Skip to content

FDE Engagement Lifecycle

Build against reality, not requirements. Use every iteration to reduce uncertainty about the workflow, the technology, and the conditions for adoption.

BUILD → LEARN → REBUILD
Continuous evaluationProduction
Observe the actual work, including exceptions and workarounds.

How the model works

Understand

Observe the task, document exceptions, and identify the intended outcome. Gather representative examples and system constraints.

Prototype

Build a thin, testable slice. Prefer simple architectures until evidence justifies additional agents or orchestration.

Test with users

Watch representative users complete tasks. Capture corrections and failure patterns, not just opinions about a demonstration.

Integrate

Connect approved data and tools with scoped permissions. Treat authorization, validation, and recovery as product requirements.

Evaluate & iterate

Turn observed failures into regression tests. Review task success, latency, cost, and human effort before changing the design.

Production

Release progressively with monitoring, a rollback plan, and a named operating owner. Feed operational evidence back into the loop.

All field notes
Development

How Forward Deployed Engineering Changes AI Delivery

3 MIN READ
Development

From AI Use Case to Production

4 MIN READ