Practical AI automation for small business
We help Sydney businesses separate useful AI from expensive noise, then build the assistants and automations that save real work. Start with a review, a working session or a complete build.
Where AI work actually starts
Continuous rather than a one-off engagement. Each stage tells you whether the next one is worth doing.
Assess position
Review how your business appears to customers, search engines, marketplaces and AI tools. Find what is clear, what is missing, and where trust is leaking.
Redesign structure
Make your website, product data, tracking and integrations easier for people and AI tools to read. Align the structure to how customers decide now.
Optimise with AI, not for AI
Decide what the business should optimise for, then build AI into that one direction rather than bolting it on wherever it seems to fit.
Adapt continuously
Platforms change quickly. Keep checking visibility, risk and performance, so you can adjust rather than react.
AI capabilities
AI readiness review
We look at your systems, your data and how work moves through them, and say where AI would help and where it wouldn’t.
AI chat bots
An assistant for customers or staff that answers from your own products, documents and policies rather than the open web.
AI systems
The retrieval, model routing, evaluation and monitoring behind an assistant, which is what keeps it accurate as your content changes.
Process automation
Repetitive work that runs on rules or documents, moved off people and into software.
Model choice and spend
Which model does which job, with a ceiling on monthly spend and reporting against it.
Training and handover
Your team learns to run what we build, with written documentation to match.
Three ways to work with us
You can start at any of these. Most people start with the first.
Discovery Taught
Free courses at the Learning Centre. Learn enough about AI to judge whether you need us at all.
Discovery Together
A paid working session with your team. You leave with a written plan you own, whether or not we build it.
Discovery Built
We build it, run it while it settles, then hand it over documented.
Work you can check
Echo is our own build. It answers from a tenant’s own catalogue and documents, routes across model providers, streams responses, and runs to a spend ceiling per tenant. It is in production inside Jamtable.
Tell us what is not working
Start with the problem. We can discuss the likely scope, timing and cost before any decision.
