What AI is already doing for businesses like yours
Practical examples of AI and workflow automation in Australian industries, sorted by how proven they are. Every claim is sourced, so you can check it for yourself.
Property and Real Estate
Download PDFProperty is one of the most AI-active sectors in Australia, but most agencies are using it for writing and replies, not yet for the workflows where the real time is lost. That gap is the opportunity.
What’s typically painful. Property managers carry big portfolios and are swamped by inbound email, tenant and owner messages, maintenance coordination and compliance-driven inspections. Sales agents lose hours on listing copy and follow-ups.
Established
Businesses like yours are already doing this.
Listing descriptions and marketing copy
EstablishedWriting descriptions, posts and ads for every listing takes agent and admin time.
Drafts listing copy and campaign posts from the property’s features. The agent edits for accuracy.
48% of 147 agencies use AI for marketing tasks such as property descriptions. No verified time-saving figure.[2]
Drafting replies to clients, tenants and owners
EstablishedRepetitive emails, SMS and enquiries fill the day.
Reads the conversation and drafts a reply for a person to review. Chatbots can handle first-line enquiries.
49% of agencies automate everyday communications. No verified time-saving figure.[2]
Maintenance requests, from intake to tradie
EstablishedRequests arrive through many channels and need triage, quotes, owner approval and booking, often after hours.
Tenants submit photos or video, and the system sorts urgency, routes to approved trades and keeps everyone updated.
Tasks “up to 70% quicker” (vendor, 2022). The vendor names several major franchise groups as customers.[3]
Emerging
Early adopters are starting. Worth planning for.
Lead follow-up and prospecting
EmergingLeads go cold after open homes and enquiries, and call lists take time to build.
Drafts personalised follow-ups, spots likely sellers from attendee lists and produces call lists.
30% of agencies use AI for prospecting. Mostly examples so far, not measured results.[2]
Bills and invoices into the ledger
EmergingContractor and utility invoices arrive in all formats and are keyed in by hand.
Reads scanned, emailed or handwritten invoices and prepares them for approval.
Routine and exit inspection reports
EmergingPhoto sets and written reports take hours and often cause disputes.
Compares condition across photos and drafts the report for the manager to check.
“Up to 50%” of inspection time (vendor, 2025). No adoption data yet.[5]
Before you start
Protect tenant and owner data. The Privacy Commissioner’s guidance says personal information put into AI tools is still covered by the Privacy Act, and advises against entering it into public AI tools.[7] Agencies hold IDs, financial details and rental history, so this matters.
Check state rules. Tenancy law is state-based, so AI-drafted notices and replies must be accurate for your state.
Keep a person in the loop for anything that affects a tenant’s or owner’s rights or money.
Sources
- NAB, SME AI adoption (April 2026): about 670 SMEs surveyed Nov–Dec 2025; 69% of property services use AI, against 42% of all SMEs.
- Real Estate Business: Surge in AI uptake among Aussie agencies: reports a Reapit survey of 147 agencies. Reapit is a software vendor and the article gives no date.
- iTWire: Bricks + Agent: vendor figures from around 2022. Customer numbers include large franchise networks, not only small agencies.
- PropertyMe: how AI is changing property management: vendor description of its Bills AI feature, with no figures.
- Inspection Express: 360AI launch (July 2025): vendor claim of up to 50% time saved.
- DISR: AI adoption in Australian businesses, 2025 Q1: cross-industry figure for data entry and document processing.
- CPO Magazine on the OAIC AI guidance (Nov 2024): a secondary source, so confirm against the OAIC’s own guidance.
Figures marked “vendor claim” are the vendor’s own and have not been independently verified. Survey figures reflect the businesses surveyed and may not match every agency.
Construction and Trades
Download PDFConstruction is still a cautious adopter. About a third of small firms use AI, mostly for writing. The bigger prize is the paperwork around the job: quotes, calls missed on site, and compliance documents.
What’s typically painful. Owner-operators and small builders are on the tools all day and do quoting, invoicing and compliance paperwork after hours. Calls go unanswered while on site, and quoting from plans is slow.
Established
Businesses like yours are already doing this.
Quotes, proposals and customer emails
EstablishedQuotes, scopes and follow-ups get written at night after a day on site.
A general AI assistant, or a writing helper inside a job app, drafts the text from a few bullet points or past jobs. The owner edits and sends.
27% of AI-using small businesses use generative AI assistants (all industries, 2025). No construction-specific figure.[3]
Emerging
Early adopters are starting. Worth planning for.
