AI for small business, starting with the stack you already run
Marshall Tech is a hands-on tech agency for Australian small businesses. We start with a fixed A$8,000 tech stack review, clean-up, and optimisation, then recommend AI tools that fit the team, the budget, and the way work already happens. Education, rollout support, and optional custom builds follow once that plan is agreed.
Start with
The tools you already pay for
First step
A$8,000 stack review
Built for
Australian small teams
Small businesses in Australia have a lot of options with software, and that choice often becomes a challenge to manage. The useful first job is a review of the stack, a clean-up of what you already pay for, and a clear recommendation for where AI can sit inside the team, the tools, and the budget.
Marshall Tech works with Australian teams of roughly 2 to 50 people as a hands-on agency. ChatGPT is useful for drafts; connecting that kind of capability to the CRM, after-hours calls, and a report your bookkeeper trusts is the work that comes after the stack is in order.
Where small businesses get time back
The work that already happens every day is the right place to start: missed calls, follow-up, quotes, invoices, and the same five questions in the inbox. Those jobs have a payback you can see, and they sit on top of the tools you already run, which is why the stack review comes first.
- Cleaning up the tech stack so subscriptions, data, and logins are in one clear picture
- Finding the right tools for the team and the budget, including which AI products actually fit
- Marking where AI can sit across the team, the current tools, and the capabilities you already have
- Education and support to roll those tools out so the team can keep running them
- Custom, cost-effective systems when off-the-shelf software still leaves a gap
Why the stack review matters
The National AI Centre's SME pulse for late 2025 and early 2026 found that around two in five Australian SMEs had some level of AI adoption, while 19 percent still needed a clear starting point for using it in the business. COSBOA has noted that day-to-day AI use is more common than AI that is built into core operations, which is the gap a stack review is designed to close.
We build one working change at a time, in the tools you already use, with a price agreed before the next piece of work. The A$8,000 engagement covers the review, the clean-up, the optimisation, and the AI recommendations; education, rollout, and custom builds are scoped once that plan is on the table.
How the work usually runs
A 30-minute call is enough to see the current tools, the budget, and the work that is eating hours. Pricing stays on the pricing page so retainers are visible before you start.
- A$8,000 tech stack review, clean-up, optimisation, and AI recommendations over two to three weeks
- Education and rollout support so the team can run the new setup
- Optional custom build and monthly support if you want someone watching it after go-live
Next step
Book a free discovery call
30 minutes with Nick Hugh. No preparation needed, no obligation. Start with your situation and we will map out the fastest path to practical AI value.
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Related pages
Provenance
Last updated:
Editorial owner: Nick Hugh
Grounded in Marshall Tech service delivery, named Australian case studies, pricing ranges, and commercial offer definitions for AI systems and consulting.
Proof sources on this site
Frequently Asked Questions
Yes when it is tied to a real job with a payback target, such as missed calls, CRM follow-up, or invoice admin. Marshall Tech starts with a stack review so that job has a stable place to live, and we only move into a build when the hours or recovered revenue cover the cost.
The usual first step is the A$8,000 tech stack review. If a workflow is already obvious after that review, we scope education, rollout, or a custom build next.
Many clients see time savings within 4 to 8 weeks of the first live change. It depends on call volume and how much duplication is in the current process.
Supporting resources
Compare options, validate the proof, and move to implementation.
Sibling
AI Receptionist
High-ROI missed-call recovery for SMBs.
Open resourceSibling
AI Consultant
Scoped consulting before or during a build.
Open resourceSibling
AI Agency
Agency path when you are ready to ship systems.
Open resourceProof
Case studies
Validate claims against named delivery outcomes.
Open resourceAction
Book a discovery call
Start with a fixed-scope diagnostic conversation.
Open resourceBring the tools the team already uses
We will look at the stack, the budget, and the work that is eating hours, then tell you what the A$8,000 review would cover.
Book a discovery call