Useful AI, governed

Put AI inside a controlled workflow—not beside it.

We select practical use cases, design prompts and agents around real work, then establish human approval, evaluation and monitoring.

Applied AI Live workflow

Human-governed agent console

A representative operating view. Labels reflect the decisions, handoffs and controls used in this capability.

  1. 01Intake
  2. 02Prompt version
  3. 03Agent run
  4. 04Human review
  5. 05Release
Request classifiedv3.2 approvedDraft preparedEvidence checkedReady
Data boundary setPolicy attachedRisk flaggedEdit requestedHeld
Owner assignedTest suite passedRationale loggedApproval capturedMonitored
Running: Intake · Human-owned workflow
When this helps

Operating situations

Methodology

A controlled route through the work.

Every stage produces an explicit decision, artefact or working change.

  1. 01Select the use case
  2. 02Map the workflow
  3. 03Design the agent
  4. 04Evaluate
  5. 05Embed and monitor
Deliverables

What the engagement leaves behind.

Deliverables are adapted to the decision and maturity of the organisation.

  1. 01Use-case portfolio
  2. 02Workflow and control map
  3. 03Prompt and agent specification
  4. 04Human-approval design
  5. 05Evaluation set and scorecard
  6. 06Monitoring and adoption rhythm
Human governance and risk

Controls cover data handling, prompt changes, model risk, human approval, evaluation and ongoing monitoring. Automation does not remove accountable human decision-making.

Engagement options

Focused diagnostic, design sprint or embedded implementation.

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Share the operating situation and intended outcome. We will respond with a useful first step.

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