Quotes and invoices from job data
EmergingTurning job notes, materials and time into a quote or invoice is slow, and delays hurt cash flow.
Job software drafts the quote or invoice from the job card and past jobs. The owner reviews and sends.
Over 30% of drafted invoices are accepted as-is (ServiceM8, vendor).[4]
Plan takeoff and estimating
EmergingMeasuring plans and building estimates takes time, and missed items cost margin.
Reads plans to measure, suggests estimate line items from past jobs and checks for omissions.
After-hours calls and enquiries
EmergingTradies miss calls while on the tools, and callers move on to a competitor.
An AI voice agent or chatbot answers, collects job details and books a time or creates the job.
Several Australian providers offer this, but no adoption survey or case study with results has been published that we could find.[6]
Safety documents (SWMS)
EmergingWriting a Safe Work Method Statement for each task is repetitive and slow.
Drafts hazards, controls and PPE from the work activity, for a competent person to review and sign.
One large contractor (ACCIONA) cut SWMS completion from up to three hours to minutes. No small-business evidence yet.[7]
Before you start
Check every quote before it goes out. AI can get a price or scope wrong, and a quote can be a contract.
Safety paperwork needs a person. Your duty of care stays with you, so a competent person must review and sign anything the AI drafts.
Protect customer details. The Privacy Commissioner’s guidance advises against putting personal information into public AI tools.[8] Recording customer calls raises state consent rules, so check before using an AI receptionist.
Sources
- NAB, SME AI adoption (April 2026): about 670 SMEs surveyed Nov–Dec 2025; 32% of construction businesses use AI, against 42% of all SMEs.
- iTBrief: AI use surges in Australia’s construction industry: reports the Deloitte and Autodesk 2024 survey. The Australian sample size and firm-size mix were not stated, so it may lean towards larger firms.
- DISR: AI adoption in Australian businesses, 2025 Q1: all-industry figures, not construction-specific.
- ServiceM8: field service management with AI: vendor figures.
- Buildxact: Blu AI assistants: vendor figures, no method given.
- Australian Government AI directory: Made 4 Tradies: shows a provider exists, not that the service works.
- ACCIONA: AI-powered safety tool: published by the company, and ACCIONA is a large contractor, not a small business.
- CPO Magazine on the OAIC AI guidance (Nov 2024): a secondary source, so confirm against the OAIC’s own guidance.
Figures marked “vendor claim” or “company claim” are the supplier’s own and have not been independently verified. Survey figures reflect the businesses surveyed and may not match every firm.
Retail and E-commerce
Download PDFRetail is one of the more active adopters, mostly for writing product and marketing content and answering customers. Stock forecasting and returns are the next wave, and the evidence there is thinner.
What’s typically painful. Small retailers handle a lot of low-value repeat work: writing listings, answering “where is my order” and returns questions, keeping stock right across store and online, and pulling reports from several systems. Cost and trust are the main hurdles: 73% of micro retailers cite cost, and 67% of ANZ retailers worry about inaccurate AI outputs.
Established
Businesses like yours are already doing this.
Product descriptions and marketing content
EstablishedWriting and updating listings, emails and social posts by hand.
Drafts from product details or photos. A person checks accuracy and brand voice before publishing.
37% name marketing content and 34% product content as a top AI use (Shopify, vendor-run). No time-saving figure.[2]
Customer service chatbot and order-status replies
EstablishedStaff answer the same delivery, sizing and returns-policy questions.
Answers from your policies and order data, and hands tricky cases to a person. Can also draft replies for staff.
63.6% of fashion and e-commerce retailers use AI for customer support (monday.com, ANZ, vendor-run). No saving figure.[3]
Sales reports and trends
EstablishedOwners export from several systems and build reports by hand.
Summarises sales, top and slow sellers and trends in plain English, or sends a weekly digest.
33% name data analysis and reporting as a top AI use (one vendor survey). No saving figure.[2]
Emerging
Early adopters are starting. Worth planning for.
Stock forecasting and reorder suggestions
EmergingOverstocking ties up cash and stockouts lose sales. Reorders are by gut feel.
Uses sales history and seasonality to suggest what to reorder and when. The owner approves.
Over 99% availability and up to 20% less inventory capital (Cin7, vendor). No independent evidence for small retailers.[5]
Returns and order-issue handling
EmergingReturns and “my order is wrong” cases take staff time and need consistent policy.
