Method

How we work

Four phases with a reviewable deliverable in each one. We publish no timelines or prices: they are agreed in writing according to scope.

Four phases

  1. Assessment

    We map the current process, the data available and the real constraints. The result is a documented decision about what should be automated and what should not.

    Deliverables

    • Map of the process and its data
    • List of risks and constraints
  2. Design

    We define the use case, the success metric and the system's autonomy limits. No agreed metric, no implementation.

    Deliverables

    • Use case and success metric
    • Autonomy and cost limits
  3. Implementation

    We build in increments, with automated evaluation from the first day and human review at the points the process requires.

    Deliverables

    • Evaluated working version
    • Quality report for the test set
  4. Operations

    We measure quality and cost in real use, review regressions and leave the contingency and rollback plan in writing.

    Deliverables

    • Dashboard of agreed metrics
    • Contingency and rollback plan

Working criteria

  • Measured or not published

    Every claim about quality rests on a defined test set.

  • Autonomy has limits

    Every automated action declares its scope, its cost and its rollback path.

  • Data is treated as an asset

    The data plan is agreed before implementation, not afterwards.

We start with the assessment

A first assessment clarifies what should be done and what should not.

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