Step 04 — Future Work
What changes for people?
See which work is done with AI in each value stream, then decide what people do with the time it frees — and which capabilities they will need.
Work done with AI — and where the freed time goes
Client feature delivery
Done with AI
- Build the featureAI-led26.4 h → 10.6 h
- Test and fix bugsAI-led16 h → 6.4 h
- Deploy to live and monitor the releaseHuman + AI8 h → 5.6 h
- Review code and approve changesHuman + AI6.4 h → 4.5 h
~30 h a week freed
New focus areas
5 of 5
What more could people do in Client feature delivery with ~30 h a week?
Client problem discoveryFeature impact measurementPost-launch client supportReviewing AI-built codeSolution design and trade-offs
Skills to build
What people need to develop for the new focus areas and for working with AI — new skills or stronger versions of existing ones. For the team as a whole — focus on the 3–5 most essential.
8 skills — keep the 5 that matter most
Clarifying client needsClient communicationDirecting and checking AIMeasuring feature outcomesReviewing AI-generated codeRisk and impact assessmentRoot cause analysisSolution design judgement