Business and data review
Two weeks of interviews across operations, finance, technology and the front line, paired with a look at the systems and data you already hold.
A costed, sequenced plan for where AI earns its place in your business, written with the people who will have to deliver it.
Best for
What it is
An AI strategy is a decision about where to spend the next four quarters, not a tour of the model landscape. We look at your margins, your operating model and the work your teams still do by hand, then name the handful of places where AI changes the numbers.
You get a roadmap with owners, budgets, dependencies and a sequence. It says what to do first, what to leave alone, and what has to be true before the next item starts. Short enough to read in one sitting, specific enough to hand to a delivery team.
What we do
Each engagement covers the same four areas, weighted to where your risk and value actually sit.
Two weeks of interviews across operations, finance, technology and the front line, paired with a look at the systems and data you already hold.
Every candidate use case gets a cost, an expected return and a confidence level, so the list is ranked by money rather than enthusiasm.
We map dependencies between use cases and name an internal owner for each, including the ones we recommend you do not build.
A written case for the plan in your language, with the assumptions visible, so approval does not depend on a slide deck.
How we implement
Fixed deliverables, agreed durations and a decision point at the end of every step.
1 to 2 weeks
Interviews, system walkthroughs and a data readiness check. We spend the time with the people doing the work, not only with leadership.
Deliverables
2 weeks
Each candidate is sized on cost, effort and return, then tested against your risk appetite and the capacity you actually have.
Deliverables
1 week
The shortlist becomes a sequence with owners, budgets, dependencies and the checkpoints where you decide to continue or stop.
Deliverables
Related
Next step
A 30 minute call on ai strategy & roadmap, what it would take in your business, and whether it is worth doing at all.