AI, in practice
AI that does real work in your business.
I build AI systems for clients and run several inside my own studio. It is the biggest jump in what one person can deliver that I have seen in twenty-five years of doing this.
The gap is widening.
The businesses moving on this now are compounding the advantage every month.
- 01
What used to take a team
Design, build, integrations, content and search once meant five people and someone to manage them. With AI through the pipeline, one experienced person carries the whole thing, faster and with fewer hand-offs to go wrong.
- 02
What used to be out of reach
Custom software, an assistant trained on your own material, automation running across the systems you already use. Three years ago that was an enterprise project. Now it fits a small business.
Where it pays hardest.
- 01
Work that repeats itself
Re-entering details, sorting documents and assembling the same output every week are the fastest wins available.
- 02
Answers buried in your own material
An assistant grounded in your services, manuals or policies answers in seconds and shows where each answer came from.
- 03
Slow first responses
Drafting and triage close the gap between an enquiry landing and a useful human reply going back.
- 04
Content produced at volume
A properly built pipeline turns out consistent first drafts and imagery at a pace no manual process matches.
- 05
Custom software with a clever step
The strongest use is usually inside an ordinary app, doing the one job a rule-based system was never going to handle well.
Proof
Built and used, not just demonstrated.
Oona is my own live subscription family app, with shared calendars, lists, chores and an AI assistant that can turn a photographed note into useful structured information. It is the standard for client work: real users, real constraints and ongoing maintenance.
Next step
Let’s find where it pays in your business.
The first conversation is no-obligation. You’ll get straight answers either way, from the person who would do the work.