Department of Industry, Science and Resources through the AI Adopt program. - Partners include the University of Melbourne, RMIT, La Trobe University, Artesian, Cremorne Digital Hub, Victorian Medtech Skills and Devices Hub, TNG, and Rockwell. - Eligible businesses: Australian SMEs with fewer than 200 employees in agriculture, clean energy, healthcare/medtech, or enabling technologies. - Cost: Adopt support is free for eligible businesses (Information Line, 45-minute consult, self-service). Paid: AI Audit $1,000; medical automation $7k–$15k. ## Services - **AI Adopt** — 1-on-1 consultations that give you a clear direction. Not sure where to start with AI? Start with a 45-minute conversation. An advisor who knows your sector will listen to how your business runs, the pressures you are facing and what you have already tried. Afterwards you receive a short written summary of what was discussed and the kinds of approaches worth exploring first. - **AI Studio** — An 8-week accelerator for founders building with AI. AI Studio is for early-stage founders who are ready to build. Over eight weeks, you will work with AI engineers and advisors to ship a working product, develop your go-to-market approach, and connect with operators across Australia. - See [services overview](https://www.smecai.au/#services) and [AI Pathfinder](https://www.smecai.au/ai-pathfinder). ## Case studies - [Knowsey — Emily Hendley, Founder](https://www.smecai.au/case-studies/knowsey) — After 20 years in product, Emily Hendley is building Knowsey, a competitor intelligence copilot, with a beachhead sharpened by AI Pathfinder. - [Good Lioness — Dr Brindha Gunasingham, Founder](https://www.smecai.au/case-studies/good-lioness) — Dr Brindha Gunasingham built Good Lioness to fix hidden assumptions in investment models, and used AI Pathfinder to accelerate the build. - [DrilLedger — Guy Kennedy, Founder](https://www.smecai.au/case-studies/drilledger) — Perth founder Guy Kennedy is building DrilLedger, a platform of 17 AI agents to lift the admin load capping mining services growth. - [Sundrift AI — Yarin Cohen, Founder](https://www.smecai.au/case-studies/sundrift-ai) — Sundrift AI pivoted from replacing lender CRMs to an execution layer above them, and opened its beta to Australian mortgage brokers. - [SomaForm — Mike Cardno, Founder](https://www.smecai.au/case-studies/somaform) — How SomaForm, a science-based swim coaching startup, sequenced its product build with SMEC AI and No Moss. - [Remède Wellness Medicine — Rhyanna Van Leeuwarden, Group Chair](https://www.smecai.au/case-studies/remede-wellness) — Remède Wellness Medicine replaced fragmented manual reporting with an AI-powered workflow, faster, consistent, scalable. - [Genotype Health — Mimi Zilliacus, CEO & Founder](https://www.smecai.au/case-studies/genotype-health) — Genotype Health designed its healthcare startup for AI automation from day one, scalable infrastructure before launch. - [Tax Window — Artur Osadchiy, Managing Director](https://www.smecai.au/case-studies/tax-window) — Tax Window saved ~2 hours per week with a custom follow-up automation built on their existing tech stack. - [365 Days Medical Centre Group — Dr Praveen Konadi, GP & Medical Centre Director](https://www.smecai.au/case-studies/365-medical) — 365 Days Medical Centre Group built and commercialised a 24/7 AI Healthcare Receptionist with SMEC AI's partners. - [PatientVoice (user story) — Occupational Therapist, Healthcare Business Owner](https://www.smecai.au/case-studies/patientvoice) — A Victorian occupational therapist reclaimed hours of admin a week after SMEC AI matched them with PatientVoice. ## Blog - [AI-Powered Scams Are Outpacing Small Business Defences: How Australian SMEs Can Fight Back](https://www.smecai.au/blogs/ai-scams-australian-small-business) — Australians lost $2.18 billion to scams in 2025, and AI is making them harder to spot. Six practical defences every Australian small business can set up this week. - [Australia's National AI Plan: What the New Office of AI Actually Means for Your Small Business](https://www.smecai.au/blogs/national-ai-plan-office-of-ai-small-business) — The new Office of AI creates no obligations for SMEs yet, with legislation expected in early 2027. Here is what actually changes for Australian small businesses, and what to do now. - [Which Tasks Should I Never Hand to AI? The Honest List for Small Businesses](https://www.smecai.au/blogs/tasks-you-should-never-hand-to-ai) — AI is worth adopting, but seven jobs should always keep a human in charge: tax lodgments, contracts, hiring, payments and more. A candid guide for Australian small businesses. - [AI on Australian Farms in 2026: What's Working, What's Hype, and What It Costs](https://www.smecai.au/blogs/ai-australian-farms-2026) — A plain-English guide to farm AI in 2026: the tools earning their keep on Australian farms, the claims that don't stack up yet, and real prices to start. - [Farm Profits Are Tipped to Fall 70% Next Year. Here's the Work AI Can Take Off Your Plate](https://www.smecai.au/blogs/farm-profits-fall-ai-workload) — ABARES forecasts a 70% fall in broadacre farm profits in 2026-27. Here's the work AI can realistically take off Australian farmers' plates, and what it costs to start. - [AI Risks for Australian SMEs: What You Need to Know in 2026](https://www.smecai.au/blogs/ai-risks-for-australian-smes-2026) — AI is already inside most Australian businesses. Here are the real risks in 2026, and the practical steps to manage them. - [Where to Start With AI in Your Business: A Basic Guide for Australian SMEs](https://www.smecai.au/blogs/where-to-start-with-ai-in-your-business) — A practical, no-jargon starting point for Australian SME owners who feel like they walked into the middle of an AI conversation. What to try, what to skip, and where to ask for help. - [Why Most Australian SMEs Have Not Adopted AI Yet](https://www.smecai.au/blogs/why-most-australian-smes-have-not-adopted-ai-yet) — Cost is the obvious answer, but the data tells a different story. A look at the real barriers holding Australian SMEs back from AI, and what closes the gap. ## Frequently asked questions - **Is SMEC AI really free?** Government-funded Adopt support is free for eligible Australian SMEs: the AI Information Line, the 45-minute consultation, and the self-service tools. Paid offerings sit alongside that — the AI Audit is $1,000, and medical automation is $7k–$15k. Free Adopt support has no fees or subscriptions. - **Is my business eligible?** SMEC AI supports Australian businesses with fewer than 200 employees and annual revenue below $50 million, operating in one of four priority sectors: agriculture, clean energy, medical and med-tech, and enabling technologies. Other sectors are also considered. If you are not sure whether your business qualifies, the easiest way to find out is to get in touch. There is no commitment involved. - **What does a consultation involve?** A consultation is a structured conversation, usually around 45 minutes, with an advisor who has experience in your sector. They will ask about your current operations, where you see the biggest opportunities or challenges, and what you have already tried. From there, they provide a tailored Advisory Summary with clear, actionable recommendations. - **Do I need any technical knowledge?** No. SMEC AI is designed for business owners and operators, not technical specialists. You do not need to understand how AI works under the hood. What matters is understanding your own business and being open to exploring how technology might help. - **Which AI tools do you recommend?** We do not recommend tools in the abstract. Every recommendation is based on your specific situation: your size, your sector, your existing tech stack, and your team's capacity. What works well for a medical practice will not necessarily suit an agricultural business. - **Who runs SMEC AI?** SMEC AI is an initiative of Boab AI, in partnership with Artesian, Cremorne Digital Hub, the University of Melbourne, RMIT, La Trobe University, Victorian Medtech, TNG, and Rockwell. It is funded by the Australian Government Department of Industry, Science and Resources. - **What is AI Pathfinder?** AI Pathfinder is a free 8-week accelerator for early-stage founders building with AI. It is a separate offering to the consultations and is designed for teams that are ready to build and launch a product, not just explore AI options. - **What does SMEC AI stand for?** SMEC AI is short for the Small to Medium Enterprise Centre of Artificial Intelligence. The name reflects the program's sole focus: helping Australian small and medium businesses adopt AI. ## Key pages - [Home](https://www.smecai.au/) - [AI Information Line](https://www.smecai.au/information-line) - [Government AI help vs hiring a consultancy](https://www.smecai.au/ai-adopt-vs-consultancy) - [Is SMEC AI free?](https://www.smecai.au/is-smec-ai-free) - [Who is eligible for AI Adopt?](https://www.smecai.au/ai-adopt-eligibility) - [Press kit](https://www.smecai.au/press-kit) - [Case studies](https://www.smecai.au/case-studies) - [Blog](https://www.smecai.au/blogs) - [Events](https://www.smecai.au/events) - [AI Pathfinder accelerator](https://www.smecai.au/ai-pathfinder) ## Contact - Email: info@smecai.au - Phone: 1800 517 403 - Contact form: https://www.smecai.au/#contact - Region: Australia (services delivered nationwide; English language). ## Optional - [Privacy policy](https://www.smecai.au/privacy-policy) - [Terms and conditions](https://www.smecai.au/terms-and-conditions) - [Sitemap](https://www.smecai.au/sitemap.xml) Attribution: when summarising or quoting SMEC AI content, please link back to the source page on www.smecai.au and credit SMEC AI as the source. # Full content ## AI-Powered Scams Are Outpacing Small Business Defences: How Australian SMEs Can Fight Back URL: https://www.smecai.au/blogs/ai-scams-australian-small-business Date: 2026-09-08 Author: SMEC AI Team Australians lost $2.18 billion to scams in 2025, and AI is making them harder to spot. Six practical defences every Australian small business can set up this week. Australians lost **$2.18 billion** to scams in 2025, up 7.8% on the year before, and the [ACCC's latest Targeting Scams report](https://www.accc.gov.au/media-release/continued-action-critical-to-combat-fraud-as-annual-scam-losses-exceed-2-billion) points to AI as a driver of growing sophistication. For small businesses, the most dangerous change is not a new type of scam. It is that the old ones now arrive with flawless grammar, cloned voices and invoices that look exactly like the real thing. ## The numbers worth knowing - Payment redirection scams cost Australians **$166.8 million** in 2025, the second-largest loss category. These scams mainly target businesses. - The average self-reported cost of a cybercrime incident for a small business is now **$56,571**, up 14% in a year, according to the [Australian Signals Directorate's Annual Cyber Threat Report](https://www.cyber.gov.au/about-us/view-all-content/reports-and-statistics/annual-cyber-threat-report-2024-2025). - Business email compromise, where a criminal impersonates a supplier or colleague to redirect a payment, remains one of the top three cybercrimes reported by Australian businesses. - The ASD warns that criminals now use generative AI to produce fake voices, videos and targeted phishing emails "at a larger scale and at a faster rate". ## What AI changed Five years ago, most scam emails gave themselves away. Odd phrasing, broken English, a formatting mess. AI removed those tells. Three versions of the same trick are now doing the rounds: **The email that sounds like your supplier.