- 10When are specifications not enough?
- 11Where is the state of the work kept?
- 12Who prepares a change before coding starts?
- 13What does impact analysis tell you, and when does it run?
- 14How do coding agents use the graph?
- 15How is each change checked, and how does the graph stay current?
- 16Who decides which work agents do?
- 17How do managers see what people and agents are doing?
- 18What happens across many products?
- 19What about existing systems and technical debt?
- 20What changes for the team?
- 21What results have teams seen?
Home / Follow the story / Scene 27: Engagement phases
Transcript
27. Engagement phases
A continuous SDLC engagement runs in four phases: Advise, Launch, Scale and Optimize. Advise takes two to four weeks, assesses how the team uses AI today and where it meets friction, and produces a scoped roadmap and a platform recommendation. Launch takes about twelve weeks, builds the four-layer graph for the highest-priority product, and puts the validation gate in place on every pull request. Scale extends the methodology across the portfolio over quarters to years, with agents gaining autonomy on routine, repeatable work. Optimize is continuous operation, with governance audits every quarter and regular clean-up of the graphs. In every phase, the client's four custodians own the four layers of the knowledge graph. During an engagement, Accion Labs customizes the platform, sets up the initial graph, and provides managed support in one of three tiers. For the end of an engagement, Accion Labs makes four commitments. The graph can be exported, the agents can be reproduced, the governance framework is documented, and the roles Accion Labs filled can be handed to the client's own staff.
On the site: The Four Phases · Advise · Launch
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The full video in six parts and an appendix, one part at a time.