Founder-led, technically credible, change-aware.
The rare combination AI implementation actually needs.
AI implementation needs all four at once.
Done well, an AI implementation has to do four things at the same time: read a complex organisation, design the technical system, sell the change internally, and make it stick past ninety days. Almost nobody has all four.
Read a complex organisation
See how the work really flows, where the friction lives, and which problems are worth solving first.
Design the technical system
Architect AI tools and workflows that fit the systems you already run, not a greenfield fantasy.
Sell the change internally
Bring leadership and operators along so the work is wanted, not imposed from the top.
Make it stick past ninety days
Build the adoption, documentation, and confidence that keep the value compounding long after launch.
Why the alternatives miss.
When only some of the four show up, the result falls short in a predictable way.
Big consultancies
Seven-figure, multi-year programmes. Heavy on slides, slow to deliver anything you can use.
Generalist freelancers
A few hours of help and no bench behind them when the work gets harder or wider.
Vibe coders
A slick demo that looks great on day one and gets ripped out in six months.
Senior judgment on every engagement.
An exited founder who built and sold Jexo, a B2B project-management and workflows SaaS used by 5,000+ companies across many industries, for $8M.
A decade-plus of hands-on production software, working with AI since before ChatGPT. Early-career experience inside large-scale change programmes in complex, regulated organisations.
That senior judgment sets the technical standard on every engagement, and the team is built to deliver to it.
“Adoption has to happen in a non-disruptive, non-destructive way, because the wrong approach causes more harm and more slowdown than not adopting AI at all.”