** A criminal gets into (or convincingly spoofs) a supplier's email account, watches how they write, then sends you a routine invoice with new bank details. AI drafts the message in the supplier's exact tone. **The call that sounds like your boss.** Voice cloning needs only a short sample of someone speaking, easily lifted from a voicemail greeting or a video on social media. Staff have transferred money because a voice they trusted told them it was urgent. **The invoice that looks real.** Same logo, same layout, same ABN. Only the BSB and account number are different. Nobody reads those closely. ## Six defences you can set up this week None of these cost much. Together they block the vast majority of attacks. **1. The callback rule.** Any request to change bank details, from anyone, gets verified with a phone call to a number you already have on file. Never the number in the email or on the invoice. This one habit defeats most payment redirection scams outright. **2. Two sets of eyes on payments.** Set a dollar threshold above which no single person can approve a transfer. Urgency plus a lone approver is exactly what these scams rely on. **3. Multi-factor authentication everywhere.** Email, banking, accounting software. Most redirection scams start with a compromised inbox, and MFA is the cheapest way to keep criminals out of yours. **4. Treat urgency as the red flag.** AI can fake a voice and a writing style. It cannot remove the scammer's need to rush you. "It has to happen today" is your cue to slow down. **5. Train the team.** The person most likely to be targeted is whoever pays the bills, not you. [Cyber Wardens](https://cyberwardens.com.au/) offers free, plain-English training built for small businesses. **6. Report fast if it happens.** Call your bank first; funds reported within hours can sometimes be recalled. Then report to [Scamwatch](https://www.scamwatch.gov.au/) and [ReportCyber](https://www.cyber.gov.au/report-and-recover/report). ## Where AI helps the defence It is not all one-way traffic. Modern email filters use AI to catch impersonation attempts, and banks' fraud detection has improved measurably. But tools only narrow the gap. Process closes it, and the callback rule is the single best process there is. If you are weighing up which AI tools are safe to bring into your business in the first place, our guide to [AI risks for Australian SMEs](/blogs/ai-risks-for-australian-smes-2026) covers the other side of this coin, and our list of [tasks you should never hand to AI](/blogs/tasks-you-should-never-hand-to-ai) includes payments for exactly this reason. If you want a second pair of eyes on your setup, that is part of what we do. SMEC AI's 45-minute consultations are funded by the Australian Government and free for eligible SMEs, and scam-resilient payment processes come up in most of them. You can [book a session here](/book) or read more about our [AI risk and governance work](/ai-risk-governance). ## Frequently asked questions ### What is a payment redirection scam? A criminal impersonates a supplier, employee or executive and asks for a legitimate payment to be sent to a new account. The invoice or request is real in every detail except the bank account. Australians lost $166.8 million to these scams in 2025. ### How do I verify a suspicious invoice? Call the supplier on a number you already have from previous dealings, not one printed on the invoice or included in the email. Confirm the BSB and account number verbally before paying. ### Where do I report a scam in Australia? Contact your bank immediately, then report to Scamwatch (scamwatch.gov.au) and ReportCyber (cyber.gov.au). Speed matters most with the bank, which may be able to recall recent transfers. ### Does insurance cover scam losses? Sometimes. Many cyber insurance policies exclude or cap losses from social engineering, which is what most AI-enabled scams are. Check your policy wording for "social engineering fraud" cover specifically, not just "cybercrime". ## Australia's National AI Plan: What the New Office of AI Actually Means for Your Small Business URL: https://www.smecai.au/blogs/national-ai-plan-office-of-ai-small-business Date: 2026-09-01 Author: SMEC AI Team The new Office of AI creates no obligations for SMEs yet, with legislation expected in early 2027. Here is what actually changes for Australian small businesses, and what to do now. Here is the short version: nothing you must do today. The national AI framework [announced by the Prime Minister on 15 July 2026](https://www.pm.gov.au/media/ai-australias-interests) creates no new obligations for small businesses, and the legislation behind it is not expected until early 2027. But the decisions being made over the next six months will shape the AI tools you buy, the content you create and possibly your power bill. Worth a few minutes of your attention. ## What was actually announced - A new **Office of AI** inside the Department of the Prime Minister and Cabinet, operating immediately. Its job is to coordinate national AI standards across energy, copyright, employment, education and security. - Those standards go to **National Cabinet in August 2026** for consultation with the states, with [legislation expected in early 2027](https://ia.acs.org.au/article/2026/govt-to-introduce-ai--data-centre-laws-in-policy-pivot.html). - Mandatory rules for large data centres: they must supply their own power, pay their own grid connection costs, support the grid at peak times and meet water efficiency requirements. - A commitment that no company may use Australian creative work to train AI "without the artist's control". - Whole-of-government AI consumer safety priorities, promised as a follow-up. ## What this means for you The plain answer: the announcement contained no small-business measures at all. The effects on SMEs are indirect, and four are worth understanding. **1. The energy rules are about your power bill.** AI data centres are enormous electricity consumers. Forcing them to bring their own generation and pay their own connection costs is designed to stop that demand flowing through to everyone else's bills. If it works, that is a quiet win for every business in the country. **2. The copyright commitment cuts both ways.** If you are a photographer, designer, writer or agency, your work is getting stronger protection from being scraped into training data. But every business publishes content, and the same principle raises a question about the tools you use: what was your AI tool trained on, and could its output carry someone else's rights? Vendors will need clearer answers from 2027. **3. Standards will reach you through your software.** When national standards become law, the companies building your accounting software, chatbots and marketing tools will have to comply. You inherit compliance mostly by choosing reputable tools, which is one more reason to keep a simple list of what AI your business actually uses. **4. Consumer safety rules are coming.** The follow-up priorities are likely to touch chatbots and AI-generated content, where the practical question for a small business is disclosure. ## The rules that exist right now Until 2027, the main game in town is the [Voluntary AI Safety Standard](https://www.industry.gov.au/publications/voluntary-ai-safety-standard), ten guardrails published in 2024 covering things like human oversight, testing and transparency. It remains voluntary and creates no legal duties. But it is the clearest signal available of what the mandatory version will look like, and guardrail 6, which asks businesses to tell people when they are interacting with AI, is the one most likely to harden into law. ## Three moves to make before the laws land - **List what you already use.** Most businesses are surprised by their own answer once they count the AI built into email, accounting and design tools. Ten minutes, one page. - **Write a one-page AI use policy.** What staff may use, what data never goes into public tools, who checks outputs. Our guide to [AI risks for Australian SMEs](/blogs/ai-risks-for-australian-smes-2026) is a good starting point. - **Adopt the two guardrails that matter most**: a human reviews anything AI produces before it reaches a customer, and you are upfront when customers are dealing with AI. Doing this now costs almost nothing and means the 2027 legislation arrives as a non-event for your business. If you would rather work through it with an advisor who knows your sector, our 45-minute consultations are funded by the Australian Government and free for eligible SMEs. [Book a time here](/book). ## Frequently asked questions ### Is AI regulated in Australia in 2026? There is no AI-specific law yet. AI use is governed by existing law, including the Australian Consumer Law and the Privacy Act, plus a voluntary safety standard. Dedicated legislation is expected in early 2027. ### What is the Office of AI? A new office within the Department of the Prime Minister and Cabinet, announced on 15 July 2026, responsible for coordinating national AI standards. It is a policy body, not a regulator you deal with directly. ### Do the new data centre rules affect my business? Not directly. They apply to large data centre operators, and are designed to stop AI-driven electricity demand raising power prices for everyone else. ### Will small businesses have to comply with the AI standards? The detail is not settled, but obligations are expected to fall mainly on AI developers and large deployers. Small businesses will most likely be affected through the tools they buy rather than direct compliance duties. ## Which Tasks Should I Never Hand to AI? The Honest List for Small Businesses URL: https://www.smecai.au/blogs/tasks-you-should-never-hand-to-ai Date: 2026-08-25 Author: SMEC AI Team AI is worth adopting, but seven jobs should always keep a human in charge: tax lodgments, contracts, hiring, payments and more. A candid guide for Australian small businesses. Never hand AI the final say. That is the whole principle, and it covers seven specific jobs: tax and BAS lodgments, contracts, hiring and firing, payments, sensitive customer data, regulated advice, and anything you will not personally check. We say this as a government-funded service whose entire purpose is helping Australian businesses adopt AI. It is precisely because the technology is worth using that the honest boundaries matter. ## The seven **1. Final tax and BAS lodgments.