AI strategy and adoption
Where AI earns its place in your business, where it doesn’t yet, and a realistic plan for adopting it — people and process included.
Solution 03 · Decide
Advisory for founders, executives, boards, and investors deciding what to do about AI and data — and how to do it without creating new risk along the way.
Ways to engage
Policies, ownership, and controls for how your company uses AI and data, written to hold up with customers, auditors, and regulators.
Senior technology leadership for architecture, hiring, vendors, and delivery, without a full-time executive hire.
An executive who owns your AI strategy end to end: what to adopt, what to build, how to govern it, and how to show it is working.
Value creation
Every engagement is measured against a baseline we take before we start, and reported in terms your shareholders care about. How we measure it.
AI and technology spend directed at opportunities with a business case, and away from the ones without.
Technology, data, and compliance that hold up under an investor's or acquirer's review, supporting the valuation instead of discounting it.
Expensive decisions — a platform, a vendor, a hire, a build — tested before they are made.
What we advise on
Where AI earns its place in your business, where it doesn’t yet, and a realistic plan for adopting it — people and process included.
How your data is collected, stored, and controlled, so it can be trusted by the people and the AI systems that rely on it.
What your obligations actually require, where you stand against them, and the shortest sound path to being ready for an audit.
An independent read on a company’s technology, data, and operations for investors, acquirers, and boards.
How an engagement runs
What has to be decided, by whom, and what a good outcome looks like.
From your systems, documents, and people, not just from interviews.
A clear position with the trade-offs written down, not a menu of options.
Stay involved through the first steps, or hand off to the team that will carry it.
Founders, executives, boards, and investors facing a decision about AI, data, security, or compliance that is expensive to get wrong — and who want an adviser who has built and run these systems, not just reviewed them.
Other solutions