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. When the plan is approved, PRI Technology sources the people to build 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. PRI Technology already recruits artificial-intelligence, data-engineering and cloud professionals, so the plan we write is a plan we can also staff.
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.