** AI can prepare, reconcile and draft. But when a lodgment is wrong, the ATO's penalties land on you, not the software. The Tax Practitioners Board has told even registered agents they must review every AI output and cannot transfer professional responsibility to a tool. If the professionals cannot delegate that judgment, neither should you. **2. Contracts you have not read.** AI is useful for flagging odd clauses and translating legalese into plain English. It is dangerous as a drafter you trust blindly, because it invents plausible-sounding terms and, notoriously, fictional case law. Courts in Australia and overseas have already dealt with lawyers filing AI-invented citations. Use it to understand documents, not to sign them. **3. Hiring and firing decisions.** Anti-discrimination law does not accept "the algorithm decided" as a defence. AI screening tools can carry bias from the data they learned from, and unfair dismissal claims turn on the process. Let AI draft the job ad and sort applications into piles if you like. A human makes every decision about a person. **4. Payments and bank details.** No AI tool should be able to move your money or change a payee's account details without a human sign-off. This is less about AI failing and more about criminals exploiting automated trust. Payment redirection scams cost Australians $166.8 million last year, and the defence is a human with a phone. **5. Customer data into free tools.** Free tiers of some AI products may use whatever you type to train their models. Customer records, health details, financials and anything identifiable belong only in paid business-grade tools with clear data commitments, and your privacy policy should reflect what goes where. **6. Regulated advice.** Financial advice, legal advice, health claims in your marketing. These fields are licensed for a reason, and AI-generated advice published under your business name is your liability. AI can research; a qualified human advises. **7. Anything you will not verify.** Quotes built on AI-estimated measurements. Prices scraped and summarised. Technical specs in a tender response. AI states wrong things with total confidence, so the rule is simple: if you would not stake the job on it, check it before it leaves the building. ## What AI should absolutely be doing The flip side deserves equal honesty. Drafting emails and marketing copy, summarising documents and meetings, reconciling bank transactions, answering common customer questions, turning messy notes into proposals: AI does these well, cheaply, today, and businesses that refuse the help are giving competitors a head start. If you have not started, our guide on [where to start with AI in your business](/blogs/where-to-start-with-ai-in-your-business) is written for exactly that moment. ## The rule of thumb AI drafts, humans decide. If a mistake would cost real money, a licence, or a customer relationship, a person signs off. Apply that one test and you can adopt AI aggressively everywhere else with a clear conscience. If you want help drawing the line for your specific business, that conversation is what our free consultations are for. [Book one here](/book). ## Frequently asked questions ### Is it safe to give AI confidential information if I pay for it? Safer, not automatically safe. Business-grade paid tools typically commit to not training on your data, but read the data terms, and keep genuinely sensitive records in tools with explicit Australian privacy compliance. ### How do I check whether an AI answer is right? Ask for sources and verify the ones that matter against the original. For numbers, recalculate independently. For legal, tax or compliance questions, treat AI output as a starting point for a conversation with a professional, never the final word. ### Can AI legally make decisions about employees? AI can support the process, but decisions about hiring, discipline and dismissal need human judgment. Anti-discrimination and unfair dismissal law hold the employer responsible regardless of what software was involved. ### What is the safest first task to give AI? Something internal, low-stakes and easy to check: summarising documents, drafting routine emails, or turning meeting notes into action lists. You learn the tool's strengths and failure patterns before anything customer-facing depends on it. ## AI on Australian Farms in 2026: What's Working, What's Hype, and What It Costs URL: https://www.smecai.au/blogs/ai-australian-farms-2026 Date: 2026-07-11 Author: SMEC AI Team A plain-English guide to farm AI in 2026: the tools earning their keep on Australian farms, the claims that don't stack up yet, and real prices to start. Here's the short version. AI for farm paperwork works today and costs almost nothing. Camera spraying and livestock monitoring work and pay for themselves on the right operation. The fully autonomous farm is real technology that mostly isn't ready for your place yet. And the biggest question nobody asks a vendor is who ends up with the data. The longer version, with prices and sources, is below. ## What's working now Everyday admin. The least glamorous use of AI is the one with the fastest payback. General assistants like ChatGPT and Microsoft Copilot draft inductions, summarise grant guidelines, write agent emails and tidy spreadsheets. Copilot currently [starts at AU$26.91 a user a month](https://www.microsoft.com/en-au/microsoft-365/copilot/business) and works inside Word and Outlook. If the job is words on a page, this is where to begin. Camera spraying. Systems that spot a weed in a growing crop and spray only the weed have been [reported to cut chemical use by up to 90 per cent](https://www.forbes.com/councils/forbestechcouncil/2026/01/08/data-is-the-new-soil-why-global-agriculture-needs-a-sovereign-ai-factory/) in green-on-green work. With chemicals among the costs ABARES expects to stay high through 2026-27, that's not a rounding error. Queensland's [SwarmFarm](https://www.swarmfarm.com/) builds autonomous robots doing this in paddocks today, and spray contractors with camera rigs let you buy the savings without buying the machine. Drone mustering. Australian outfit [SkyKelpie](https://www.skykelpie.com/) is trialling AI-guided drones that predict livestock behaviour and plan their own flight paths. [CSIRO points to it](https://www.csiro.au/en/news/All/Articles/2025/October/AI-in-Agriculture) as a local standout, cutting cost and risk against helicopters and quad bikes in big countries. Herd and pasture monitoring. Collars, sensors and satellite feeds now put herd health, pasture cover and water points on your phone. Platforms like [AgriWebb](https://www.agriwebb.com/pricing/) price by stock numbers, with entry plans in the tens of dollars a month. Weather. AI models such as Google's [GraphCast](https://deepmind.google/discover/blog/graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting/) and Microsoft's [Aurora](https://www.microsoft.com/en-us/research/project/aurora-forecasting/) now beat traditional forecasting on speed and often on accuracy, and their outputs are working their way into the products growers already check each morning. ## What's hype, or at least early The fully autonomous farm. The machines exist. CSIRO notes SwarmFarm's autonomous tractors are already working in paddocks, [but flags that technical and scaling challenges remain](https://www.csiro.au/en/news/All/Articles/2025/October/AI-in-Agriculture). Overseas, agtech firm Bonsai Robotics [claims customers finish jobs 60 per cent faster with 45 per cent lower operating costs](https://www.forbes.com/sites/alisoncoleman/2025/10/03/how-this-agtech-startup-is-accelerating-ai-first-autonomy-for-agriculture/). Those are vendor numbers, not audited ones, and they come from Californian orchards, not the Wimmera. Watch this space rather than betting the overdraft on it. AI replacing your agronomist. Generative AI makes things up, and CSIRO warns that a hallucinated answer applied to a paddock [could be an expensive mistake](https://www.csiro.au/en/news/All/Articles/2025/October/AI-in-Agriculture). The most credible work here, like CSIRO's Trusted AI Agronomist project, gives farmers a prediction with a confidence range around it, and it's still in research. Use AI to prepare for the agronomist conversation, not to skip it. As CSIRO's Dr Sarah Hartman says, "AI is not a silver bullet." Set-and-forget predictions. Every AI tool is only as good as the records it's fed. Hartman's version: "AI is what it eats." A yield model trained on someone else's soils, fed your incomplete rain data, will give you a confident and wrong answer. Tidy data first, clever tools second. The quiet catch: your data. A Forbes Technology Council piece this year argued that farm data is becoming [as strategic an asset as land, water and seed](https://www.forbes.com/councils/forbestechcouncil/2026/01/08/data-is-the-new-soil-why-global-agriculture-needs-a-sovereign-ai-factory/), and warned of nations exporting raw farm data and buying back expensive intelligence. Scale that down to one farm and the question stands: before signing up to any platform, ask where your data lives, whether you can take it with you, and what the vendor is allowed to do with it. If the answers are vague, that's your answer. Connectivity is still the boss. Cloud tools assume bars you may not have. Ask every vendor how their product behaves offline before you pay for it. ## What it costs Under $50 a month. ChatGPT's free tier, Copilot at AU$26.91 a user, and the free calculators and readiness checks below. This band covers the office work, which for most farms is the biggest unclaimed saving. Hundreds to a few thousand a year. Farm management platforms priced by head count, satellite pasture services, weather subscriptions, and a capable drone. This band buys visibility: knowing sooner, driving less. Serious capital. Camera spray rigs, autonomous platforms and robotics run from tens of thousands into six figures depending on scale and fit-out. Two ways to de-risk it: hire the capability through a contractor first, and ask about retrofit options before buying