How we work.

Four entry points, one connecting programme. Every engagement is partner-led, ends with an owner inside your organisation, and runs alongside the programmes and partners you already have.

Explore the programme
1–3 days / week

Fractional AI leadership

A CAIO, CDAO or lead architect for agentic AI — owning the agenda, the portfolio and the team until the role is filled inside.

4–6 weeks

Assessment

The diagnosis: your AI portfolio classified, the structural gaps named, and the order to close them in.

Fixed scope

A defined deliverable

A platform selection and RFP, an information audit, a context and knowledge model, an operating-model design.

Ongoing

Advisory & training

Board and executive sparring, keynotes, and AI literacy tracks for sponsors, leaders and builders.

Inform, Act, Run

Inform · productivity

People use AI. The system answers, summarises and drafts; a person does the work.

Act · capacity

Work is handed to an agentic worker: a bounded task, within guardrails, with a record.

Run · operating model

Human and agentic workers staff a process together, with people where their knowledge matters.

Act and Run stand on the same layers — and those layers are what most AI programmes have not built. Capacity is the first effect that can be read on a P&L line, which is why Act is where an AI programme starts to be measurable.

The programme

Assess, define, embed

Assess: 4 to 6 weeks

What we do
  • Map the AI portfolio against the horizon: which initiatives inform, which act, which could run.
  • Classify each initiative by what it is for — pilot, option, improvement or venture (after Kaganer and Loch, Harvard Business Review, 2026) — and by the economic effect it targets: productivity, capacity or operating model.
  • Test the initiatives that matter against one question: what would have to be true to hand this work to an AI agent?
What we deliver
  • The diagnosis: a small number of structural gaps, each with what it blocks and who must own it.
  • The portfolio reclassified, with what is ready to move and what is not.
  • The closing sequence — and any pending platform requirement written before a vendor is considered.
In practice

A materials group had run an AI programme for a year: pilots everywhere, no compounding value between them. Assess named two gaps — no architecture role for AI, and no shared context layer. Everything after followed from those two.

Typical triggers
  • We have run an AI programme for a year and the initiatives do not add up.
  • We need a view on agentic AI that does not come from a vendor.
  • Management wants a vision on AI beyond the hype and nobody inside owns it.
How we work

Three commitments

We build the organisation's capability.

Every element we build ends with an owner inside. Our measure of success is that you no longer need us for it.

We design for repetition.

The next AI agent reuses the architecture rather than rebuilding it.

We measure work handed over.

AI agents in production, with governance around them, count. Presentations delivered do not.

How we deliver

Boutique by design,
built to scale

You get senior people on the work from day one — and the reach of a deep specialist network when it's time to scale. The best of both: the focus of a boutique, the delivery power of a much larger firm.

Partner-led, always

Every engagement is led by a partner — not handed down to juniors. As a boutique, we stay personally involved from the first conversation to the final hand-off. You work directly with the people accountable for the outcome.

A trusted network for scale

When delivery needs to scale, we draw on a network built over decades in the industry. We bring in specialists we know and trust personally, matched to the exact expertise your project demands. The faces may grow with the work — the accountability always stays with us.

Let's talk about
where you are.

30 minutes. No pitch deck. No obligation. If the assessment would tell you to wait, we will say so in the call.