AI Governance & Continuous Assurance

Program snapshot

Plan of record dated October 6, 2026. The live ForgeComply360 repository remains authoritative for migrations, APIs, feature flags, and security behavior. This page records the program model and release criteria.

Core question

Can this AI system operate within the authority, controls, and boundaries established for it, and can Forge continuously prove that those conditions remain true?

Sprint shape

Days 1–5 establish feature completeness. Day 6 joins the existing Beta program. Day 7 is release certification, security regression, demo readiness, and final GO / NO-GO.

Repository

Bjay0727-jay/ForgeComply360

Feature flag

aiGovernance is off by default and is enabled deliberately for a Beta tenant.

Recorded main

6e29cbe8f360b296a00488e4628458cec7689832 at the October 6 snapshot.

Working authority. Do not treat this portal as a substitute for the repository. Rebaseline each day from current main.

Seven-day sprint

Each day has an implementation gate and a merge gate. The next day starts from clean current main, never from the previous feature branch.

Definition of done

Lifecycle and gates

Selective operating model: one reusable assurance pattern. AI Governance is its first explicit application.

Five continuous governance gates

• Registration. Identity, purpose, owner, and dependencies are known. Otherwise do not advance.
• Governance. The system is contextualized, classified, and bounded. Otherwise do not complete assurance.
• Assurance. Controls, evidence, and validations support operation. Otherwise do not present it as ready.
• Authorization. An authorized human has made the operational decision. Otherwise there is no operating authority.
• Continuous. Material facts since the authorization basis are reviewed. Otherwise reassess, revalidate, reauthorize, suspend, or retire.

Hard-gate principle. Hard governance gates override aggregate percentages and maturity scores. A failed human-oversight or prohibited-autonomy condition cannot be offset by other high indicators.

Product and runtime boundaries

Control Envelope

The envelope can only maintain or lower authority. It cannot increase autonomy, add tool scopes, activate capability packs, bypass MCP controls, or authorize operation. Enforcement is deny-only and off unless AI_CONTROL_ENVELOPE_ENFORCEMENT is enabled. Agent autonomy maximum remains 2. Level 5 autonomy stays banned.

Envelope facets recorded on October 6: identity verified in preflight; action/autonomy deny-only when the flag is on; termination partial by reference to existing switches; data, knowledge, model, tool, financial, human approval, time, and escalation still declared only.

Release acceptance and non-negotiables

All twelve categories must pass for a GO decision on Day 7.

• Functional lifecycle through supported UI and API.
• Human accountability, deterministic classification, hard gates, and versioned history.
• Real controls, risk, evidence, findings, POA&M, and validation.
• Human-only operating decision tied to a defined assurance basis.
• Material change can require revalidation, reauthorization, suspension, or retirement.
• Tenant, business-unit, RBAC, separation-of-duties, and autonomy protections.
• Auditable authoritative changes and denials.
• Beta customer completes the workflow without database edits.
• Required Beta reports, green platform regression, controlled migrations and flags, and a formal GO / NO-GO.

Golden scenario

BETA-AI-001, Enterprise / Healthcare AI Assistant, exercises the full Forge lifecycle without a real customer environment. Most validations pass. A tool-permission validation fails and becomes a real finding. Authorization is Authorized With Conditions or Limited Pilot. A later model or tool change triggers impact analysis and revalidation.

Security rule. No agent, model, or service actor can issue authoritative operational authorization. Trust Graph relationships are descriptive facts and never runtime permission.

CanaPoint AI Assurance runbook

Companion architecture and implementation runbook prepared October 6, 2026 for a native CanaPoint AI Assurance layer in the existing ForgeComply360 / CanaPoint application. It is a separate phase sequence from the seven-day governance sprint above. AI may analyze, recommend, draft, and explain. Authoritative state changes stay with deterministic CanaPoint services and authorized humans.

Four capabilities

• Compliance evidence analysis. Type, freshness, control relevance, support level, gaps, and follow-up.
• Control assessment assistance. Advisory determination with reasons and citations for assessor review.
• Report generation. Deterministic metrics remain the facts. AI drafts narrative only.
• Risk analysis. Scores stay deterministic. AI explains contributors and suggests treatment.

Boundaries that do not move

• AI does not finally mark a control implemented or effective outside the authorized workflow.
• AI does not accept risk, close POA&M items, or issue an authorization.
• AI does not bypass RBAC, organization scope, system assignment, or dataset permissions.
• Retrieval happens only after authorization filtering. Retrieved text is untrusted.
• Report metrics are never invented. Material inferences get a provenance record.

AI-ASSURE phases

Federal path. Keep a provider abstraction for a later GovCloud runtime. Do not provision that path as part of this portal or as unpaid preparation. A federal profile must fail closed if a commercial AI endpoint is configured.

Commercial platform named in the runbook: Cloudflare Workers, D1, R2, KV, Workers AI, AI Gateway, and Vectorize. Resource creation stays inside the product repository’s phase gates. This portal does not create those resources.