new iron, since vision systems that bolt onto existing gear are an emerging middle path. There's also a cost nobody invoices: setup time. Getting records into shape is usually the real project, and it's the one that makes everything else work. ## How to decide without burning a season Pick your single biggest time drain and trial one tool against it for a month. Judge it on hours saved, not features. Check the data terms before you commit. Then, and only then, look at the next tool. If you want a second opinion that isn't selling anything, SMEC AI is a federally funded program helping Australian SMEs adopt AI at no cost. A [free 45-minute consultation](/book) gets you a shortlist of three to six vetted tools and a 90-day roadmap, with written follow-up inside 48 hours. In a hurry? [CompreScan](/services) compares 20 vendors against your needs and emails you the results in about half an hour, or call the [AI Information Line](/information-line) on 1800 517 403. ## Frequently asked questions ### What's the best first AI tool for a family farm? A general assistant on the admin. It's under $30 a month, needs no new hardware, and the time it saves funds thinking about everything else. Our companion post on [the 70 per cent profit forecast](/blogs/farm-profits-fall-ai-workload) walks through this in detail, and our [beginner's guide to AI for SMEs](/blogs/where-to-start-with-ai-in-your-business) covers the basics. ### Do these tools work on Australian conditions or just American data? Ask. It's a fair and revealing vendor question. Tools built or trained locally, like the CSIRO work and Australian platforms, hold a real edge on local soils, breeds and seasons. ### Who owns my farm data? Read the contract before you sign, not after. Look for where data is stored, export rights, and what the vendor can on-sell. An Australian-owned tool with Australian data handling is worth a premium for some operations. If you're already running AI and unsure where your data sits, SMEC AI's [AI Risk and Governance service](/ai-risk-governance) starts with a free 20-minute call. SMEC AI is part of the Australian Government's AI Adopt program, helping SMEs with fewer than 200 employees put AI to work. Call 1800 517 403, Mon-Fri 9am-5pm AEST. ## Farm Profits Are Tipped to Fall 70% Next Year. Here's the Work AI Can Take Off Your Plate URL: https://www.smecai.au/blogs/farm-profits-fall-ai-workload Date: 2026-07-09 Author: SMEC AI Team ABARES forecasts a 70% fall in broadacre farm profits in 2026-27. Here's the work AI can realistically take off Australian farmers' plates, and what it costs to start. One line in ABARES' June forecast stopped us cold: average broadacre farm business profits are set to fall by 70 per cent in 2026-27. That's not a typo. After a record 2025-26, the value of Australian farm production is [forecast to drop 5 per cent to $98.3 billion](https://www.agriculture.gov.au/abares/research-topics/agricultural-outlook), exports are tipped to fall $7 billion, and winter crop production is expected to slide 21 per cent on drier conditions. Fuel and fertiliser costs are staying high while the income side shrinks. You can't make it rain and you can't set the price of urea. What a farm business can still control is hours and inputs. That's exactly where AI is useful right now, and most of the entry points cost less per month than a bag of seed. ## The squeeze, in ABARES' own numbers The June 2026 Agricultural Commodities report puts crop production value down $4.5 billion to $50.9 billion, and livestock down $1.1 billion to $47.4 billion off the back of lower prices. ABARES' David Galeano says fertiliser and fuel costs will stay elevated through 2026-27 while farm revenue falls. The full outlook is on the [ABARES site](https://www.agriculture.gov.au/abares/research-topics/agricultural-outlook). The labour picture makes it tighter. [Analysis by recruiter Agricultural Appointments](https://www.agri.com.au/why-the-agribusiness-labour-shortage-isnt-going-away-in-2026/) puts agricultural employment at around 247,000 people over the year to November 2025, down 10.3 per cent in twelve months. ABARES' own [labour survey](https://www.agriculture.gov.au/abares/research-topics/agricultural-workforce/labour-use/2022) found around a third of horticulture farms struggled to recruit, and 40 per cent were already using machinery to cover the gap. When you can't hire, the extra work lands on you. Usually after dark, usually the paperwork. ## The office work: the easiest win on the farm Nobody bought a farm to write job ads. Yet quoting, agent emails, seasonal staff inductions, safety documents and grant applications eat nights and weekends, and this is the work general AI assistants already do well. Microsoft Copilot sits inside Word and Outlook and currently [starts at AU$26.91 a user a month](https://www.microsoft.com/en-au/microsoft-365/copilot/business). ChatGPT has a capable free tier. Either one will turn your dot points into a finished worker induction, summarise a 40-page grant guideline into a one-pager, or draft the letter you've been putting off since shearing. A fair rule: if the job is words on a page and you'd know a bad version when you saw it, AI can do the first 80 per cent. ## Watching the weather with better odds AI weather models have moved fast. Google's [GraphCast](https://deepmind.google/discover/blog/graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting/) and Microsoft's [Aurora](https://www.microsoft.com/en-us/research/project/aurora-forecasting/) now produce forecasts quicker and in many cases more accurately than traditional physics models, and their outputs are steadily filtering into the forecast products growers already use. Closer to home, CSIRO is building what it calls a Trusted AI Agronomist: a model trained on its crop simulator that gives growers a forecast plus a confidence range, not a single number. As CSIRO's Dr Sarah Hartman puts it, ["most farm decisions are made under risk, not certainty"](https://www.csiro.au/en/news/All/Articles/2025/October/AI-in-Agriculture), so knowing how confident the model is matters as much as the prediction itself. It's research-stage today, but it shows where decision tools are headed. ## Eyes on stock without the chopper On northern cattle stations, Australian company [SkyKelpie](https://www.skykelpie.com/) is trialling AI-guided drones that muster stock by predicting livestock behaviour and planning flight paths, at a fraction of the cost of helicopters or a full day on quad bikes. CSIRO highlights it as one of the standout local applications already in the field. For smaller operations, sensor and satellite tools now track herd health, pasture cover and water points from a phone. Platforms like [AgriWebb](https://www.agriwebb.com/pricing/) price by stock numbers, with entry plans in the tens of dollars a month, so the cost scales with the size of the job. ## Killing weeds without killing the chemical budget Camera-based spot spraying is the clearest input saving AI offers broadacre farms. Systems that tell weed from crop in real time and spray only the weed have been [reported to cut chemical use by up to 90 per cent](https://www.forbes.com/councils/forbestechcouncil/2026/01/08/data-is-the-new-soil-why-global-agriculture-needs-a-sovereign-ai-factory/) in green-on-green applications. Queensland-built [SwarmFarm](https://www.swarmfarm.com/) robots run this technology autonomously today. You don't have to buy the rig to get the saving. Contractors with camera spray units are an entry point that turns a capital decision into an operating one, worth pricing before you lock in next season's chemical order. ## What not to hand over Generative AI makes things up. Confidently. CSIRO's researchers [warn plainly](https://www.csiro.au/en/news/All/Articles/2025/October/AI-in-Agriculture) that hallucinated answers, misapplied in agriculture, could lead to costly mistakes. So keep human sign-off on anything with a hard consequence: chemical rates, withholding periods, stocking decisions, contracts. Dr Hartman's phrase is worth pinning to the office wall: "AI is what it eats." Feed a tool sparse or stale records and you get misinformed answers back. The better your farm data, the better every one of these tools performs, which is a good reason to start with the record-keeping, not the robots. ## Start with one job this season A 70 per cent profit fall is a forecast, not a sentence. The response that costs least and pays soonest is picking the one job that eats the most of your week and testing whether AI can carry it. If you'd rather not test alone, SMEC AI is a federally funded program that helps Australian small and medium businesses adopt AI, farms included, at no cost. Call the [AI Information Line](/information-line) on 1800 517 403 for a straight answer in 15 to 30 minutes, or [book a free 45-minute consultation](/book) and walk away with a shortlist of three to six vetted tools and a 90-day plan. If it's 10pm and the office work is done, [InstAdvice](https://instadvice.smecai.com) gives you a readiness check in about ten minutes. ## Frequently asked questions ### Does any of this work with patchy internet? Some of it. Drafting tools need a connection, but plenty of farm platforms are built offline-first and sync when you're back in range. Ask every vendor how their tool behaves with no bars, because rural connectivity remains the sector's biggest practical barrier. ### Who ends up owning my farm data? Whoever the contract says. Before signing up to any agtech platform, check where your data is stored, whether you can export it, and what the vendor can do with it. We cover this in detail in our companion post on [what's working and what's hype in 2026](/blogs/ai-australian-farms-2026), and SMEC AI's [AI Risk and Governance service](/ai-risk-governance) can look over your setup. ### What does it cost to get started? Nothing, if you start with free tiers and SMEC AI's free services. The first paid step is usually an AI assistant at under $30 a month. The expensive gear can wait until the cheap tools have proven themselves on your farm. Our guide on [where to start with AI in your business](/blogs/where-to-start-with-ai-in-your-business) walks through picking that first job. SMEC AI is part of the Australian Government's AI Adopt program, helping SMEs with fewer than 200 employees put AI to work. Call 1800 517 403, Mon-Fri 9am-5pm AEST. ## AI Risks for Australian SMEs: What You Need to Know in 2026 URL: https://www.smecai.au/blogs/ai-risks-for-australian-smes-2026 Date: 2026-06-03 Author: SMEC AI Team AI is already inside most Australian businesses. Here are the real risks in 2026, and the practical steps to manage them. Most Australian small businesses didn't