HOW WE ENGINEER
AISDLC — the AI Software Delivery Lifecycle.
A governance and orchestration framework layered over the software delivery lifecycle. AISDLC routes each task to the right model, gates every change on evidence, and keeps people accountable for the decisions that matter — the operating discipline that makes AI-built software safe to run in production, not a product you buy.
One governed pipeline, end to end.
Every stage is orchestrated and recorded — models do the work, gates decide what advances, and people hold the controls.
Requirements
Turn business intent into an accountable contract.
Stakeholder goals become functional and non-functional requirements, acceptance criteria, and the constraints an enterprise actually operates under — data residency, regulatory scope, SLAs and integration boundaries. Each requirement is traceable end to end, so nothing downstream is built on an assumption no one owns.
- Discovery AgentSynthesises requirements from briefs, tickets, interviews and existing system docs.
- Acceptance-Criteria AgentExpresses each requirement as testable, measurable criteria.
- Non-Functional AgentCaptures performance, availability, security and compliance constraints up front.
- Traceability AgentMaintains the requirement-to-test traceability matrix across the lifecycle.
- Business sign-off on scope and acceptance criteria before design.
- Every requirement mapped to an owner, a control and a test.
What AISDLC governs.
Model Orchestration
Multiple models, one governed pipeline. Each task routed to the model that fits it — commercial, open-source or fine-tuned — so you're never locked to a single vendor.
Evaluation Gates
Correctness, latency, cost and regression scored as gates on every change. Nothing advances on vibes.
Governance & Traceability
Policy and approvals wired into the lifecycle, with a full record of who changed what, why, and under which control.
Guardrails & Safety
Outputs constrained to business context and policy; off-topic, unsafe and non-compliant responses caught before production.
Observability
Every path instrumented with telemetry and tracing, so behaviour in production is measured, not assumed.
Human Ownership
Agents handle the scale; people own the decisions that matter — and stay accountable for them.