Checks the order, applies your policy and prepares a label or refund for a person to approve.
55% of ANZ shoppers say they would use an AI agent for returns (Salesforce). That is shopper willingness, not retailer use, and there is no evidence of SME use yet.[4]
Before you start
Protect customer details. The Privacy Commissioner’s guidance advises against putting personal information into public AI tools, and asks that customers be told when they are dealing with an AI.[6]
Keep a person on money. Refunds and refusals should be approved by staff. Only 9% of ANZ retailers trust AI to run the whole customer journey unsupervised.[3]
Check what the AI says. Listings must be accurate, so confirm your obligations under Australian Consumer Law.
Sources
- DISR: AI adoption in Australian businesses, 2025 Q1: government tracking; retail adoption 46%.
- eCommerceNews: Shopify survey of Australian retailers (Nov 2025): 513 respondents; a vendor-run survey.
- ITWire: monday.com and CensusWide survey (Sep 2025): 500 ANZ retail leaders; vendor-run, ANZ rather than Australia only.
- Salesforce Connected Shoppers Report (ANZ): shopper and retailer survey run by the vendor.
- Cin7 release via AAP (May 2024): vendor claims, not independently verified.
- OAIC: guidance on commercially available AI products: the Privacy Commissioner’s own guidance.
Figures marked “vendor claim” or “company claim” are the supplier’s own and have not been independently verified. Survey figures reflect the businesses surveyed and may not match every firm.
Hospitality and Food
Download PDFHospitality is already one of the more active sectors. Marketing, invoices and rostering are well trodden. Answering the phone and pricing rooms with AI are the next wave.
What’s typically painful. Owners are squeezed on cost and time. Phone calls go unanswered during service, supplier invoices are keyed by hand, and small properties run bookings from notebooks and spreadsheets. Definitions of “AI” vary, so adoption figures differ between surveys.
Established
Businesses like yours are already doing this.
Marketing posts, promotions and review replies
EstablishedNo time to write posts, emails or replies to reviews.
Drafts from your menu and events. The owner approves and schedules.
89% of AI-using accommodation SMEs use it for marketing and sales (NAB). No results figure.[1]
Supplier invoice capture
EstablishedStaff key supplier invoices by hand and reconcile them against delivery notes.
Reads invoices from email or photo, codes them and sends them to Xero or MYOB for approval.
One WA group of two venues reports manual processing down over 80% (Lightyear case study). A single case.[4]
Digital rostering
EstablishedRosters built in spreadsheets and text messages, with labour out of line with trade.
Rostering software with time and payroll sync. Some tools forecast staffing from past sales.
26% of operators use AI for scheduling (SevenRooms, 2024). No verified saving.[3]
Emerging
Early adopters are starting. Worth planning for.
AI phone answering and order-taking
EmergingCalls go unanswered during service, so orders and bookings are lost.
A voice agent answers, takes the order or booking and sends it to the kitchen or reservation system.
Otto says 34% of restaurant calls go unanswered. Separately, 27% of operators use AI for reservations (SevenRooms). No independent result.[5]
Room rates and channel management (accommodation)
EmergingRates are set by gut feel, with double-booking risk across online agents.
Syncs availability across channels and suggests rates from demand.
A 14-room hotel reports 60-70% more bookings (Little Hotelier). Much of that comes from going online, not only automation.[6]
Before you start
Protect guest details. The Privacy Commissioner’s guidance advises against putting personal information into public AI tools. Guest names, phone numbers and dietary or allergy notes can be sensitive.[8]
Check call-recording rules. AI phone agents that record or transcribe calls raise state consent rules, so confirm before switching one on.
Keep a person on complaints and refunds.
Sources
- NAB, SME AI adoption (April 2026): accommodation, cafe and restaurant adoption and use by function.
- SevenRooms 2025 Australia Restaurant Trends: 258 decision-makers surveyed by Censuswide; vendor-commissioned.
- eCommerceNews: SevenRooms 2024 hospitality survey: vendor survey; its headline adoption figure is higher than later surveys.
- Lightyear: 3Sheets Restaurants case study: vendor case study of one WA business.
- ITWire: Otto launch (Oct 2025): vendor claims from the product launch.
- Little Hotelier: Mercantile Hotel case study: vendor case study, undated.
- Hospitality Net: SiteMinder survey (Oct 2025): global survey of small accommodation providers, run by the vendor.
- OAIC: guidance on commercially available AI products: the Privacy Commissioner’s own guidance.
