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AI readiness & process discovery

Find out what is actually worth automating — before anyone builds anything.

A short, paid discovery that maps your operation and tells you honestly which work is worth giving to an agent, which is not, and in what order.

  • Workshops
  • Process mapping
  • Data & API audit
  • Written report

overview

What it is

The expensive mistake in this field is not picking the wrong framework — it is automating the wrong workflow. Work that looks repetitive is often held together by undocumented judgement, and work that looks complicated is sometimes a rules engine nobody wrote down.

This engagement exists to tell those apart before anyone writes code. We map what your people actually do, score each piece of work honestly, check whether your data and systems can support an agent at all, and hand you a written plan. It is deliberately short, deliberately paid, and its conclusion is sometimes that the answer is a script, a form, or nothing.

what's included

Capabilities

Work inventory

We sit with the people doing the work and map it as it is actually performed, including the exceptions that never made it into the process document.

Automatability scoring

Each workflow is scored on how bounded its inputs are, how clear its definition of done is, and how much undocumented judgement it carries.

Risk & consequence assessment

What happens when the agent gets it wrong, who notices, and how quickly — the question that decides whether a workflow needs an approval gate or should stay human.

Data & systems readiness

Whether the knowledge an agent would need actually exists in a reachable form, and whether your systems expose the APIs it would have to act through.

Sequenced plan

A recommended first workflow chosen for bounded risk and visible benefit, then what follows it and why — not a list of everything at once.

An honest written report

You keep the report whoever builds the work. Where the recommendation is 'do not automate this', it says so and explains why.

why it matters

Benefits

  • You start from evidence about your own operation rather than from a vendor's demo.
  • The first project is chosen for bounded risk, so an early failure is survivable and instructive.
  • Workflows that should stay human are identified before money is spent making them worse.
  • The report is yours — a useful artefact even if you build nothing, or build it with someone else.

in practice

Use cases

A team that knows it should 'do something with AI' and wants a defensible place to start.
Deciding between automating a workflow, rewriting the software behind it, or simply documenting it.
Preparing a board or budget case that needs honest effort, cost, and risk estimates.
A second opinion on an agent project that has stalled or over-promised.

how we work

The engagement

  1. Kickoff & scope

    We agree which part of the operation is in scope and who we need to speak to.

  2. Observation & mapping

    Sessions with the people doing the work, mapping it as performed rather than as documented.

  3. Scoring & readiness check

    Automatability, risk, and data/systems readiness assessed per workflow.

  4. Report & walkthrough

    A written report and a session walking your team through the sequence, the first workflow, and the honest exclusions.

get in touch

Let's talk

Have an operation you'd like an agent to run, or want to see how AI readiness & process discovery could fit your work? Tell us about it and we'll come back with a tailored plan.