A process designed to end in handover.

1. 01

   Diagnose

   Week 1

   We find where time and revenue are actually leaking, and which of those problems AI is genuinely suited to.

   • —Working sessions with you and the people doing the work
   • —A look at the tools, data, and handoffs you already have
   • —A written shortlist of opportunities, ranked by effort and payback
2. 02

   Pick one win

   Week 2

   We agree on a single first problem worth solving — narrow enough to finish, valuable enough to notice.

   • —A scoped definition of done
   • —The measure we will judge it by
   • —What stays manual, and why
3. 03

   Build

   Weeks 3-6

   I build the workflow using AI tools and your existing systems, and test it against real cases from your business.

   • —Built against your real data, not a demo
   • —Reviewed with the people who will use it
   • —Adjusted until the output is something you would send
4. 04

   Hand over

   Weeks 7-8

   Your team learns to run it without me in the room, with written instructions they can actually follow.

   • —Live walkthroughs with the day-to-day owners
   • —Plain-language documentation
   • —A clear escalation path when something looks wrong
5. 05

   Improve

   Ongoing

   We review what it produced, fix what drifted, and decide together whether to tackle the next bottleneck.

   • —A monthly review of output quality and time saved
   • —Adjustments as your process changes
   • —The next opportunity queued only when the last one is stable

Timings are typical, not promised. Complex work takes longer, and you will be told which kind yours is before anything gets built.