The WHPS answer file for governance, ownership, and delivery control.

The maturity standard is simple: no verbal-only answer. If a reviewer asks how WHPS does something, the response points to a controlled artifact, a procedure, an accountable role, a diagram, and current evidence.

This section gives reviewers a precise vocabulary so the AI SDLC Factory does not get confused with a portal product, and the migration program does not get confused with a shared platform service.

These bodies should be treated as the target governance structure until formal WHPS approval confirms they are operating. The names align to the source governance framework and the release controls already in the AI SDLC page.

Policies define expectations, procedures make them executable, diagrams make them explainable, and evidence packets prove they operated. This keeps the framework independent of any single model, platform, or tool.

This gives leadership a defensible view of current operating controls, target controls, and the evidence required to move from one maturity level to the next.

Each artifact has a reason to exist, a named owner pattern, and a clear release implication. The evidence hub presents the full control catalog instead of forcing leaders to invent answers live.

Each procedure is designed to be tool-agnostic. The procedure defines required inputs, steps, approvals, outputs, and evidence. Any approved tool must conform to the procedure, not the other way around.

R = Responsible, A = Accountable, C = Consulted, I = Informed. Each row has exactly one accountable owner so the program does not diffuse responsibility when pressure arrives.

The site should never rely on one giant picture for every audience. These diagram views are the standard meeting answers, with a defined audience and the evidence each diagram must connect to.

The new security and compliance source material is captured here as an evidence-ready artifact map. It keeps the Contact Center AI story tool-agnostic: the enforced controls are architecture, policy, procedure, evidence, and approval gates.

The public process is the WHPS AI SDLC Factory. It is not a proprietary coding tool. Every delivery method must leave testable, reviewable, secure, and supportable artifacts.

This registry avoids vendor lock-in language. WHPS approves categories, controls, and adapter patterns; the model gateway selects the best fit under policy, cost, security, and performance constraints.

This gives procurement, architecture, finance, and security a consistent way to ask hard questions without turning every tool choice into a new philosophical debate.

The monthly packet is the management control artifact. It compresses delivery status, risk, approvals, incidents, cost, and release evidence into a format that can survive audit sampling.

This prevents the evidence hub from becoming a static deck. Reviewers can see which artifacts are controlled, how they are updated, and when stale evidence must be refreshed.

The EDE path has its own evidence standards because CMS-facing enrollment, identity proofing, audit, and consumer data flows require more than normal portal UAT.

Every production release needs an operational owner, monitoring path, rollback procedure, escalation tree, and support acceptance record.

This is the live meeting index. It turns broad consultant questions into a concrete artifact path.

The program evidence distinguishes validated production facts from target-state assumptions. Current architecture labels these items as target patterns until confirmed.

These references establish the language for AI risk management, secure development, architecture decisions, EDE certification expectations, and LLM application security.