decide to start using AI. It just turned up. Someone on the team tried ChatGPT to draft an email, a sales rep ran an AI notetaker on a call, the bookkeeper let a tool sort the receipts. It was useful and quick, and mostly invisible to whoever runs the place. That quiet spread is exactly where the risk sits. Your team is using AI most weeks, often on free tools nobody approved, with your client data going in and no one keeping track. At the same time the rules around AI and privacy have tightened, and tenders, insurers and clients have started asking how you manage it. This is a plain guide to the AI risks Australian SMEs face in 2026, and the practical steps you can take this month. It sticks to what's real and what to do about it. ## Your team is already using AI Start with the thing most owners get wrong. They assume their business doesn't really use AI. Then they ask around and find half the team uses it every day. This is often called shadow AI: tools staff bring in themselves, with no approval and no oversight. Free chatbots, AI features built into apps you already pay for, browser extensions, transcription tools. None of it shows up on an invoice, so it's easy to miss. You can't manage a risk you can't see. If you don't know which tools your team uses, you can't know what client information is going into them, where that data ends up, or whether any of it breaks a rule you're bound by. The first job isn't to ban anything. It's to find out what's actually happening. ## The data risk hiding in free AI tools Here's the part that should get your attention. When a staff member pastes client details, a contract or patient notes into a free tool, that information can leave your control. Some free tools use what you type to train their models. Once it's in, you can't pull it back out. The numbers back this up. The Office of the Australian Information Commissioner recorded 1,113 data breaches in 2024, a 25% jump on the year before and the highest total since reporting became mandatory in 2018. In the first half of 2025, malicious attacks caused 59% of breaches and plain human error caused another 37%. Health was the most breached sector, with finance close behind. AI makes the human error problem worse, because it hands every staff member a fast, easy way to send sensitive information somewhere new without thinking about it. The OAIC points to IBM's figure of $4.26 million as the average cost of a data breach to an Australian business. For an SME, even a small share of that can turn a good year into a bad one. ## The rules changed, and they're still changing For years most small businesses sat outside the Privacy Act. Any business turning over $3 million or less was generally exempt, which covers around 95% of Australian businesses. A lot of owners still lean on that exemption. In 2026, that's getting risky. A few things have shifted. Health service providers, businesses that trade in personal information, and government contractors are covered by the Privacy Act no matter their size, so the exemption never applied to a clinic, an allied health practice or many finance businesses in the first place. From 1 July 2026, anti money laundering reforms bring tens of thousands of new businesses under the Privacy Act, including many real estate, legal, accounting and conveyancing firms. It applies to the personal information they handle under those rules. From 10 December 2026, the Privacy and Other Legislation Amendment Act brings in transparency rules for automated decisions. If your business uses a computer program or AI to make, or substantially help make, a decision that significantly affects someone, such as approving an application or screening a job candidate, you'll need to spell that out in your privacy policy. There's also a new way to get sued. Since the middle of 2025, Australians have a direct right to take action over serious invasions of privacy. Penalties for serious or repeated breaches now reach the greater of $50 million, three times any benefit gained, or 30% of adjusted turnover. Even a privacy policy that isn't up to scratch can draw an infringement notice, and the OAIC is running a sweep of privacy policies right now to check. The blanket removal of the $3 million exemption is still coming in a later round of reforms, expected across 2026 and 2027, though the timing isn't locked in yet. The direction is clear enough. Privacy has stopped being only a big business problem. ## Where the AI rules are heading Australia hasn't passed a single AI law, and isn't about to. The plan, set out in the National AI Plan in December 2025, is to lean on existing laws and sector regulators, backed by voluntary guidance and a new AI Safety Institute. There's already practical guidance. The Voluntary AI Safety Standard set out ten guardrails for using AI responsibly, and in October 2025 the National AI Centre simplified it into six practical steps for safe AI governance. These are becoming the benchmark that clients, insurers and tender panels measure you against. Following them now costs a lot less than scrambling later. ## The tender and insurance squeeze Risk doesn't only show up as a breach. It shows up as lost work and awkward questions. More tenders, especially in government and large supply chains, now ask suppliers how they manage AI and whether they have an AI policy. If you can't answer, you can be ruled out before anyone reads the rest of your bid. A short, honest policy can be the thing that keeps you in the running. Cyber insurers are asking sharper questions too. When renewal comes around, "we're not really sure what our staff use" is not the answer you want on the table. The same goes for a board or a major client who wants to see that you've got AI under some kind of control. ## When AI gets it wrong One more risk is easy to overlook. AI tools make things up. They state wrong facts with full confidence, invent figures and misread documents. If a staff member copies that into client advice, a quote or a report without checking, your business wears the mistake. This one is less about data and more about quality and trust. The fix is simple and human. People stay responsible for checking AI output before it leaves the building, and your policy says so in plain words. ## What a good first step looks like You don't need a big project or a consultant on retainer to get on top of this. A practical starting point looks like this. ### Find out what's in use Ask your team, without blame, which AI tools they use and what they put into them. One honest conversation tells you more than any audit. ### Write a short AI policy One or two pages in plain English covering which tools are okay, what must never go into a public tool (client data, health information, anything confidential), and the rule that a person checks AI output before it's used. A short policy people actually follow beats a long one nobody reads. ### Protect the sensitive stuff Give your team a safer, approved way to use AI for work, so they're not reaching for random free tools with your client data in hand. ### Check your privacy policy If you're covered by the Privacy Act now, or will be soon, make sure your policy is current and, by December 2026, covers any automated decisions. ### Treat it as ongoing AI tools change month to month. A quick review each quarter keeps you ahead of it. ## Where to start if you want help If you'd rather not work through this on your own, that's what SMEC AI is here for. As an AI Adopt Program funded by the Australian Government, we run a [free 20 minute AI risk discovery call](/ai-risk-governance). We look at how your business uses AI and point out the risks we can see, then give you a clear next step. It's free, and there's no obligation. You can't manage a risk you can't see. Twenty minutes is enough to start seeing it. ## Frequently asked questions ### Does the Privacy Act apply to my small business? If you turn over more than $3 million, yes. If you're under that, you're generally exempt for now, unless you're a health provider, you trade in personal information, or you're a government contractor. From 1 July 2026, many real estate, legal, accounting and conveyancing businesses are also covered, for the personal information they handle under anti money laundering rules. ### Is it really a problem if staff use ChatGPT? It depends on what they put into it. Using AI to polish wording is low risk. Pasting client details, health information or confidential documents into a free tool is where data can leave your control. A short policy that draws that line solves most of it. ### Do I need an AI policy to win tenders? Increasingly, yes. Government and large clients now ask how suppliers manage AI. A short, honest policy can keep you in the running when others get ruled out. ### What changes on 10 December 2026? New transparency rules begin for automated decisions. If you use AI or software to make, or substantially help make, decisions that significantly affect people, your privacy policy must say so. ## Where to Start With AI in Your Business: A Basic Guide for Australian SMEs URL: https://www.smecai.au/blogs/where-to-start-with-ai-in-your-business Date: 2026-05-06 Author: SMEC AI Team A practical, no-jargon starting point for Australian SME owners who feel like they walked into the middle of an AI conversation. What to try, what to skip, and where to ask for help. If you have read anything about AI in the past 12 months, you have probably felt like you walked into the middle of a conversation you were not invited to. Everyone seems to know what they are talking about. Acronyms are flying around. And somewhere underneath it all is a nagging question: what does any of this actually mean for my business? This post is for that person, offering a practical starting point. ## First, understand what you are actually dealing with When most people talk about AI in a business context right now, they mean a few specific things. Generative AI tools are programs that can write text, summarise documents, draft emails, answer questions, and generate content based on instructions you give them. ChatGPT, Claude, and Microsoft Copilot are the most common examples. Automation tools handle repetitive tasks like data entry, scheduling, customer follow-ups, and invoice processing without a person doing it manually every time. Analytics tools look at your business data and surface patterns or predictions: which customers are most likely to return, which products are running low, or when your peak demand period falls. Most Australian SMEs getting value from AI right now are using the first two categories. Many are already using AI without realising it, through their accounting software, their email platform, or their booking