What I do

The work is connecting an AI investment to the outcome the board is measuring.

Three engagement shapes. Three commercial models. One outcome: the connection between AI investment and expected outcome remains visible and unbroken.

What you're engaging to close

Who this is for.

These engagements exist for the executive accountable for that gap. If that is not the problem you are facing, the routes on the Engage page are a better fit.

Typical triggers

  • An AI investment case going to board before the organisation knows what the previous one actually delivered

  • An AI initiative in flight where the outcome line has broken and no one owns re-establishing it

  • An AI portfolio growing in scale and complexity with no single accountable owner across the domains each initiative depends on

  • Multiple AI initiatives running to their own success metrics with no line connecting any of them to a P&L number the board recognises

  • Delivery progressing on plan while the operating model, change, and financial workstreams run on separate tracks with nothing connecting them to the funded outcome

  • A CFO or board asking why AI spend keeps rising while the business impact on the P&L stays flat

35%

CEOs surveyed tie their performance reviews to AI ROI.

20% of board members estimate it at 27%

BCG, 2026

40%

of companies measuring AI cost savings landed below 10%.

against an 11–20% target

Bain, 2026

86%

of C-suite leaders plan to increase AI investment in 2026.

Only 32% report sustained, enterprise-wide AI impact

Accenture, 2026

What I deliver

Thirteen artefacts. One thread. Two run across every stage.

Design artefacts feed the value architecture map. Orchestration runs against it. Board governance report reports throughout. The inheritance package stays with the client at close. Select any artefact to read its purpose.

BGR

Board governance report

Fixed cadence · every stage

Baseline set

Governance live

Adoption tracked

Handover evidenced

Value reconciled

VGA

Value Governance Architecture

Design artefacts · produced before the AI initiative runs

The bridging artefact

VGA→VO

AI Value Orchestration

Run artefacts · produced while the AI initiative runs

VO
GIP

Governance inheritance package

Stays with the client

Governance template

Reusable structure

Authority map

Decision rights, named

Weighting rationale

Why value was defined this way

Baseline learnings

What held. What didn't.

Bridge

Value architecture map

End-to-end from investment to outcome, with every domain, interface, gatekeeper, and custodian named. One accountability line visible. Legible to those who did not build it.

Engagement shapes

Three ways to engage.

The shape follows the client's governance maturity, independent of the commercial model. A full mandate can deliver governance design only. A fractional mandate can deliver orchestration only.

01

Governance design only

Strong internal delivery, no accountability layer

The accountability structure is designed and handed over: decision rights, gate criteria, escalation paths, and the value architecture map. The client's internal team runs the AI initiative through it. The engagement closes at handover.

OutcomeA structure the board and auditors can read that works without the designer in the room.

BenefitSuits organisations with strong internal delivery that need the coordinated accountability layer, not an external function running it.

02

Design plus orchestration

Standing up an AI portfolio for the first time

The default shape. Governance architecture is designed first, then the AI initiative is run through it to steady state under full AI Value Orchestration: operating cadence, portfolio sequencing, gate decisions, financial and risk control.

OutcomeThe investment converts to a board-measurable result under a single accountable seat.

BenefitThe only shape where both the structure and the motion through it are owned in one place.

03

Orchestration only

Mature governance, needs experienced orchestration

The AI initiative is run through the client's existing governance structure, inside their gates, decision rights, and artefact set. No new architecture is designed.

OutcomeThe existing structure does its job with an accountable coordinating function running the AI initiative through it in real time.

BenefitSuits organisations mid-programme whose coordination has broken down but whose governance architecture is sound.

Governance maturity

Three ways to mature.

Every engagement names the current state at the outset and the target state at handover. Not a timeline. A destination, and evidence that the organisation can hold it.

→
→
01

Initial

Where most engagements start.

Ad hoc, project-based governance.

Decision rights sit informally with individuals. Delivery moves faster than governance. Each investment starts from zero.

02

Managed

Where most engagements target.

Defined, repeatable governance architecture.

Decision rights, gate criteria, and escalation paths are named and used. The value architecture map runs live. A repeatable structure the next engagement can inherit.

03

Integrated

Where the practice hands off.

Coordinated enterprise operating model.

Governance is not an overlay. It is how the enterprise runs its AI portfolio. Domains coordinate without case-by-case intervention. Board reporting is a by-product of operation, not a produced artefact.

What handover looks like. The engagement closes when the target state is reached and evidenced, not when a calendar runs out. The governance inheritance package is what the client carries forward.

Commercial models

Three ways to structure the contract.

Engagement models answer what is delivered. Maturity models answer where the organisation stands, and where it's going. These answer how it is engaged and paid.

01

Fractional

Named day-count per month · no fixed end date

Full accountability for the governance layer throughout, at a named day-count per month with no fixed end date.

OutcomeThe organisation builds internal capability alongside a live accountability structure rather than in its absence.

BenefitThe engagement builds toward its own exit rather than creating a permanent dependency.

02

Interim

Defined tenure · full time · named exit date

A defined tenure, full time, with a named exit date and a successor identified before the engagement begins.

OutcomeThe engagement closes when the operating model is mature enough to carry it, not when the calendar runs out.

BenefitThe transition is planned before the AI initiative starts, not negotiated at handover.

03

Full mandate

Complete conversion accountability · AI initiative duration

Complete accountability for the AI initiative's investment-to-outcome conversion for its duration: financial governance, benefits baseline, governance architecture, and cross-domain coordination. Delivery management runs underneath as a separate discipline.

OutcomeOne seat owns the full AI initiative from capital commitment to steady-state handover.

BenefitRemoves the gap between the person responsible for delivery and the person accountable for value, which is where most AI initiatives lose the conversion.

The engagement starts with a conversation.

If the mandate fits, a scoping note follows within three working days, then a proposal.

The intellectual foundation behind these service lines publishes via The Transformation Generalist.