AI for complex business workflows.

From use case to a working system.

1. 01 / Define the opportunity

   Understand the work

   Map the workflow, the data and the decisions. Define a useful first release.

   • Map the people, systems and decisions in one workflow.
   • Identify repeated work, handoff friction and common exceptions.
   • Confirm who owns the process and what should improve.
   Stage output

   Workflow map and a prioritized use-case brief.

2. 02 / Check data readiness

   Prepare the data

   Confirm which data is usable, who can access it and what needs preparation.

   • Inspect representative samples for quality, structure and gaps.
   • Confirm usage rights, privacy constraints and access owners.
   • Map the sources and dependencies needed for the pilot.
   Stage output

   Data readiness notes and an agreed access plan.

3. 03 / Set the pilot scope

   Agree on the pilot

   Define a bounded first release with clear responsibilities, acceptance criteria and operating limits.

   • Choose priority tasks and the initial users.
   • Define what is included, excluded and dependent on approval.
   • Agree on evaluation inputs, constraints and decision checkpoints.
   Stage output

   Pilot scope, acceptance criteria and delivery checkpoints.

4. 04 / Build the prototype

   Make it tangible

   Build a focused prototype and evaluate it against real tasks with your team.

   • Build the selected workflow with representative inputs.
   • Connect only the tools and capabilities agreed for the pilot.
   • Demonstrate the intended user journey and failure handling.
   Stage output

   A working prototype for the agreed pilot scope.

5. 05 / Assess the evidence

   Evaluate real tasks

   Test the prototype against expected outcomes and inspect its practical operating limits.

   • Run representative cases against the agreed baseline.
   • Review incorrect outputs, missing context and system errors.
   • Record quality findings, latency and running costs.
   Stage output

   Evaluation findings and a recommendation on the next step.

6. 06 / Design human review

   Set the review points

   Decide where people approve actions, resolve exceptions and remain accountable for outcomes.

   • Identify actions that require approval before execution.
   • Test escalation and exception handling with the process owner.
   • Agree on decision records and review responsibilities.
   Stage output

   Approval flow, exception handling and review responsibilities.

7. 07 / Connect the systems

   Connect and evolve

   Integrate into your systems, plan the rollout and measure what needs to improve.

   • Connect the approved interfaces and data flows.
   • Implement scoped permissions, logging and error handling.
   • Test the solution across the agreed system boundaries.
   Stage output

   Integrated workflow with documented interfaces and controls.

8. 08 / Control the rollout

   Release in stages

   Introduce the solution to agreed users with monitoring, fallback procedures and clear change controls.

   • Plan a limited release in the agreed environment.
   • Monitor usage, issues and the agreed operating indicators.
   • Define rollback procedures and who approves further changes.
   Stage output

   Staged release plan with monitoring and rollback procedures.

9. 09 / Hand over operations

   Equip the team

   Document the operation, prepare the owners and agree on responsibility for ongoing changes.

   • Document workflows, controls and operating procedures.
   • Walk through support and review tasks with the owners.
   • Agree on maintenance, support and change responsibilities.
   Stage output

   Operating guide, team handover and support responsibilities.