Figures marked “vendor claim” or “company claim” are the supplier’s own and have not been independently verified. Survey figures reflect the businesses surveyed and may not match every firm.
Tourism and Travel
Download PDFMost tourism operators rely on online travel agents for bookings, and the guest relationship sits with them. AI can cut the admin, and a few cheap steps help you be found when travellers ask an AI assistant. Evidence here is mostly from vendors.
What’s typically painful. Heavy dependence on online travel agents (commission, and they own the guest inbox), re-keying between booking systems, thin seasonal staffing, and a skills gap: 40% of operators say they lack the skills to use AI fully (Tourism Tribe).
Established
Businesses like yours are already doing this.
Guest enquiry auto-replies (accommodation)
EstablishedThe same questions about check-in, parking and pets, at all hours.
Replies from your property’s facts and escalates anything unusual. Built into some agent platforms.
Booking.com says partners report higher satisfaction than with older messaging tools. No time-saving figure.[4]
Dynamic room pricing
EstablishedRates are set by feel, so peaks are missed or rooms over-discounted.
Reads local demand and adjusts rates across your channels.
One five-cottage NSW property reports revenue up 22.4% (SiteMinder case). Single case.[5]
Itinerary and proposal drafting (travel agents)
EstablishedHours go on researching and writing itineraries and client emails.
Drafts from the client brief and your preferred suppliers. The agent checks prices and availability.
Over 75% of 750+ travel sellers use AI globally, and 36% in Asia Pacific use it for itinerary suggestions (Amadeus).[6]
Emerging
Early adopters are starting. Worth planning for.
Booking emails into the reservation system (tour operators)
EmergingGroup and agent bookings arrive by email and are retyped.
Reads the email, extracts dates, numbers and contacts and pre-fills a draft booking for staff to confirm.
Vendor tools exist (launched 2023), but there is no adoption evidence.[7]
Being found by AI trip planners
EmergingTravellers increasingly ask AI assistants, which may not name you or read your site.
Fix your own site and listings so AI tools can read them: clear facts, structured data, fresh reviews.
Tourism Tribe says 42% of travellers used AI to plan in 2025, but other surveys put Australian use lower. No booking uplift is verified.[8]
Damage photos and check-in (independent rental cars)
EmergingScratch disputes and slow counter check-in.
Compares pickup and return photos to flag new damage. Digital licence capture.
Trade-press figures come from large operators overseas. No Australian evidence for independents.[9]
Before you start
Protect passport, licence and payment details. The Privacy Commissioner’s guidance advises against putting personal information into public AI tools.[10] Keep card data in your payment gateway, never in an email or AI prompt.
Keep a person on refunds and cancellations. An AI reply that promises a refund or availability can bind you under Australian Consumer Law.
Sources
- Tourism Research Australia: Tourism Businesses in Australia (June 2025): business counts and sizes.
- Travel Daily: Tourism Tribe State of AI in Tourism 2025: sample size and method were not disclosed.
- Travel Talk: Europ Assistance Holiday Barometer (2026): 21,000 respondents across 23 countries; Australian result only quoted.
- AltexSoft: Booking.com AI guest support (Oct 2025): the satisfaction claim is the vendor’s own.
- Hotel Tech Report: SiteMinder, Barrington Riverside Cottages: vendor-authored case study, undated.
- iTBrief: Amadeus travel seller study (Oct 2026): 750+ sellers across regions; Australia-only data not found.
- Travel Daily: TourConnect AI booking add-in (2023): a vendor launch, with no adoption data.
- Global Travel Media: Tourism Tribe AI statistics: secondary citation; the original study was not located.
- AutoRentalNews: vehicle damage detection (Sep 2023): large operators overseas; no Australian independent evidence.
- OAIC: guidance on commercially available AI products: the Privacy Commissioner’s own guidance.
Figures marked “vendor claim” or “company claim” are the supplier’s own and have not been independently verified. Survey figures reflect the businesses surveyed and may not match every firm.
Transport and Logistics
Download PDFTransport has the lowest AI take-up of the sectors in NAB’s survey, but the tools that cut paperwork and chasing are mature. Most of the evidence comes from the software vendors, so treat the numbers as claims.
What’s typically painful. Dispatch and scheduling (59% of fleet managers in Geotab’s survey), driver safety and fatigue, and the paper trail: dockets, hand-rated freight, slow invoicing and delivery disputes.
Established
Businesses like yours are already doing this.