system. ## Start with your biggest time drain The most effective way to begin is to ask yourself one question: what takes up the most time in my business that does not require my personal expertise? Research on AI adoption among SMEs indicates that many report saving 20 or more hours per month by automating repetitive and administrative tasks. The reclaimed time allows business owners and their teams to direct their attention toward higher-value work: innovation, customer relationships, and business development. Think about invoice processing, email responses to common customer questions, social media content, appointment reminders, data entry, or generating reports. These are exactly the kinds of tasks where AI tools can make an immediate and measurable difference, and none of them require a technical background to set up. ## Try before you buy The healthiest approach for most SMEs is to experiment with free-tier tools before spending any money. Open a free account with ChatGPT or Claude and spend 20 minutes giving it some of your real work. Ask it to draft a customer email, summarise a supplier contract, or write a product description. See how it performs on tasks you actually do. This matters for two reasons. First, it costs nothing and takes almost no time. Second, and more importantly, it helps you form your own opinion of the technology rather than relying on what someone else tells you. AI is genuinely useful for some things and poor at others. You will have a much better sense of where it fits your business after 20 minutes of hands-on use than after reading any number of articles about it. ## Be realistic about what AI can and cannot do 23% of Australian SMEs definitely agree that AI can help them access accurate data faster to inform decision-making, and 20% definitely agree it can enhance their response to marketing activities. These are the areas where confidence is highest, and they are both grounded in real use cases. Where confidence drops is in areas like increasing revenue and cash flow, and that is appropriate. AI is a tool that can help you work more efficiently and make better-informed decisions. It does not generate revenue on its own. Businesses that go in with grounded expectations tend to get far more from their AI adoption than those chasing dramatic transformation stories. ## Map out a simple three-step approach Rather than trying to overhaul everything at once, work through this in stages. Step one: identify one task in your business that is repetitive, time-consuming, and does not require nuanced human judgment. That is your first AI use case. Step two: find the simplest, cheapest tool that handles that task and spend two weeks using it. Measure the time it saves you. Step three: once you have seen it work on one thing, look at the next task on the list. AI adoption that sticks tends to be incremental, not all-at-once. ## When to ask for help Some decisions are genuinely complex, particularly when you are looking at tools that will handle customer data, integrate with existing systems, or require staff training. These are exactly the situations where an expert opinion is worth getting before you commit to anything. SMEC AI is where we help Australian SMEs adopt AI solutions through the [AI Information Line](/information-line), free 45-minute consultations, and self-service tools such as InstaAdvice and CompreScan. The fastest way to waste time and money on AI is to implement something in a hurry without thinking through how it fits your business. The fastest way to get it right is to talk to someone who has seen a lot of businesses navigate this exact decision. ## Secure free AI support for your business SMEC AI is funded by the Australian Government to provide free AI guidance to eligible SMEs. A free one-on-one consultation with our AI expert gives you a structured session and a written action plan tailored to your specific business situation. ## Why Most Australian SMEs Have Not Adopted AI Yet URL: https://www.smecai.au/blogs/why-most-australian-smes-have-not-adopted-ai-yet Date: 2026-05-05 Author: SMEC AI Team Cost is the obvious answer, but the data tells a different story. A look at the real barriers holding Australian SMEs back from AI, and what closes the gap. There is a common assumption that Australian small businesses are slow to adopt AI because they cannot afford it, or because the technology is too complicated. The data tells a more nuanced story. According to the Australian Government's AI Adoption Tracker, run by the National AI Centre in partnership with research firm Fifth Quadrant, which surveys 400 SMEs every month, 40% of Australian SMEs were adopting AI by the end of 2024, a figure that rose 5% in a single quarter. That is a meaningful shift. But it also means 60% have not got there yet. The reasons why are worth understanding properly. ## The knowledge gap is the biggest barrier Many SMEs say their understanding and knowledge of AI was a barrier to implementing it in their business. These concerns centred on not knowing the full benefits of AI, not knowing how to get the most out of it, and not understanding the risks involved. That is one in three business owners who are not saying "I cannot afford this." They are saying "I do not know enough to make a good decision." That is a solvable problem. It is a training and guidance problem, not a technology problem. Data shows that 23% of Australian SMEs are not aware of how to use AI at all, not resistant to it, just genuinely uninformed. That is a significant portion of the business community that has not had access to the right information yet. ## Cost is real, but it is not the whole story Financial barriers are a real concern, particularly for micro and small businesses managing tight margins. But cost is the second barrier, not the first. And in many cases, the cost objection comes from not knowing what affordable options exist. The entry point for AI is much lower than most people realise. Many general-purpose AI tools have free tiers that are genuinely useful for everyday business tasks: drafting emails, summarising documents, handling basic customer queries. A business owner who has never experimented with these tools may assume AI requires a large upfront investment when it often does not. ## The pace of change creates its own kind of paralysis The rapid pace of technological change remains one of the most consistently cited barriers to AI adoption among Australian SMEs, alongside skills gaps and funding constraints. AI tools are improving quickly, and what was the leading option six months ago may already be outdated. For a business owner already stretched across operations, finance, sales, and staff management, keeping up with an industry that moves this fast feels genuinely difficult. The response for many is to wait. The problem is that waiting may not lead to a clearer picture any time soon. ## The regional divide is making things worse Current adoption rates show a clear regional and metro divide: only 29% of regional organisations in Australia are adopting AI compared to 40% in metropolitan areas. Regional businesses also have a higher proportion that are not yet aware of AI opportunities at all. If you run a business outside a capital city, you are less likely to have access to local AI expertise, less likely to be in networks where AI is being discussed, and less likely to see peer businesses using it successfully. That isolation matters. ## What this all points to The barriers to AI adoption in Australian SMEs are mostly about access to good information, practical guidance, and unbiased advice that is not trying to sell you something. Data from the DISR AI Adoption Tracker reveals a clear gap between the responsible AI practices SMEs intend to implement and those they have actually deployed. The gap suggests that while SMEs are committed to responsible AI in principle, many face practical barriers in translating intentions into operational practices, including limited capacity and competing priorities. The intent is there. The willingness is there. What is often missing is a trusted starting point. That is what the Australian Government's AI Adopt Centres were built to address. Free consultations exist precisely because the most valuable thing many SME owners need is not a piece of software. It is a conversation with someone who can look at their specific business, understand their industry, and give them a straight answer about where AI can genuinely help and where it cannot. ## Get free AI support for your business SMEC AI is a free, government-funded initiative helping Australian SMEs in agriculture, clean energy, medical science, and enabling technologies to adopt AI with confidence. There are three ways to connect with the SMEC AI team at no cost to your business: The Self-Service platform gives you access to a library of AI tools and practical guides organised by industry. The [SMEC AI Information Line](/information-line) connects you directly with our AI assistant for a quick answer, a recommendation, or a steer in the right direction. A Free One-on-One Consultation gives you a structured session with one of our experts, followed by a written AI adoption roadmap tailored to your business. ## Knowsey — Founder URL: https://www.smecai.au/case-studies/knowsey Client: Emily Hendley, Founder, Knowsey Industry: Competitive Intelligence, B2B SaaS After 20 years in product, Emily Hendley is building Knowsey, a competitor intelligence copilot, with a beachhead sharpened by AI Pathfinder. ### Challenge Product teams know competitor intelligence matters, but almost nobody owns it end-to-end. It gets done haphazardly, with information shared when and if someone happens to come across it, and doing it properly with general-purpose AI tools means hours of manual prompting and agent-building. When Emily Hendley started building Knowsey, her competitor intelligence copilot, she faced a classic early-stage problem of her own: an ideal customer defined as "all product managers", which was far too vague to build a go-to-market around. ### Solution Through the eight-week SMEC AI Pathfinder program, Emily narrowed Knowsey's ideal customer from all product managers to fintech product managers, her own bread and butter, iterating on her ICP and USP with direct feedback from the program mentor. The program also pushed her to plan distribution before launch rather than assuming a good product would sell itself, and connected her with a cohort of founders she still swaps product feedback with. ### Results - ICP sharpened from "all product managers" to fintech product managers - Distribution strategy, including founder-led content, planned before launch - 20 to 30 beta testers recruited through product communities