SDLC operating model
The operating model defines stages, roles, artifacts, validation points and approval rules for AI-assisted delivery.
An operating model explains how work moves through the software lifecycle. In AI SDLC, the model includes stages, artifact types, roles, transformation rules, validation rules and approval points.
Core stages
| Stage | Main artifact | Human role |
|---|---|---|
| Analytics | Requirements, user stories, use cases | Analyst validates meaning |
| Architecture | Components, API contracts, diagrams | Architect checks decisions |
| Development | Technical specs and prompts for code tools | Developer reviews and integrates |
| Testing | Test cases and coverage model | Tester validates risk coverage |
| Documentation | User and technical documentation | Writer approves clarity |
The model is intentionally explicit. It helps LLMs produce stable results and helps humans understand what should be checked before moving forward.
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