Pick a job with a payoff
The best opportunities have a clear input, a useful output and a way to recognise success. We keep the model’s role bounded and testable, so you know what you’re getting.
AI integration · 05
Hobart software studio · Working across Australia
AI that earns its keep.
We build AI into business software and workflows where it does a measurable job, with the human review and fallback paths real work demands.
What's at stake
The right AI feature pays for itself. The wrong one is an expensive toy.
AI is genuinely good at reading, sorting, finding and drafting. Point it at the hours your team spends hunting for information or preparing routine responses, and it pays for itself quickly. Point it at everything, and you get a chatbot nobody trusts.
We start with the job, not the technology. If a fixed rule or better search does it more reliably, we’ll say so and save you the money. When AI is the right tool, we build it in with boundaries, review and a way to prove it’s working.
From the work
Engine 64 answers from your content, and shows its sources.
Our own product, Engine 64, builds an AI agent from a site’s existing pages and documents. It answers in the visitor’s words, cites the source behind every answer and hands over to a person when the conversation needs one.
See Engine 64What you get
Everything you need. Nothing you don't.
- 01Knowledge search and grounded assistance
- 02Document classification and information extraction
- 03Enquiry triage and response preparation
- 04Internal copilots and workflow assistance
- 05Human review, confidence and escalation paths
- 06Evaluation, monitoring and usage controls
How we work
No surprises, from first call to launch.
Design for the wrong answer
The interface shows what the system did, where the information came from and when a person needs to check the work. A confident sentence is never treated as proof of correctness.
Prove it on your real work
We test representative examples, edge cases and failure consequences, weighing quality, speed, privacy and cost together. The feature ships when it holds up in daily work, not when the demo looks good.
Is this you?
If any of these sound familiar, we should talk.
- 01Your team spends hours finding and re-explaining information that already exists.
- 02Documents and enquiries pile up waiting for someone to read and sort them.
- 03You want your product to help users without letting a model make promises on your behalf.
- 04You want a straight answer on whether AI is worth it for you, before spending real money.
Straight answers
What people ask before hiring us.
Does an AI feature need human review?
It depends on what a wrong answer costs. Low-risk assistance may only need an easy correction path, while anything touching customers, money or commitments gets explicit review or stronger deterministic controls. We match the guardrails to the stakes.
Can AI use our organisation’s own information?
Yes, and that’s where it gets genuinely useful. A grounded system retrieves relevant material from your approved content and prepares an answer with the sources shown. Permissions, freshness and fallbacks still need real design work, and they get it.
How do I know whether the AI is good enough?
You’ll see it measured. We define representative tasks and expected outcomes, then evaluate accuracy, failure modes, speed and cost against them. The bar for shipping reflects the job and the oversight available, not the hype.
Start a conversation
Tell us what you're building.
The call is free, the language is plain and there's no obligation. You'll leave with a clear recommendation, whether or not we end up working together.
Book a free 30-minute call