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Methodology

A strategy-first method for putting AI into production.

The technology is one part of the outcome. We start from the business priority, redesign the workflow, define ownership and controls, then configure the agent and measure what changed.

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The chain

Six links. One operating chain.

It is only as good as the weakest link, which is why most AI work stalls at link two.

  1. 1

    A priority worth moving

    Choose work that matters because it serves a business priority, not because a tool makes it easy to automate.

  2. 2

    The workflow, redesigned

    Redesign the workflow end to end. Do not optimise one frustrating step and leave the surrounding work alone.

  3. 3

    Who does what, who approves

    Assign every part of the new workflow to a person, a person supported by an agent, or the agent. Ownership and approval in writing.

  4. 4

    The agent, inside guardrails

    Configure the agent for the redesigned workflow, with approved context, actions, controls, escalation and suspension procedures.

  5. 5

    Monitoring you can see

    Watch how the workflow runs in production, including the exceptions, the escalations and the agreed operational measure.

  6. 6

    A metric that moved

    Compare the selected business metric against the baseline established before implementation.

Four principles for choosing any AI-transformation approach.

Ours, and worth applying to anyone else you are considering.

  1. 1

    Cover a whole workflow, and one that matters.

    A local task improvement can be useful, but it is not the same as changing the workflow that produces the business outcome.

  2. 2

    Measure against a real before.

    A credible result needs a baseline. Establish the measure before implementation, then compare the same workflow after go-live.

  3. 3

    Start small and keep control.

    The first scope should be narrow enough to learn quickly, with ownership, approvals and escalation explicit.

  4. 4

    Keep useful outputs even if you stop.

    The production agent, the redesigned workflow and the prioritised next opportunities should stay useful past the engagement.

Automation does not remove ownership. It makes ownership explicit.

One workflow, eight steps, and who owns each one. The exact steps and approval points are defined per workflow before go-live.

  1. 01 People
    The business owner defines the priority and the scope.
  2. 02 AI agent
    The agent gathers approved context and prepares the work.
  3. 03 AI agent
    The agent drafts the outcome inside its guardrails.
  4. 04 People Approve
    A human approves before the action takes effect.
  5. 05 AI agent
    The agent executes the approved action and records it.
  6. 06 People Escalate
    An exception or low confidence is escalated to a person.
  7. 07 People Stop
    An out-of-scope condition stops or suspends the workflow.
  8. 08 People
    The owner reviews monitoring and the agreed measure.

Illustrative structure of lanes and control points. The exact steps, approval points and escalation rules are defined per workflow before go-live.

Human in the loop means specified actions or decisions require human review or approval, and that anything uncertain or out of scope escalates to a person rather than being completed autonomously.

We measure the workflow before the agent touches it, and we treat that as a gate.

The number gets captured before the agent runs, because nobody can reconstruct it afterwards. That single rule is the difference between a result you can take upstairs and a story you have to tell twice.

It is also what makes the second agent easier than the first: once one workflow has a measured before and after, the next opportunity gets prioritised on business value rather than on enthusiasm.

How the controls are designed → The software layer →

Methodology questions.

Why start from strategy if the first engagement is only one workflow?

Because which workflow we decide on together determines whether the result is worth anything. A workflow nobody cares about can be improved perfectly and change nothing.

Starting from strategy does not mean running a strategy programme. It means the workflow serves a priority you already have.

Why redesign the whole workflow instead of automating one task?

Because a fast tool inside an unchanged workflow just accelerates one fragment, and the bottleneck moves to the next handoff.

That is why tools and pilots produce activity and not results. The workflow is the unit that produces the business outcome.

Why establish the baseline before building?

Because nobody can reconstruct it afterwards, and an unmeasured improvement cannot be defended, funded or repeated.

We measure the workflow before the agent touches it, and we treat that as a gate.

Find where AI can create measurable value first.

Next day you get a one-page map of where an agent pays first, the metric we'd aim to move, and a fixed price and date.

45 minutes. You keep the map either way.

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No preparation required. No commitment.