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Hands-on tech and AI support for small businesses
A$8,000 for a tech stack review, clean-up, optimisation, and AI recommendations that fit the tools, team, and budget already inside the business.
Small businesses in Australia have a lot of options with software, and that choice often becomes a challenge to manage. The review creates one clear picture of the tools, records, access, workflows, and AI opportunities that can be managed by the team after rollout.
People in small businesses are often time-poor, the subscriptions keep accumulating, and AI only helps once the current tools, data, and daily jobs are clear enough to build on.
Review the tools, clean up the stack, then choose AI with confidence.
A$8,000 for review, clean-up, optimisation, and AI recommendations.
Marshall Tech is a hands-on tech agency. For a fixed A$8,000 we sit in the tools with you, review every subscription and workflow that matters, clean up and optimise what you already pay for, and write a clear recommendation for which AI tools fit that stack, the team's capabilities, and the budget you can sustain.
Very few small businesses have a spare fortnight to do this work themselves. Accounting software, a CRM, inboxes, shared drives, booking apps, and add-ons that were useful at signup tend to keep billing long after the original reason for buying them has faded, which is why quotes still live in email and why a forgotten trial is still on the card. The review is the time to put that in order before another tool is added on top.
The written output covers the current stack, what can be simplified, which records are usable, and where AI can sit inside the way the team already works: missed calls, follow-up, inbox, quotes, reporting, and the jobs that currently live in one person's head.
- A full map of the tools the business pays for, who uses them, where each one fits, and which subscriptions can be simplified.
- A clean-up and optimisation pass across the current stack, with practical fixes for duplicated records, unclear ownership, and handoffs that create avoidable admin.
- Recommendations for AI tools that fit the current stack, the team's confidence level, the data available today, and the budget the business can sustain.
- A rollout plan that covers training, operating notes, access, data handling, and the first custom build opportunities that could support growth.
The research points to one practical problem: the stack, data, and rollout have to be handled together.
Australia has about 2.6 million small businesses, and this is the part of the economy where admin load, tool cost, and team capacity show up quickly. Intuit's 2026 Australian research, with commentary from the Australian Chamber of Commerce and Industry, put it plainly: owners are short of time, cost pressure is up, and they are already reaching for productivity tools to get hours back.
AI use is rising, and the picture depends on how you measure it. The Australian Bureau of Statistics reported that 12 percent of Australian businesses used AI in 2024-25, up from the prior year, with a wide gap between innovation-active small businesses and the rest. The National AI Centre's SME pulse for December 2025 to February 2026 put some level of SME AI adoption at 43 percent for the quarter, and 44 percent in February, which is the strongest monthly result in that series for several months.
The same National AI Centre briefing is useful for the gap after signup: 19 percent of SMEs said they still need a clear starting point for using AI in the business, and many still struggle to see a relatable example for a team like theirs. COSBOA has made a similar point at national level, noting that around 30 percent of small businesses use AI for day-to-day tasks while only 14 percent have been able to integrate it into core operations or services.
The research reports behind this page describe the same pattern from a practical angle: Australian small businesses often run across several cloud tools for accounting, CRM, scheduling, documents, payments, and reporting, and the hidden cost is the time spent moving data between them. Cleaning up that environment recovers cash, reduces login sprawl, and gives any AI recommendation a stable place to live. The Australian Signals Directorate's small-business AI guidance also treats cloud AI as something you adopt with the rest of your systems in mind, including access and data handling, which is much easier once you know what you already run.
43%
The National AI Centre reported that 43 percent of Australian SMEs had some level of AI adoption across December 2025 to February 2026, while many still needed a clearer starting point for applying AI inside their own business.
National AI Centre SME pulse
12%
The Australian Bureau of Statistics reported that 12 percent of Australian businesses used AI in 2024-25, with adoption varying by industry and business maturity.
ABS Characteristics of Australian Business
1 in 4
The NSW Small Business Commission found that one in four NSW small businesses were using AI tools, with almost half of those users reporting a positive impact on the business.
NSW Small Business Commission
14%
COSBOA commentary on the National AI Plan noted that around 30 percent of small businesses use AI for day-to-day tasks, while 14 percent have integrated AI into core operations or services.
COSBOA
Five jobs small businesses ask us to take on.
The A$8,000 review covers the first three in a single engagement. Education, rollout, and custom builds follow once the stack and the AI recommendations are agreed.
Talk through your stackWe map every tool the business pays for, how it is actually used, where data is duplicated, and which subscriptions can be simplified, so the stack is cheaper to run and easier for the team to keep straight.
The review turns broad AI interest into a manageable plan.
Stack and subscription clean-up
Accounting software, CRM, workspace, booking, document capture, and reporting tools are reviewed together, so the business can see what belongs in the core stack and what has become background cost.