Route planning, dispatch and customer ETAs
EstablishedRuns are planned by hand and customers chase “where is my delivery”.
Builds and re-plans routes from traffic, time windows and capacity, and sends live ETAs.
51% of fleets report lower fuel costs after AI (Geotab, 517 fleet managers). Geotab’s own posts quote inconsistent figures.[2]
Digital proof of delivery
EstablishedCustomers dispute whether and when goods arrived.
The driver app captures photo, signature and time, and attaches them to the job.
A Perth refrigerated courier “significantly” cut disputes (Locate2u case study). No numbers given.[3]
Automated rating and invoicing
EstablishedPaper dockets, hand-rated freight and slow invoicing leak time and revenue.
A cloud system captures consignments, applies rate rules and generates invoices.
A Melbourne firm cut admin by 40-60 hours a week (CartonCloud, 2020 case). Older, single case.[4]
Emerging
Early adopters are starting. Worth planning for.
AI driver-safety dash cams
EmergingFatigue, phone use and collisions create safety, insurance and legal risk.
Detects distraction and risky events, alerts the driver and scores events for coaching.
Video telematics is common, but the AI detection layer is new (2026 launches). No outcome figure.[5]
Predictive maintenance and demand forecasting
EmergingBreakdowns and uneven booking volumes.
Uses telematics data to flag faults early and past bookings to forecast volumes.
Before you start
Workplace surveillance rules apply. In NSW employers must give 14 days’ written notice before GPS or telematics monitoring. Check your own state before fitting dash cams, especially any with facial recognition.[6]
Protect customer details. The Privacy Commissioner’s guidance advises against putting personal information into public AI tools. Delivery names, addresses and photos count.[8]
Sources
- NAB, SME AI adoption (April 2026): transport and storage adoption and use by function.
- Geotab: AI in fleet management: vendor-run survey of 517 Australian fleet managers.
- Locate2u: Perth Couriers case study: vendor case study, undated.
- CartonCloud: Liquex Logistics case study (2020): vendor case study of one business.
- iTBrief: Geotab AI dash cam launch (2026): includes the 53% in-cab video figure, which is from Geotab’s own survey.
- EROAD: GPS tracking requirements in Australia: a vendor summary covering NSW and the ACT; other states not covered.
- Enterprise Monkey: AI in Australian transport and logistics: an agency blog, with no verified data.
- OAIC: guidance on commercially available AI products: the Privacy Commissioner’s own guidance.
Figures marked “vendor claim” or “company claim” are the supplier’s own and have not been independently verified. Survey figures reflect the businesses surveyed and may not match every firm.
Wholesale and Distribution
Download PDFThe biggest win in wholesale is cutting re-keying: supplier invoices in, customer orders in. Forecasting and enquiry handling are emerging, and Australian evidence for them is thin.
What’s typically painful. Orders arrive as emailed PDFs, spreadsheets and calls and get re-keyed into the system. Supplier invoices are keyed again. Stock is managed in spreadsheets, so stockouts and overstock tie up cash.
Established
Businesses like yours are already doing this.
Supplier invoice capture
EstablishedInvoices arrive by email and are typed in, then matched to purchase orders by hand.
Reads supplier, lines, GST and totals and drafts the bill in Xero or MYOB for approval.
One vehicle distributor estimates about 40% less time on invoice entry, 2-3 days a month (Xtracta page). One firm.[2]
E-invoicing (Peppol)
EstablishedPDF invoices mean keying, lost invoices and “bank details changed” fraud risk.
Invoices go system to system as structured data, so no retyping. This is automation, not AI.
ATO: PDF invoices cost $27-$30 to process; e-invoicing can bring that under $10. These are estimates, not measured results for small firms.[3]
Emerging
Early adopters are starting. Worth planning for.
Sales orders from emailed POs
EmergingCustomer POs arrive as PDFs and are retyped into the system.
Reads the order, matches customer and product codes and drafts a sales order. Exceptions go to a person.
Packaged Australian products exist and DIY builds are newer. Vendor claims are not quoted here.[4]
Demand forecasting and reorders
EmergingReordering by gut feel leaves stockouts on fast lines and cash tied up in slow ones.
Forecasts demand per product and suggests purchase orders. A person approves.
81% want AI for inventory but only 11% use it (inFlow survey of 400 professionals, vendor-run, not Australia-specific).[5]
Customer enquiry and order-status replies
EmergingStaff field “where is my order” and “is it in stock” all day.
Looks up order and stock status and drafts a reply for staff to approve.
