Practice area
Decide where AI earns its keep. Then govern what you fund.
AI strategy and adoption advisory decides which AI work a business should fund, in what order, and under what controls. We inventory what is already running, price it, stop what will not pay, and return a sequenced roadmap with named owners — a plan a board can approve and engineers can start on.
01 / 04Overview
How does AI Strategy & Adoption work?
Most organisations do not have an AI problem. They have a dozen pilots, three overlapping vendors, a cloud bill nobody has attributed and no single owner of the outcome. We begin by mapping what is already in flight: the sanctioned projects, the tools teams adopted on their own, the licences finance is quietly renewing. Each one gets a cost and an owner. Then we separate the work that moves a line on the P&L from the work that produces a demo. What comes back is a sequenced roadmap — fund, defer, stop — with the governance needed to keep the funded work inside your risk appetite, and the skills each item requires spelled out. That last part matters: a roadmap you cannot hire against is a wish list, so the plan the board approves states what each item will take to resource before anyone commits to it.
02 / 04Deliverables
What do you get?
- 01
AI spend and usage inventory
Every model, licence, vendor and pilot currently running, with a cost and an accountable owner attached to each. For most clients this is the first time the whole picture exists on one page.
- 02
Use-case triage
Each candidate use case scored on value, data readiness and risk, then sorted into fund, defer or stop — with the reasoning written out, so the decision survives challenge from the people it disappoints.
- 03
Governance baseline
An acceptable-use position, a review path for new use cases, and the data-handling and disclosure rules your customers, auditors and regulators will eventually ask you to produce.
- 04
Build, buy or staff recommendation
For each funded item: what to buy off the shelf, what to build, and exactly which roles you need on the team to build it — sized against what those people cost and how long they take to hire.
Why us, specifically
Advisory firms hand over the roadmap and leave. Ours prices and sequences the skills each funded item requires, so the plan the board approves is a plan the business can actually resource.
03 / 04Fit
Is this the right engagement for you?
Who buys this
- Boards and CEOs who have been asked for an AI position and do not have one
- CIOs and CTOs carrying the delivery risk for someone else’s announcement
- CFOs who can see the spend accumulating but not the return
Call us when
- The board wants a credible AI answer at the next meeting.
- Pilots have been running for months and none has reached production.
- AI and cloud spend is climbing and nobody can attribute it.
- Teams have adopted tools you did not approve and cannot see.
- A vendor has proposed a platform and you have no independent read on it.
04 / 04FAQ
Questions we get asked
Start with a conversation, not a proposal.
Tell us what you are dealing with. If it is work we should do, we will tell you what a bounded assessment of it looks like. If it is not, we will tell you that too.