Fractional AI Leadership

Senior AI leadership, without a full-time hire.

Senior AI leadership for an agreed allocation of time, with defined responsibilities and priorities. You gain an experienced executive who takes ownership of your AI direction and works alongside your leadership team — engaged around your needs rather than a fixed role.

In short

Experienced AI leadership embedded in your organisation on an agreed part-time basis.

Discuss a fractional engagement

What fractional means

Executive accountability, proportionate to the work.

A fractional engagement gives you a named senior leader with a defined remit, present for an agreed share of time each week or month. The responsibilities are explicit, so your organisation knows who owns what.

Responsibilities typically include

Align executives around business priorities.
Identify and prioritise AI investments.
Own the roadmap and coordinate delivery.
Guide technology and partner decisions.
Establish governance, adoption and performance reviews.

Time commitment, scope and commercial terms are agreed individually, based on the priorities you want to address and the leadership capacity already in place.

When PGI can help

Situations where fractional leadership makes the difference.

AI initiatives lack clear executive ownership.

Activity is spread across functions with nobody accountable for direction, sequencing or results.

Teams have ideas but need investment priorities.

A long list of candidate use cases with no shared basis for deciding which to fund first.

Existing pilots need a credible route into operations.

Proofs of concept have shown promise but integration, ownership and controls are unresolved.

Business and technology teams need shared direction.

Each side has a view of what AI should do; the gap between them slows every decision.

Leadership needs help coordinating suppliers and delivery partners.

Several vendors and partners are involved, and someone senior needs to hold the whole picture.

Proposed initial engagement

How an engagement begins.

The first weeks establish a shared understanding and a working rhythm. The output is a roadmap you own, with clear responsibilities and measures.

01
Understand
Understand business goals and existing initiatives — what has been tried, what is in flight and what leadership expects.
02
Review
Review opportunities, constraints and delivery readiness across process, data, systems, skills and governance.
03
Agree
Agree priorities, responsibilities and success measures with the executive team and the people who will do the work.
04
Establish
Establish a practical roadmap and a review cadence so progress, risks and decisions are visible.

Ready to give your AI initiatives a clear owner?

Share the priorities you are weighing and the capacity you have in place. We will discuss whether a fractional engagement is the right fit and what it would cover.