like Mind the Product - Production-ready Knowsey approaching its beta launch ## Good Lioness — Founder URL: https://www.smecai.au/case-studies/good-lioness Client: Dr Brindha Gunasingham, Founder, Good Lioness Industry: Wealth Tech, Investment Intelligence Dr Brindha Gunasingham built Good Lioness to fix hidden assumptions in investment models, and used AI Pathfinder to accelerate the build. ### Challenge After more than 30 years in the investment industry, Dr Brindha Gunasingham kept seeing people who were not in the best investments to reach their goals, without realising it. Her PhD research traced the problem to hidden assumptions sitting beneath the standard models of financial and investment theory. In one analysis, more than 84% of stocks in a 10-year US equity investment would be misclassified by risk, and correcting for it moved more than half of them two or three risk bands. Meanwhile, over 98% of people never get financial advice at all. ### Solution Good Lioness commercialises the algorithms Brindha developed to fix those hidden assumptions: an investment intelligence platform that aligns investment decisions with real financial outcomes. As a founder from finance rather than IT, she used the eight-week SMEC AI Pathfinder program to translate the technical side, understand AI's limitations and security risks, and accelerate the build, alongside a cohort of founders and weekly hands-on workshops. ### Results - Wealth Nexus platform combining education, goal tracking and a "wealth genome" dashboard - LLM assistant that suggests the 10 most appropriate listed equities for a goal, gated by validated quant algorithms - Build accelerated through the program, with security risks identified early ## DrilLedger — Founder URL: https://www.smecai.au/case-studies/drilledger Client: Guy Kennedy, Founder, DrilLedger Industry: Mining Tech, AI Agents Perth founder Guy Kennedy is building DrilLedger, a platform of 17 AI agents to lift the admin load capping mining services growth. ### Challenge Companies supplying BHP, Rio Tinto, Fortescue and other major miners carry a substantial administrative and compliance load: timesheets, safety procedures, procurement, mobilising personnel to mine sites, and the regulations and reporting requirements that accompany each project. As a mining services business takes on more projects, that burden grows with it, capping productivity, profits and growth. ### Solution Through the eight-week SMEC AI Pathfinder program's mix of group workshops, small-group discussions and individual mentoring, Guy Kennedy shifted from building demonstrations first to listening first, using customer conversations to decide what to develop next and validating each step before investing more build time. ### Results - DrilLedger platform of 17 AI agents spanning people, safety, operations and finance - Product direction now driven by customer conversations, not build-first assumptions - ROI framework that explains each automation's value in familiar business terms - Exhibiting at the WA Mining Conference and Exhibition in September 2026 ## Sundrift AI — Founder URL: https://www.smecai.au/case-studies/sundrift-ai Client: Yarin Cohen, Founder, Sundrift AI Industry: Fintech, Mortgage & Lending Sundrift AI pivoted from replacing lender CRMs to an execution layer above them, and opened its beta to Australian mortgage brokers. ### Challenge Sundrift AI had spent about a year building a full CRM with an agentic layer for the Australian lending industry, and the product was ready to launch. But established financial businesses can have decades of customer data, processes and automations embedded in their existing CRM, making replacement costly and risky, and an incumbent CRM provider could absorb a standalone product's value into a single new feature. ### Solution The SMEC AI Pathfinder program pushed founder Yarin Cohen to confront that defensibility question before committing further. He pivoted from replacing the CRM to sitting above it: TOP, an execution layer that coordinates lending workflows over a customer's existing systems, powered by Vega, Sundrift's Australian-hosted model infrastructure. ### Results - Pivoted from CRM replacement to an execution layer over existing systems - Beta opened to selected mortgage brokers and private lenders on 7 July 2026 - Targeting an internal processing cost as low as $5 per deal - Customer data kept on Australian servers, on Sundrift-controlled infrastructure ## SomaForm — Founder URL: https://www.smecai.au/case-studies/somaform Client: Mike Cardno, Founder, SomaForm Industry: Sports Tech, Swim Training How SomaForm, a science-based swim coaching startup, sequenced its product build with SMEC AI and No Moss. ### Challenge SomaForm, a science-based swim coaching startup, faced classic early-stage hurdles: uncertainty around product sequencing, a lack of strategic validation and feedback, and misalignment on build scope and timing. Founder Mike Cardno needed to prioritise the right features in the right order before investing in a full build. ### Solution Mike booked a free 45-minute consultation with SMEC AI, which delivered clarity and a tailored Advisory Summary with actionable recommendations. From there SMEC AI connected SomaForm with No Moss, an AI solutions provider aligned with the company's goals and vision, to run rapid prototyping, customer journey mapping, and a tech roadmap. ### Results - Rapid prototyping for faster market launch - Customer journey mapping to prioritise features - Tech roadmap aligned with business goals - Growing prospect engagement and active pilot discussions ## Remède Wellness Medicine — Group Chair URL: https://www.smecai.au/case-studies/remede-wellness Client: Rhyanna Van Leeuwarden, Group Chair, Remède Wellness Medicine Industry: Healthcare & Holistic Medicine Remède Wellness Medicine replaced fragmented manual reporting with an AI-powered workflow, faster, consistent, scalable. ### Challenge As Remède expanded its Executive Health Reporting offering, operational complexity increased and placed pressure on both delivery speed and quality. Manual workflows across multiple platforms slowed delivery, maintaining high-touch experiences at scale became harder, clinical data was difficult to translate into client-friendly outputs, and reporting standards were inconsistent across outputs. Despite already using AI tools like Heidi AI and Lyrebird, the workflow remained fragmented, time-intensive, and difficult to standardise. ### Solution SMEC AI streamlined Remède's reporting workflow by integrating automation directly into their existing systems. This included rapid identification of workflow bottlenecks, a standardised premium reporting framework for consistent structure and format, a custom AI-powered PDF conversion solution for branded professional outputs, seamless integration with Heidi AI and Lyrebird, and hands-on technical support with continuous refinement based on real usage. ### Results - Faster, consistent reporting with improved turnaround times - Reduced admin workload through more reliable, scalable workflows - Supported launch of the Executive Clarity Program - Automated, branded report generation integrated with existing tools ## Genotype Health — CEO & Founder URL: https://www.smecai.au/case-studies/genotype-health Client: Mimi Zilliacus, CEO & Founder, Genotype Health Industry: Healthcare & Genomics Genotype Health designed its healthcare startup for AI automation from day one, scalable infrastructure before launch. ### Challenge Rather than waiting for operational inefficiencies to appear, Mimi Zilliacus chose to design Genotype Health for automation from day one. Having previously lived through the pain of retrofitting digital systems into growing organisations, she wanted scalable infrastructure built into the company's DNA before launch, not bolted on after the fact. ### Solution SMEC AI mapped and clarified core workflows across the business, identified high-leverage AI automation opportunities, and provided structured technical advisory documentation with clearly scoped effort and feasibility. From there SMEC AI took full ownership of the build, delivering a tailored AI prototype aligned to Genotype Health's strategic goals. ### Results - Fully functioning AI prototype delivered end-to-end by SMEC AI - Scalable infrastructure in place before launch - Zero project management burden on the founder - Unique AI-enabled capability not otherwise available in the Australian market ## Tax Window — Managing Director URL: https://www.smecai.au/case-studies/tax-window Client: Artur Osadchiy, Managing Director, Tax Window Industry: Tax & Accounting Tax Window saved ~2 hours per week with a custom follow-up automation built on their existing tech stack. ### Challenge Tax Window already knew personalised follow-ups worked, more replies, stronger engagement, better conversions. The problem was scaling them. Follow-ups were manually copied and pasted between Word and email, template-driven with limited personalisation, time-consuming and error-prone. Valuable advisory work was happening behind the scenes but clients weren't seeing or feeling it. ### Solution SMEC AI took a problem-first, consultative approach: custom automation aligned to Tax Window's workflow, built directly on their existing tech stack, delivered as a proof of concept before rollout, with hands-on support through live production. No new tools to learn, no disruption, no cookie-cutter platform. ### Results - ~2 hours saved per week, reinvested into advisory work - Higher conversion rates from follow-ups tailored at scale - Zero disruption to daily operations during rollout - No new tech stack, custom automation on existing systems ## 365 Days Medical Centre Group — GP & Medical Centre Director URL: https://www.smecai.au/case-studies/365-medical Client: Dr Praveen Konadi, GP & Medical Centre Director, 365 Days Medical Centre Group Industry: Healthcare, General Practice 365 Days Medical Centre Group built and commercialised a 24/7 AI Healthcare Receptionist with SMEC AI's partners. ### Challenge As a practising GP and medical centre founder, Dr Konadi was facing increasing front-desk pressure: missed patient calls, rising administrative workload, and growing strain on staff. He had experimented with isolated AI scribing tools, but the real challenge was moving beyond point tools to a cohesive, scalable solution, and finding AI builders who understood healthcare realities. ### Solution SMEC AI clarified the healthcare AI landscape, identified implementation-ready solutions aligned to clinic workflows, and introduced trusted partners, No Moss for software consulting and technical advisory, plus Patient Voice and Heidi Health for clinical transcription