Consulting

Positioned around your problem, not a price list

Consulting engagements start from a business problem and work backwards to what artificial intelligence, data or a change in leadership practice can actually do about it.

How the work is structured

Every engagement moves along the same chain

The diagnosis is usually about finding which link is actually broken — which is rarely the one the organisation is talking about.

  1. 01 · Data What the organisation actually knows, and whether it can be trusted.
  2. 02 · Intelligence Turning that into something a person or a system can reason with.
  3. 03 · Decision The point where AI stops being a demonstration and becomes leadership.
  4. 04 · Action Changing what people and processes really do, not what they could do.
  5. 05 · Impact A measurable business result, held against the baseline it started from.

Areas

Where an engagement usually starts

AI Strategy

The challenge

You are being asked to have a position on AI, and the internal answers conflict.

The approach. Work through what AI is actually for in your organisation: which outcomes it is expected to move, which it is not, and what the honest sequence is.

A possible engagement. A prioritised portfolio with expected value, owners and a stop rule.

Business outcome

Fewer initiatives, each with a reason to exist.

Discuss this

AI Readiness

The challenge

You do not yet know whether the foundations will hold what you are about to build on them.

The approach. A structured read across strategy, leadership, data, technology, people, governance, process and adoption.

A possible engagement. A readiness diagnostic and the three things to fix first.

Business outcome

A defensible starting point instead of an argument.

Discuss this

Transformation Roadmaps

The challenge

There is momentum, but no agreed order of operations.

The approach. Sequencing the work so each stage makes the next one possible, rather than running everything at once.

A possible engagement. A phased roadmap with dependencies made explicit.

Business outcome

Change that compounds rather than collides.

Discuss this

AI Governance

The challenge

The EU AI Act and your own risk appetite need to become a process, not a memo.

The approach. Designing an approval route for AI use cases that covers risk, ethics and data without stopping the work.

A possible engagement. A governance framework, review process and decision record.

Business outcome

Scale you can defend to a regulator and a board.

Discuss this

Data Strategy

The challenge

Everyone agrees the data is a problem. Nobody agrees which part.

The approach. Identifying the specific data that blocks the decisions you want to improve — and leaving the rest alone.

A possible engagement. A targeted data plan tied to named decisions.

Business outcome

Effort spent where it changes an outcome.

Discuss this

Executive Workshops

The challenge

The leadership team needs to reach the same level, quickly.

The approach. Intensive sessions that build shared fluency and produce a real decision by the end.

A possible engagement. A leadership team that can argue the trade-offs.

Business outcome

Decisions made once, properly.

Discuss this

Leadership Transformation

The challenge

The strategy is fine. The organisation is not moving.

The approach. Working on how leaders decide, delegate and hold accountability during technological change.

A possible engagement. Leadership practice that matches the ambition.

Business outcome

Execution that survives the first obstacle.

Discuss this

AI Adoption

The challenge

Pilots exist. Production does not.

The approach. Closing the gap between what was demonstrated and what people rely on, including the parts that are about people rather than systems.

A possible engagement. One function moved end to end, as internal proof.

Business outcome

A route the rest of the organisation can follow.

Discuss this

Evidence

What the work has produced

Content required — case studies

Client results are published on the Impact page once the client has approved both the narrative and the numbers. Nothing is published on the basis of a claim that cannot be evidenced.

See how impact is documented

Next step

What could AI change inside your organisation?

Start with an honest read of where you actually are — or go straight to a conversation about what would make the biggest difference first.