Board advisory

AI Advisory for Boards and Leadership Teams

Technical AI advisory for boards and leadership teams: oversight, investment prioritisation, procurement decisions, governance exercises, and periodic advice.

Direct answer

Direct answer: Board advisory

A board approving an AI initiative needs three things it rarely gets from a vendor or an internal sponsor: a plain explanation of what the system will actually do, the evidence that should exist before money or authority is committed, and a named owner for each consequence. I work with boards and leadership teams in bounded sessions and short engagements that end in a written decision record, not a general briefing.

The question

“Our board must approve an AI initiative. Who can explain the technical choices and leave us with a clear decision and ownership structure?”

Who it is for

Chairs, non-executive and executive directors, CEOs, company secretaries, and leadership teams preparing an AI decision.

From proposal to a board decision record

From proposal to a board decision record Frame the decision: Budget, pilot, purchase, scale; Explain the system: Reads, decides, changes; Test the evidence: Shown, measured, claimed; Decision record: Owners, conditions, review 01 Frame the decision Budget, pilot, purchase, scale 02 Explain the system Reads, decides, changes 03 Test the evidence Shown, measured, claimed 04 Decision record Owners, conditions, review
Every board session ends in a written record, not a slide deck.

Choose the specific need

Where to start

What you leave with

A board decision session and a written decision record with owners, conditions, and a review date.

  • 01 A one-page explanation of the system, its authority, and its failure modes in board language
  • 02 Evidence the board should require before approval, and what is still missing
  • 03 An ownership map naming who is accountable for each consequence
  • 04 Approval conditions, stop conditions, and a date to revisit the decision

How it runs

Format, method, and preparation

Duration
A 90-minute to half-day session, with a preparation call and a written record afterwards
Delivery
In person in the UK or remote
Participants
The board or leadership team, plus the internal sponsor and technical owner
01

Frame the decision

Agree what is actually being approved: a budget, a pilot, a purchase, a change in authority, or a commitment to scale.

02

Explain the system

Walk through what the AI system reads, decides, and changes, in terms the whole board can challenge.

03

Test the evidence

Separate demonstrations, vendor claims, pilot results, and measured outcomes, and record what each does not prove.

04

Assign ownership and conditions

Name the accountable owner, the approval conditions, the stop conditions, and when the decision returns to the board.

Useful to have ready

  • →The proposal, business case, or vendor material under consideration
  • →Access to the internal sponsor and the person who would operate the system
  • →Agreement on which decision the session must support

Evidence

What this draws on

Delivery experience

Regulated banking AI at Aveni

Architected enterprise banking AI with conduct-risk workflows, evidence generation, human review, escalation, evaluation, versioning, and release controls. Part of the Aveni team in the first FCA Supercharged Sandbox cohort; the FCA lists Aveni as an accepted firm, which is not an FCA endorsement or certification.

Inspect the source ↗
Public reference system

CloseGate

A Python and MCP policy layer with action tiers, segregation of duties, materiality routing, mandatory approval for irreversible actions, and hash-chained replayable audit. No published independent certification or customer deployment.

Inspect the source ↗
Founder record

Six companies founded, 2008–2024

Kwippy, Jaja.tv, Octo.ai, ExpressMOJO, Boom, and Neul Labs, spanning social software, interactive media, ML and analytics, logistics, blockchain infrastructure, and applied AI. Advisory and investment records are not counted as founded companies.

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Scope and limits

What this is not

  • —This is technical decision support. It is not legal, regulatory, audit, or investment advice, and it does not replace the board’s own advisers.
  • —Advisory work does not create a directorship or any statutory board role.
  • —A session can identify missing evidence; it cannot certify that a system is safe, compliant, or will deliver its business case.

If the need is different

Common questions

Answers before you commission

What does an AI adviser to a board actually do?+

Translates the technical proposal into the decisions the board is being asked to make, tests the evidence behind it, and leaves a written record of owners, conditions, and review points. The board still makes the decision.

Can you brief non-executive directors who are not technical?+

Yes. Sessions start from the decision and the consequences, not from model architecture. Technical detail is introduced only where it changes what the board should ask or require.

Do you join boards?+

Periodic technical advisory roles are possible under a written advisory charter. That is different from a statutory directorship, which this work does not imply.

How is this different from a consultancy AI strategy?+

The output is a decision record for a specific proposal, with explicit evidence gaps and owners, rather than a broad strategy document or an implementation proposal.

Related

Next step

Describe the board decision

A short written brief is enough to establish fit. I reply personally, and say plainly when the work belongs elsewhere or is not worth commissioning.

Board or leadership decision: what to include

  • →Sponsor and role
  • →The decision to be made, and by when
  • →Who will be in the room
  • →What has been proposed or purchased so far
  • →Evidence already available (papers, vendor material, pilots)
  • →Preferred format, date, and location or remote
  • →Budget range or approval route
  • →Known conflicts or sensitivities