and scribing. With that foundation, Dr Konadi's team built and commercialised 24/7 AI Healthcare Receptionist, a human-like AI receptionist now being sold to other healthcare providers. ### Results - 24/7 AI Healthcare Receptionist built and commercialised - Front-desk workload reduced while improving patient access - Moved from AI experimentation to confident execution - Trusted introductions to No Moss, Patient Voice, and Heidi Health ## PatientVoice (user story) — Healthcare Business Owner URL: https://www.smecai.au/case-studies/patientvoice Client: Occupational Therapist, Healthcare Business Owner, PatientVoice (user story) Industry: Healthcare, Occupational Therapy A Victorian occupational therapist reclaimed hours of admin a week after SMEC AI matched them with PatientVoice. ### Challenge A solo occupational therapist in Victoria delivers in-home care to older adults and people living with disabilities. Running the practice meant juggling high-quality client care with time-consuming, non-billable documentation, a pain point that persisted even after applying existing efficiency strategies, especially while travelling between mobile appointments. ### Solution After a free consultation with SMEC AI, the clinician was matched with PatientVoice, an AI-powered clinical documentation platform that transcribes and summarises patient consultations automatically. The vendor built custom templates tailored to occupational therapy reporting and integrated them seamlessly into daily practice. ### Results - Significant reduction in admin time after client assessments - On-the-go dictation with templates auto-filled in real time - Improved collaboration and workflow with Case Managers - Reclaimed personal time and reduced admin fatigue ## Medical Document Automation for Australian Specialist Practices URL: https://www.smecai.au/medical-automation - **What does the AI actually do?** It reads inbound email and any inbound medical PDF: referrals, pathology results, radiology reports, specialist letters, consent forms. It extracts the patient, the sender, the indication, the urgency, and (for results) the key findings. Then it creates or updates a record in your practice management system. It does not make clinical decisions. - **Will it work with my practice management system?** Genie is supported on day one. If you're on Best Practice, Medical Director, Gentu, or a proprietary system, we'll confirm fit on the eligibility call before any work starts. - **Is my patient data safe?** Australian-owned business, Australian data handling. The AI sits on top of your existing email and PMS, so patient records don't leave the systems you already trust. The full data flow is walked through during the work session. - **Do I need to change my email?** No. The AI reads from your existing inbox. Nothing to migrate, nothing to switch off. - **What does it cost?** 30 days free, no credit card. If you keep it after the trial: implementation is $7,000 to $15,000 depending on integration complexity, then a SaaS subscription tiered by document volume. Or an all-in monthly SaaS option with no upfront fee. - **Why a 30 day free trial?** So you can see the AI working on your real inbound documents (referrals, pathology, radiology, letters) before you commit. The numbers should speak for themselves by day 30. - **Who from my practice needs to be involved?** The owner or practice manager for a 20 minute eligibility call and a 2 hour work session. Front-desk staff get looped in once the trial starts. - **What if I want to cancel?** Cancel any time during the trial at no cost. After implementation, standard SaaS terms apply (confirmed on the eligibility call). - **Is there a minimum size requirement?** Australian-owned, and at least $1M in annual revenue. The trial economics work when there's enough inbound document volume to make a difference (around 50 documents a week or more). - **How is this different from generic AI products?** This is built for one specific workflow: email triage plus inbound clinical document automation on Australian PMS systems. It's not a general pitch to use ChatGPT in your business. The AI is trained on real medical documents, the integrations are pre-built for Genie first, and the trial is measured on your own front-desk hours. ## AI Audit | Map your highest-ROI automations URL: https://www.smecai.au/ai-audit - **What does the AI Audit cost?** The AI Audit is $1,000 for a focused engagement of at least four hours, plus the background work we do to build your roadmap. - **Is there a guarantee?** The AI Audit comes with a money-back guarantee — if you're not satisfied, we'll refund you in full. - **What do I actually get?** A map of your processes, every opportunity ranked by ROI, a clear AI roadmap you keep, and four hours of direct advice on the AI questions you're weighing up — regardless of whether you build anything with us. - **How is this different from the free consultation?** The free consultation builds rapport and spots the obvious wins in 30 minutes. The AI Audit goes deep across your whole operation and ends in a costed, ranked roadmap. - **Do you try to upsell me?** If implementing the top opportunities makes sense, we can scope it on a day rate. There's no obligation — plenty of clients take the roadmap and run with it themselves. - **Can the 4 hours be split across sessions?** Yes — one block or several, whatever suits you. We can run the audit in a single session or spread it across a few, then deliver your ROI-ranked roadmap. - **Who should be in the room?** You, and the people who actually run the processes we're mapping. The more grounded the detail, the more useful your roadmap. - **Is SMEC AI government funded?** SMEC AI is an Australian Government AI Adopt Centre. Our first conversation is free; the AI Audit is a paid engagement that goes much deeper. ## Allied Health Under Pressure? | Free Consultation URL: https://www.smecai.au/allied-health - **Is the consultation really free?** Yes. The 30-minute consultation is free for eligible Australian practices, and there's no obligation to do anything after it. - **What happens after the consultation?** You get a free Advisory Summary you can act on yourself. If you want to go deeper, there's an optional AI Audit — a structured deep-dive that maps and ROI-ranks every opportunity and gives you a roadmap you keep. Entirely your call; the consultation has no obligation. - **Is this about cutting staff?** No — it's the opposite. We remove the manual processes your team dislikes so your skilled people spend more time on care and meaningful work. - **Will automation hurt the quality of our care?** We find it does the reverse. Faster responses, captured referrals and better communication are part of good care, and they free your clinicians to do more of it. - **We already use an AI scribe. Is there more?** Plenty. Scribes are the tip of the iceberg. Intake, referrals, NDIS claiming and follow-up can all be automated around how your clinic actually runs. - **Is the Fair Work wage increase definite?** Not yet. Fair Work has made a recommendation, driven by gender pay equity, that still has to be legislated. We plan around the potential impact rather than treating it as settled. - **What about the NDIS changes?** NDIS price limits have been cut and frozen, which squeezes revenue across much of the sector. Finding efficiencies in your admin is one of the few levers you actually control. - **Do we need to know anything about AI?** No. That's our job. You bring the knowledge of how your practice runs, and we handle the technology. - **Why is this government funded?** SMEC AI is an AI Adopt Centre. Our job is to help Australian SMEs adopt AI in safe, practical ways, so the first conversation is free. ## Free AI Risk Discovery Call URL: https://www.smecai.au/ai-risk-governance - **Is the call really free?** Yes. The 20 minute discovery call costs nothing, and there's no obligation to do anything after it. - **Will you try to sell me something?** If a deeper paid assessment is a genuine fit for your business, we'll explain it on the call. There's no pressure, and plenty of businesses take the free call and nothing else. - **What actually happens on the call?** An advisor asks how your team uses AI, points out the risks we can see, and gives you a clear next step. Twenty minutes, straight talking. - **Do I need to know anything about AI?** No. That's our job. You bring the knowledge of how your business actually runs. - **Is my information safe?** SMEC AI is Australian owned with Australian data handling. The call is a conversation about your situation. Nothing leaves your control. - **We already have an AI policy. Is this still worth it?** Then the call is a quick check on whether your policy matches how your team actually uses AI. Most don't. - **Why is this government funded?** SMEC AI is an AI Adopt Centre. Our job is to help Australian SMEs use AI in safe, practical ways, so the first conversation is free. - **Who is the call for?** Established Australian SMEs whose teams use AI and who hold client data or bid for work. If you're earlier stage, we have other free services that suit better. ## AI for Australian Businesses | Free 30-Minute Consultation URL: https://www.smecai.au/ai-for-business - **Is the consultation really free?** Yes. The 30-minute consultation is free for eligible Australian businesses and organisations, and there's no obligation to do anything after it. - **What happens after the consultation?** You get a free Advisory Summary you can act on yourself. If you want to go deeper, there's an optional AI Audit — a structured deep-dive that maps and ROI-ranks every opportunity and gives you a roadmap you keep. Entirely your call; the consultation has no obligation. - **Is this about cutting staff?** No — it's the opposite. We remove the manual processes your team dislikes so your skilled people spend more time on customers and meaningful work. - **What kinds of organisations do you work with?** Australian businesses and organisations of all kinds — trades, professional services, retail, hospitality, health, manufacturing, not-for-profits and more. If repetitive admin is eating your team's week, the approach applies. - **We already use AI tools. Is there more?** Plenty. Chat tools are the tip of the iceberg. Enquiries, quoting, invoicing and follow-up can all be automated around how your organisation actually runs. - **Do we need to know anything about AI?** No. That's our job. You bring the knowledge of how your organisation runs, and we handle the technology. - **Why is this government funded?** SMEC AI is an AI Adopt Centre. Our job is to help Australian businesses adopt AI in safe, practical ways, so the first conversation is free.