What you actually walk away with
The audit is short on theory and long on specifics. By the end of week two you’ll know:
- Which of your existing tool licenses are paying for themselves, and which to cancel.
- Where your team’s time is bleeding in ways AI and automation can compress — and where they can’t.
- What’s still locked in your head that needs to come out before any of this works.
- The one thing worth shipping next, with a real scope, a real timeline, and a real price tag.
- What not to do — including which trendy AI moves would make things worse for your operation.
How the two weeks run
Week 1
- Day 1 — On-site visit (or async equivalent). I shadow the team. I read your last 30 days of email and three months of operational activity. I look at your Drive, your spreadsheets, your tool stack.
- Days 2–4 — Deep dive. Inventory the tools, map the data flows, find where work actually happens vs. where it’s supposed to.
- Day 5 — Mid-point call. We talk through the gaps before I start writing.
Week 2
- Days 6–8 — I draft the report and the recommended scope.
- Day 9 — Working session. We refine the top three opportunities together.
- Day 10 — Final delivery: ranked report, one-page scope, board-ready summary.
Who shows up
Me. Not a junior. Not a researcher. Not a templated report from a different industry. You’re paying for someone who’s been in the operator seat — and that’s who shows up, on day one and day ten.