Only overseas consultancy estimates were found (Deloitte US). No Australian case study.[6]
Before you start
Protect customer details. Wholesale is mostly business to business, but customer contacts and sole-trader credit applications hold personal information. The Privacy Commissioner’s guidance advises against putting it into public AI tools.[7]
Keep a person on money. Payments and price changes need approval, and tax invoice records must stay intact.
Sources
- DISR: AI adoption in Australian businesses, 2025 Q1: government tracking; the category is “distribution”.
- Xtracta: customer story: a vendor page quoting one customer’s own estimate.
- ATO: benefits of e-invoicing: government estimates.
- Commerce Vision: sales order automation: vendor page; shows a product exists, not that it works for you.
- inFlow survey via AAP (Jul 2026): 400 professionals across 33 industries; vendor-run, country split not stated.
- Deloitte US: gen AI in wholesale distribution: estimates for large US distributors, not small business results.
- OAIC: guidance on commercially available AI products: the Privacy Commissioner’s own guidance.
Figures marked “vendor claim” or “company claim” are the supplier’s own and have not been independently verified. Survey figures reflect the businesses surveyed and may not match every firm.
Professional Services
Download PDFIn a small practice the time sink is the admin around the work: coding bills, matching the bank, chasing clients for paperwork. This guide covers office automation only. Advice and sign-off stay with the professional.
What’s typically painful. Small practices lose non-billable hours to retyping bills, matching bank lines, month-end reporting and following clients for missing documents. Xero reports 35% of practices say AI lets them keep or grow output without adding headcount.
Established
Businesses like yours are already doing this.
Supplier bill and receipt capture
EstablishedStaff retype and code every bill and receipt into the ledger.
Reads the document, drafts the bill with suggested account codes, and learns from corrections. A person reviews exceptions.
Two Australian firms report 5+ hours a week saved with no extra headcount (Dext). Xero says capture is built into its platform.[5]
Bank reconciliation
EstablishedMatching bank lines to the ledger eats time every month.
Auto-matches high-confidence items and queues the unclear ones for a person.
Xero says users save about 50% of monthly reconciliation time. Method not disclosed.[4]
Routine client emails and first drafts
EstablishedSimilar emails, engagement letters and reports are written from scratch.
Drafts from a template and your notes. A staff member edits and approves.
79% of 196 small consulting firms use AI some or all of the time (BizCover, 2025). An insurer’s survey, so indicative only. No time-saving figure.[6]
Emerging
Early adopters are starting. Worth planning for.
Chasing clients for documents and overdue invoices
EmergingHours go on emailing clients for receipts and following up unpaid invoices.
Spots transactions with no document, requests it, sends reminders and matches the reply.
Features were announced in 2026 (Xero, MYOB) with no adoption data yet.[7]
Management reporting and anomaly flags
EmergingMonth-end and client reports are assembled by hand from several screens.
Flags duplicates, unreconciled items and unusual movements and drafts a summary for the accountant to review.
A Xero-commissioned survey has practices self-reporting 8 hours a week saved with AI overall, not for reporting specifically.[3]
Before you start
Protect client data. The Privacy Commissioner’s guidance advises against putting personal information into public AI tools. Use a business or in-platform AI with a clear no-training position for client financials, payroll and any tax file numbers.[8]
Keep a person accountable. AI drafts and flags; the professional checks and signs.
Check your insurance. Confirm with your own broker how professional indemnity cover treats AI-assisted work.
Sources
- Cyber Daily: ABS Business Characteristics Survey 2024-25: a secondary report of the ABS release; covers all Australian businesses.
- iTBrief: MYOB Business Monitor (April 2026): 1,000+ SMEs surveyed.
- Xero: accounting and bookkeeping practice survey (Sep 2026): vendor-commissioned; time savings are self-reported.
- iTBrief: Xero AI tools for accountants (Aug 2026): includes Xero’s own 50% reconciliation claim.
- Dext: Decimal and Streamline Management: vendor-published testimonial.
- BizCover: consulting businesses and AI (2025): 196 businesses with 20 or fewer employees; an insurer’s survey.
- iTBrief: Xero JAX (Jul 2026): announcement of document-chasing and payment follow-up features.
- OAIC: guidance on commercially available AI products: the Privacy Commissioner’s own guidance.
Figures marked “vendor claim” or “company claim” are the supplier’s own and have not been independently verified. Survey figures reflect the businesses surveyed and may not match every firm.
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