Six stages, each with a deliverable you can read

The order matters: constraints are settled before code, and quality is measured before rollout. Lengths are the usual range for one process with a cooperative data owner — the framing stage replaces them with a plan for your case.

  1. 01 · 1–2 weeks

    Framing

    One process, written down as it happens today: the volume, the exceptions, the people involved and the cost of a mistake. The stage ends with a decision on whether AI is the right tool at all — sometimes it is not.

    What this stage produces

    • A written scope with the process map
    • A first list of the data involved
    • A go / no-go recommendation

    What we need from you

    • The process owner
    • Two or three real examples, end to end
    • The list of systems involved
  2. 02 · 1–2 weeks

    Data and constraints

    Where the documents live, who may see what, what may leave the perimeter, which model providers are acceptable, what the auditors and the regulator will ask for.

    What this stage produces

    • A data inventory with classifications
    • A hosting recommendation
    • A data-flow description for review

    What we need from you

    • Access to a representative sample
    • The security or compliance contact
    • Any existing AI or data policy
  3. 03 · 3–6 weeks

    Pilot

    A narrow, real slice in production conditions: retrieval, prompting, an evaluation set from your own cases, and an interface inside the tool people already use.

    What this stage produces

    • A working slice on your data
    • Measured quality on your own cases
    • The first list of failure modes

    What we need from you

    • A named user group
    • A test environment
    • One person who can approve access
  4. 04 · 2–4 weeks

    Evaluation and hardening

    The failures found in the pilot become the regression suite. Permissions, logging, rate limits, refusal paths and hand-over to a person are tightened before anyone depends on it.

    What this stage produces

    • A regression suite that runs on every change
    • Permission and logging review
    • A written operations description

    What we need from you

    • Feedback from the user group
    • A security review slot
    • The hosting decision
  5. 05 · 2–6 weeks

    Rollout

    Wider release, training for the people using it, monitoring and alerting, and documentation for whoever runs it after us.

    What this stage produces

    • Rollout plan and training material
    • Monitoring and alerting
    • Runbooks for the operating team

    What we need from you

    • A rollout plan and dates
    • A support contact
    • Agreement on what is measured monthly
  6. 06 · ongoing

    Support

    A fixed monthly engagement: monitoring, re-evaluation after model or document changes, incident handling and small changes, with a named engineer.

    What this stage produces

    • Monthly quality report
    • Re-indexing and re-evaluation
    • Incident response

    What we need from you

    • The retainer decision