Constitutional AI Governance Software That Enforces Before It Audits
Mentis Governance compiles 110 constitutional laws directly into your AI systems. Every action is gated before it executes. Every decision is cryptographically signed. Regulators get evidence, not promises.
Ungoverned AI Fails Differently Than Ungoverned Software
AI systems produce confident output regardless of accuracy. Without runtime enforcement, every gap between policy and behavior is invisible until it becomes a regulator finding, a production incident, or a failed audit.
AI agents claim done when they are not
95% of enterprise AI pilots fail due to execution discipline gaps (MIT 2025, 300 deployments). Agents declare completion with no backend implementation, schema changes with no migrations, and security patterns that pass review but fail in production.
No audit trail regulators will accept
Log files can be deleted or edited. Policy documents are advisory. EU AI Act, ISO 42001, and SOC 2 require evidence: cryptographically verifiable, tamper-evident, timestamped proof that governance was active at every AI decision.
Quality drifts as the codebase grows
Each AI session starts blank. No memory of what broke before, what architectural decisions were made, or what patterns are banned. Codebase quality drifts toward unmaintainability; a pattern known as the convergence cliff.
Only 30% of AI initiatives operationalize
Deloitte 2026: 71% of organizations use or pilot AI. Only 30% operationalize. The gap is not model capability; it is execution governance. AI without accountability loops fails at scale.
Governance That Runs Inside Your AI System
Mentis Governance is not a dashboard or a policy checklist. It is constitutional infrastructure compiled into AI architecture and enforced on every action, in every session, across every surface.
Pre-Action Gate
Every file write, schema change, deployment, and tool call is checked against 110 constitutional laws before it executes. Fail-closed: silence is not approval. G0 gate class requires named human approval. An AI agent cannot self-promote its own gate class.
Ed25519 Evidence Ledger
Every governance decision, gate resolution, and session event is recorded in an append-only WORM file with Ed25519 digital signatures and SHA-256 hash chaining. Merkle STH proofs (RFC 6962) allow third-party verification. The audit sidecar process owns all ledger writes exclusively.
8-Layer Neural Runtime
The governance engine runs as an 8-layer cognitively-inspired control plane: Executive Control, Attention/Routing, Memory, Action Gating, Continuous Verification, Risk Detection, Reflection/Learning, and Governance Immune. Each layer operates independently with no circular delegation of authority.
Cross-Session Learning
ALEA (Active Learning Execution Architecture) captures failure patterns across sessions, stores them in the failure pattern registry, and injects them at every new session start. What broke before cannot break again. The system grows stronger with every session.
Five Phases. Every Session. No Exceptions.
Every governed AI session follows the same constitutional sequence: intent classified, session opened, every action gated, every outcome recorded, session closed with a quality score.
Intent Route
The user sends a task. The governance engine classifies intent, assigns a task code (TK-FA, TK-BF, TK-AU, etc.), loads the correct specialist superprompt, and sets the autonomy ceiling. No work begins until intent is classified.
Session Start
A governed session opens. Episodic memory is loaded (prior decisions, failure patterns, architectural truths). The current risk register is surfaced. A token budget is set. The agent cannot exceed declared scope without re-declaration.
Pre-Action Gate
Before every file write, API call, schema change, or deployment: the Pre-Action Gate checks 110 constitutional laws. Violations are blocked. The agent records the gate outcome. A blocked action cannot be retried silently.
Evidence Chain
Every approved action appends an Ed25519-signed entry to the evidence ledger. Hash chaining links every entry to the prior one; tampering with any record breaks the chain. Regulators can verify the entire session history with a single root hash.
Session Close and Score
At session end: a quality score (SQS) is computed from gate outcomes, scope adherence, and evidence completeness. The session is written to episodic memory. Failure patterns are promoted to the ALEA registry. The next session inherits this knowledge.
Mapped to Every Major AI Regulation by Architecture
Compliance is not retrofitted. Every constitutional law cites the regulatory requirement it satisfies. Your audit package is built into the framework from day one.
AI management system: policy, risk register, management review, training records, and nonconformity log. Every law cites its ISO clause.
Annex VI self-assessment, Declaration of Conformity template, risk classifier for downstream operators. Enforcement deadline: August 2, 2026.
Processing Integrity Policy, Business Continuity Plan, Incident Response Plan. Autonomous CI agents verify controls daily at 04:00 UTC.
PHI scenario mapping, BAA guidance, and access control policies. BAA available on Sovereign tier. Physical safeguards deferred to operator.
ROPA template, Art. 22 automated decision-making mapping, high-risk EU AI Act intersection documented. 72-hour breach notification workflow included.
ICT third-party risk mapping for financial services. Incident classification, continuity requirements, ICT risk management framework.
62 of 72 subcategories covered (86%). MAP, MEASURE, MANAGE, and GOVERN functions documented with MU2 control mappings.
A-01 through A-10 mapped and covered: prompt injection, memory poisoning, tool misuse, privilege escalation, and output integrity.
Governance Precision: Regulatory compliance is an entity-level obligation, not a product feature. Mentis Governance provides the architecture, evidence infrastructure, and compliance module mapping required for ISO 42001, EU AI Act, SOC 2, HIPAA, DORA, and GDPR. Formal certification requires entity-level attestation and legal review. Every deployed law cites its regulatory basis.
Why Runtime Governance Beats Policy Documents
For Leaders Accountable for AI Risk
Mentis Governance is built for the people who are held accountable when AI systems fail: in front of a board, a regulator, or a customer.
CTO / VP Engineering
Pain point
AI output quality is unpredictable at scale
What they get
Governance compiled into architecture, not bolted on after. 110 laws enforced on every session.
VP Regulatory Affairs / Compliance
Pain point
No audit trail regulators will accept for AI decisions
What they get
Ed25519-signed, Merkle-chained evidence ledger. ISO 42001, EU AI Act, SOC 2, HIPAA, GDPR ready.
CISO
Pain point
AI agents silently crossing security boundaries
What they get
Agent passports with signed identity, taint propagation, and scope enforcement. OWASP Agentic AI Top 10 covered.
Platform / DevOps Lead
Pain point
AI deployments are unpredictable and hard to audit in CI/CD
What they get
GitHub Actions integration, Kubernetes/Helm chart, CLI harness, and air-gapped deployment mode.
AI-Native Founder
Pain point
Governance is too complex for a small team to implement from scratch
What they get
Full MU2 framework ships as a managed service. Onboarding included. Start governed in days, not quarters.
Common Questions
AI Governance Software: Common Questions
Book a Governance Assessment
We audit your current AI engineering workflow, identify where governance gaps create compliance and quality risk, and recommend the right tier for your organization. Governance assessment is included with onboarding.