The discovery process rebuilt for AI-Native delivery. This is where we define how the front-loaded stages of both lifecycles combine into one commercial unit — the thing we sell as discovery, backed by real signal instead of workshop artifacts.
Content is being authored. The stages involved are mapped below.
In the AI-Native SDLC, discovery is the Evidence Sprint — Stages 0 and 1 sold as one commercial unit.
| Stage | Name | Artifact |
|---|---|---|
| 0 | Intent Framing | raw intent.md |
| 1 | Evidence Gate | intent.md (cleared, synced) |
Full stage details on the AI-Native Strategy page.
In the ADLC, discovery spans Stages 0 through 3 — the additional stages cover agent-specific scope framing, architecture definition, and simulation.
| Stage | Name | Artifact |
|---|---|---|
| 0 | Preparation & Hypotheses | raw intent.md |
| 1 | Scope Framing & Problem Definition | refined intent.md |
| 2 | Agent Definition & Architecture | spec.md |
| 3 | Simulation & Proof of Value | intent.md (cleared) + ESOA + optional Vision Prototype |
Full stage details on the Agentic page.