How to choose an AI developer in Canberra.
Choosing an AI developer comes down to six checks: they start with your business problem, they can show working systems, you talk directly to the builder, they quote fixed prices, they raise data privacy unprompted, and they hand over ownership rather than lock-in. This guide covers each check, the questions to ask, what it should cost, and the red flags - so you can evaluate anyone, including us.
What to look for
Six checks that separate builders from sellers.
They start with your problem, not their technology
A good AI developer's first questions are about your business: where enquiries come from, where time leaks, what growth is blocked on. If the conversation opens with model names and platform pitches before anyone has asked how your business works, that's a seller, not a developer.
They can show working systems, not slideware
Ask to see something they've built running - a live chatbot, a voice agent you can ring, an automation walkthrough. Case studies should name real outcomes: calls captured, hours saved, leads booked. Demos and decks are easy; production systems that survive real customers are the actual test.
You'll work with the people doing the work
Small AI projects fail most often in translation - between the salesperson who scoped it, the account manager who relayed it, and the developer who built something else. Ask directly: who designs this, who builds it, and who do I call when something breaks? The shorter that chain, the better the result.
They quote fixed prices against a written scope
AI work has enough genuine uncertainty without open-ended hourly billing. A developer who understands the work can scope it: what the system will do, what it connects to, what it costs, and when it ships. In Canberra, a focused build like a trained chatbot or automated follow-up system typically runs $1,500-$4,000.
They take data privacy seriously without being asked
Your AI developer should raise data handling before you do: what customer data the system touches, where it's stored, and how it's kept out of model training. For legal, health, and finance businesses this is non-negotiable - professional obligations don't pause because a chatbot is answering the phone.
They hand over ownership, not dependence
You should own the accounts, the code, and plain-English documentation of how everything works. Ongoing support is a fair offering; lock-in is not. Ask: 'If we part ways in a year, what happens to the system?' The answer should be 'it keeps running, and any competent developer can maintain it.'
Take this to the meeting
Eight questions to ask every candidate.
A capable developer answers these directly - and raises several of them before you do.
- Can I see a system like this running for another client?
- Who exactly will design and build this, and will I talk to them directly?
- What's the fixed price, and what precisely is in scope?
- What happens to my customer data - where does it go, and is it used for training?
- What does the system connect to, and what happens when one of those tools changes?
- What do I own at the end - accounts, code, documentation?
- What's the expected payback - hours saved or leads captured per month?
- What ongoing costs should I budget for (API usage, platform fees, support)?
What it should cost
Honest pricing bands for the Canberra market.
Focused AI build
$1,500 - $4,000
A chatbot trained on your business, an AI voice agent, or an automated lead follow-up system. Fixed price, typically delivered in weeks.
Larger custom builds
Scoped per project
Multiple integrations, custom AI tools, or systems spanning several workflows. Should still come with a written scope and fixed quote.
Ongoing support
$300 - $800/mo
Monitoring, fixes, and improvements. Optional - a well-built system should not require it to keep running.
Budget separately for small ongoing platform costs: AI API usage and tools like Zapier or Make typically add tens of dollars per month, not hundreds, at small business volumes.
When to walk away
Five red flags.
“AI transformation” pitches
Most small businesses need two or three well-chosen automations, not a transformation program. Big promises with vague deliverables usually mean a discovery phase that produces a document, not a system.
No questions about your current tools
Good AI work plugs into your existing CRM, calendar, and website. A developer who doesn't ask what you're running is planning to sell you a stack you don't need.
Hourly billing with no estimate
Uncapped hourly AI work is where budgets go to die. Experienced developers can scope and fix-price the common builds.
Reselling one platform for every problem
If the answer to every question is the same platform they happen to be a partner of, the recommendation is about their margin, not your fit.
No mention of failure modes
AI systems make mistakes. A trustworthy developer talks about escalation paths - what happens when the bot doesn't know - before launch, not after the first complaint.
Full disclosure
Hold us to the same standard.
We wrote this guide and we're an AI developer in Canberra, so judge us by it: founder-led delivery with no account managers, fixed-price proposals after a free scoping call, working systems you can see, and full handover of accounts, code, and documentation. Ask us the eight questions - we like them.
- You talk directly to the two people who build your system
- Fixed prices quoted against a written scope, always
- Real client systems we can walk you through
- You own everything we hand over - no lock-in
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