Tool choice and budget fit
The recommendation compares tools against the way the team already works, the support available after rollout, the monthly cost, and the likelihood that staff will keep using the system.
AI fit across the business
Customer enquiry handling, quote follow-up, inbox triage, internal knowledge search, meeting notes, reporting, and document intake are assessed against data quality, access, risk, and payback.
Education and rollout
Training is built around the jobs staff already do, with simple operating notes and early support so the new setup becomes a normal part of the week.
Custom systems for growth
Where a standard product leaves a gap, the next step can be a small integration, agent, workflow, dashboard, or internal tool that connects the stack and keeps ownership clear.
What this can mean for the business.
A cleaner stack usually shows up as fewer duplicate records, fewer unused seats, and a shorter list of tools the team has to remember. Quotes, invoices, and follow-up start living in one system, replacing the mix of email, spreadsheets, and someone's memory, which is the foundation for any AI receptionist, inbox helper, or reporting job that comes next.
The NSW Small Business Commission found that one in four NSW small businesses were using AI tools, and almost half of those users reported a positive impact. Intuit reported that among Australian businesses that had made AI part of daily operations, 76 percent saw improved productivity and 40 percent saw increased revenue, while only a small share described AI as core to how they operate. The review is how we close that gap: the tools that fit, the training to roll them out, and a plan the team can keep running.
A simple hours check is still the most useful one. Eight hours a week of admin at a loaded cost of A$60 is about A$2,000 a month. If the clean-up plus a well-chosen AI tool removes most of that, the A$8,000 review pays back quickly. If the hours are lighter than they first appeared, the recommendation stays small, and business.gov.au remains a good official starting point for the government view of AI in business.
The Productivity Commission has estimated that getting AI adoption right could add a large figure to Australian GDP over a decade, which is a national story. For a single small business the story is narrower and more useful: fewer hours on the same five questions, a phone that still captures a booking after hours, and a Monday report that pulls from the systems you already pay for. Accountants Daily summarised the confidence gap well: curiosity is high, and the missing piece is support that meets owners where they already are.
The integration research also separates rule-based automation from AI. Invoice syncing, tax codes, field mapping, and strict approval flows are usually better as predictable workflows, while AI is more useful where language, judgement, summarisation, or customer context is involved. That is why the review recommends both tool clean-up and AI fit, because the right answer is often a combination.
Rollout matters as much as selection. Research on small-business digital adoption regularly points to skills, confidence, understanding, time, and cost as barriers, and the Digital Solutions program on business.gov.au exists for the same reason: small businesses often need practical support around the tool, the process, and the people using it.
Led by the person who reviews the stack and ships the work.
The page is attributed to Nick Hugh, founder of Marshall Tech and principal AI engineer. Nick's profile lists production AI deployments, systems architecture, database design, custom software, tech stack optimisation, and fractional CTO leadership across small and growing Australian businesses.
“The biggest mistake with automation is treating it as a technology decision. It's a financial decision. Hours saved times hourly cost minus automation cost equals monthly net value. If the payback is beyond 6 months, re-scope.”
On calculating automation ROI
“Most businesses should build 10-20% of their stack and buy the rest. Build what differentiates you. Buy the commodity functions. Review the split annually. What you bought last year might need building this year.”
On the build vs buy technology decision
“The three fastest AI wins for most small Australian businesses are content repurposing, support triage, and internal knowledge search. Each can be live in four to six weeks and each shows clear before-and-after time savings within the first month.”
On AI use cases for small Australian businesses
Proof from teams that needed cleaner tools and faster delivery.
“Nick cut through the noise and showed us exactly which tools to keep, which to cut, and how to connect them properly. Our admin time dropped by half in the first month.”
“From concept to 50k users in under three months, on a budget that was a fraction of what the agencies quoted. The AI content curation was the feature that made us stand out.”
“Having Nick as our fractional CTO transformed how we build product. The AI features he built saved our team hours every day, and his guidance gave us confidence in our technical decisions.”
A$8,000 to put the stack in order.
That fee is time in your tools: a review of what you pay for, a clean-up and optimisation of the current setup, and recommendations for which AI tools fit the team, the stack, and the budget. Education, rollout, and custom builds are scoped after that work so the next price matches the next job.
| Work | Time | Price |
|---|---|---|
| Tech stack review, clean-up, optimisation, and AI recommendations | 2 to 3 weeks | A$8,000 |
| Education and rollout support | Scoped after the review | Quoted to the plan |
| Custom, cost-effective build | 4 to 6 weeks typical | A$10k to A$30k |
| Ongoing technical support | Monthly | From A$2,000 |
How the engagement runs.
A call, then two to three weeks in the tools, then a written stack plan and AI recommendation the team can act on.
