AI Strategy.
Know where to focus
This is for you if...
You are making AI bets. You do not know which ones will actually pay off.
Everyone on your team has a different opinion on where to start with AI, and none of them agree.
You have run pilots. None of them made it to production or moved a real metric.
You are worried your competitors are making smarter bets while you are still figuring it out.
You could spend the next 18 months building the wrong thing. You cannot afford that.
What you get
The business outcomes AI should move, mapped.
Every AI opportunity, captured and ranked.
What each initiative depends on, made explicit.
What to build, in what order, and why.
A prioritised backlog of epics, ready to build.
The case for each initiative, on its own terms.
A protocol to revisit and re-sequence each quarter.
It works.
Digital agency // 10M+ revenue
A digital agency doing 10M+ per year with over 100 people and a decade of operational data wanted to move fast on AI. Two goals: expand into new revenue-generating services and cut operational overhead. With everything on the table, they had no clear starting point. We ran a focused strategy engagement: workshops to map the business, use-case scoring across impact and effort, and a sequenced build plan with a clear first move. The first pilot ran in weeks.
Key Results
- 6 high-impact AI opportunities identified across ops and growth
- Manual hours cut by 80% in the first pilot
- Inbound CS processing time improved by 18%
