Governance by Design

Not bolted on. Built in from the first line of code.

PRINCIPLES
1. Deterministic governance outranks model output
2. Human release authority remains mandatory — until doctrine transfer
3. AI outputs are advisory unless explicitly promoted under policy
4. Evidence-first execution — no proof = no completion
5. Policy-bounded autonomy — freedom within governed rules
GOVERNANCE TRAIL
20 Programs delivered FP-2026-01 through FP-2026-20
105+ Governance decisions DEC-001 through DEC-105
40+ Sprints completed Evidence-backed closeout
MUTATION AUTHORITY

Deny-by-default. Portfolio mutations fail unless the actor is explicitly authorized, the state is fresh, the evidence is present, and the policy allows it. Every mutation carries a rollback receipt.

6 Mutation Classes

priority_change

Adjust project or task priority within portfolio

capacity_realloc

Reallocate capacity between projects or sprints

risk_override

Override risk assessment with justification

schedule_shift

Move delivery milestones or sprint boundaries

scope_change

Expand or contract program scope

owner_transfer

Transfer ownership between actors

6 Deny Reasons

UNAUTHORIZED

Actor not in approved set

STALE_STATE

Underlying data has changed

FRESHNESS_MISMATCH

Source data too old

POLICY_BLOCKED

Policy rule prevents action

COHORT_MISMATCH

Target not in approved cohort

MISSING_EVIDENCE

Required evidence not provided

AUTONOMOUS RELEASE

Doctrine Transfer: Release authority moves from "factory proposes, human approves" to "factory releases by default, human intervenes by exception." The transfer is bounded by risk classes, proven through pilots, and always reversible.

4 Authority Domains

release — final release decision closeout — program closeout approval rollback — revert authority kill_switch — emergency shutdown

5 Human Override Actions

HALT — Emergency stop of autonomous releaseOVERRIDE_APPROVE — Human approves what factory deniedOVERRIDE_DENY — Human blocks what factory approvedTAKEOVER — Human assumes full release controlESCALATE — Route to higher authority for decision
EU AI ACT

100% EU AI Act Compliant

Art. 6

Risk Classification

Automatic model risk assessment. Four levels: critical, high, medium, low.

Art. 9

Model Registry

Every AI system registered with risk level, FRIA flags, and oversight requirements.

Art. 11

FRIA Generator

Fundamental Rights Impact Assessment auto-generated for high-risk models.

Art. 13

Transparency

Model cards, decision explainability, user notifications of AI-driven decisions.

Art. 14

Human Oversight

Kill switch, approval workflows, role-based access with full audit trail.

Art. 15

Drift Monitoring

Real-time performance drift detection with baseline tracking and alerts.

Governance you can audit

Every decision traceable. Every action evidence-backed.

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