Book a stack review call01
A call to see the current setup
We walk through the logins, the unused seats, the jobs that still live in someone's head, and the budget the business can sustain. A written brief is optional; the logins and a conversation are enough to start.
02
The A$8,000 review
Over two to three weeks we review the stack, clean up and optimise what you already pay for, and write recommendations for which AI tools fit the team, the tools, and the budget.
03
Education, rollout, and optional builds
Once the recommendations are agreed, we train the team, stay on for the first weeks of use, and scope any custom, cost-effective system that will help the business grow with the stack it now has.
Sydney-based, working wherever the business is.
Remote is the default, with on-site in Sydney when it helps. Melbourne, Brisbane, Adelaide, Perth, and regional teams get the same pace, because the work is the stack and the team, wherever they sit.
Provenance
Last updated:
Editorial owner: Nick Hugh
Grounded in Marshall Tech delivery data, named Australian case studies, published pricing, NSW Small Business Commission AI usage findings, National AI Centre SME pulse (Dec 2025 to Feb 2026), ABS Characteristics of Australian Business 2024-25, COSBOA commentary on AI in core operations, Intuit 2026 Australian SMB AI research, ASD small-business AI guidance, and business.gov.au. Updated 13 August 2026.
Proof sources on this site
Adapt Health case study
AI workflows deployed in a small Australian healthcare team with time savings.
SportsBlock case study
AI content automation inside a growing sports platform.
AI readiness guide
A practical readiness checklist written for small Australian businesses.
Pricing
Transparent ranges including the A$8,000 tech stack review, clean-up, and AI recommendations.
Frequently Asked Questions
Yes. Marshall Tech is a hands-on tech agency for Australian teams of about 2 to 50 people. We start with an A$8,000 tech stack review, clean-up, and optimisation, then recommend AI tools that fit the stack, the team, and the budget, and stay on for education, rollout, and optional custom builds.
The engagement covers a full review of the tools you already pay for, a clean-up and optimisation of that stack, and a written set of recommendations for which AI tools fit the business. You leave with a clearer picture of subscriptions, data flows, access, team capability, and the first places AI can sit inside the way the team already works.
Australian small businesses already have a lot of software options, and that choice often becomes a challenge to manage. The National AI Centre's SME pulse found that 19 percent of SMEs still need a clear starting point for using AI in the business, which is as much a stack and training problem as a tools problem. Cleaning up the stack first makes the AI recommendation cheaper, easier to roll out, and easier to keep running.
The review, clean-up, optimisation, and AI recommendations are a fixed A$8,000. Education and rollout support, and any custom build that connects the stack, are scoped after that work so the price matches what the business actually needs. Ongoing technical support is available from A$2,000 a month.
Yes when it is tied to work the team already does, with a payback you can see. The NSW Small Business Commission found that one in four NSW small businesses were using AI tools, and almost half of those users reported a positive impact. Intuit's 2026 Australian research found that among businesses that had made AI part of daily operations, 76 percent reported improved productivity and 40 percent reported increased revenue.
Yes, you need records you can actually get to, which is a much lower bar than a perfect data warehouse. Most small teams score in the middle of a first readiness check, and that is a normal starting point. The review includes which records are usable now and which ones need a light tidy before an AI tool can rely on them.
The A$8,000 tech stack review, clean-up, and recommendations usually run over two to three weeks, depending on how many logins and workflows we need to sit in. Education, rollout, and any custom build are scoped after that, and most teams have a first live change within eight weeks of kickoff.
Yes. We are Sydney-based and work with small businesses across Australia. Remote is the default, with on-site available in Sydney, and Melbourne, Brisbane, Adelaide, Perth, and regional teams get the same pace.
Marshall Tech is a hands-on tech agency with technical, fast-moving support for small businesses. The people who review the stack are the people who clean it up, recommend the AI tools, train the team, and build the next piece if a custom system is the right fit.
A 30-minute call is enough. Bring the tools the team already uses and the work that is eating hours. When the A$8,000 review is the right first step, we agree access, start within days, and come back with a cleaner stack and a clear AI recommendation.
Supporting resources
See the work, then book the review.
Service
AI for Small Business
Broader SMB AI systems page: receptionist, CRM, and scoped builds.
Open resourceService
AI Consultant Sydney
The primary AI consulting service page with delivery approach.
Open resourceService
AI Consultant Australia
National AI consulting page for remote small business engagements.
Open resourceTools
AI readiness tool
Check AI readiness for a small business before committing to an engagement.
Open resourceProof
Case studies
See AI delivery outcomes for businesses similar to yours.
Open resourceAction
Book a discovery call
Start with a 30-minute call. No preparation or commitment required.
Open resourceBring the tools the team already uses.
Thirty minutes is enough to see whether the A$8,000 review is the right first step. We will look at the stack, the budget, and the work that is eating hours, then tell you what the engagement would cover.