Five roles, one platform
PM, Designer, Engineer, QA, DevOps. Same context, same tooling, same audit trail.
04/products/ai-sdlc · ProductVol. I · Issue 01 · Q3 2026
PLATFORM · P07
BUILT
AI-Assisted SDLC
AI-guided delivery across five roles, every artefact carrying an audit trail.
AI-Assisted SDLC brings AI into every stage of the software delivery lifecycle — product management, design, engineering, testing, deployment — while keeping the compliance trail regulated environments need. What was generated by AI is labelled. What was reviewed by a human is signed. Auditors get a clean view either way.
01 · The problem
What ai-assisted sdlc is for.
- AI-generated code shipped without provenance
- AI-generated docs that no one signed off
- Test coverage that looks great and misses the critical path
- Deployment gates that AI can bypass by accident
- Compliance functions blocking AI adoption for lack of a trail
- Five different tools for five roles with no shared context
02 · What is in it
The capability.
Provenance on everything
Every artefact labelled with what generated it, when, and against which prompt. Every human review signed and stored.
Guarded deployment
AI-generated code cannot ship without human sign-off at the gates you define. Configurable per risk tier.
Compliance-native
Full trail exportable in the formats internal audit, SOC 2 and regulator ask for.
03 · The distinctive mechanic
Compliance-by-construction.
Most AI-assisted development tools bolt compliance on afterward — usually via a scanner that catches problems after they ship. AI-Assisted SDLC bakes it in. Provenance is the artefact. The trail is the workflow. Compliance stops being a phase and starts being a property.
04 · Who it is for
Engineering functions inside regulated organisations. Compliance functions who now have to say yes or no to AI-assisted delivery and want a defensible position. CIOs measuring output per engineer without measuring output per hour of review.
Run ai-assisted sdlc in your business.