Service

AI Audit & Strategy

Find out what is worth building before you spend anything building it.

The problem

Most companies do not have an AI problem. They have a prioritisation problem. Someone has a list of ideas, nobody can say which one pays back, and the loudest idea wins by default. That is how four out of five AI projects end up delivering nothing.

What the audit actually produces

The audit moves from the organisation to its processes, scores the opportunities those processes contain, and sorts each one into three outcomes: kill it, test it, or build it. Killing an opportunity is a valid and common result.

The highlighted outcome is the one no other firm puts on a diagram. Killing an opportunity in week three costs a fraction of discovering it in month nine.

What we actually do

  • Map how the work actually happens, not how the org chart says it does.
  • Cost the repetitive work: volume, time per unit, fully loaded hourly rate.
  • Score every opportunity on impact, feasibility, cost and risk, with the scoring published rather than asserted.
  • Check whether the data those opportunities depend on exists and is usable.
  • Produce a roadmap split into quick wins, medium term and structural projects, each with a cost range.
When this is the wrong answer. You already know exactly what to build, you have the data, and you just need engineers. In that case skip the audit and hire the build directly. We will tell you so on the first call.

Problems this solves

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