Operational AI Governance That Actually Enforces
Move from governance documentation to governance enforcement. Prefactor continuously assesses every agent against your policies and acts when they fall outside acceptable bounds.
The Challenge: Governance That Exists on Paper Only
AI governance teams face a widening gap between policy and enforcement:
📄 Policies Without Enforcement
Your organisation has AI governance policies, frameworks, and principles. But nothing enforces them at runtime. Agents operate in production with no continuous assessment against the standards you've defined.
🕳 Visibility Gaps
You can't answer basic governance questions: which agents are deployed, what are they doing, are they operating within scope, and who approved them? Without an operational governance layer, oversight is reactive.
⏱ Audit Trail Gaps
When regulators or internal audit ask for evidence of governance controls, you have policy documents but not operational records. No immutable trail of what agents did, what was assessed, and what decisions were made.
How Prefactor Enables Operational Governance
Prefactor turns governance policies into enforceable runtime controls:
🎯 Continuous Policy Enforcement
Define governance rules once. Prefactor enforces them on every agent, every run, automatically. Scope boundaries, quality thresholds, cost limits, and approval requirements execute as runtime controls — not periodic reviews.
📊 Real-Time Assessment
Every agent run is assessed against outcome quality, cost efficiency, and scope adherence. Risk scores are generated continuously, not quarterly. You see governance posture in real time.
🔄 Configurable Approval Workflows
When agents cross governance thresholds, Prefactor routes decisions to the right people — agent owners, governance leads, compliance, or security. Configurable chains that match your organisational structure.
📋 Immutable Audit Trail
Every agent action, assessment, and governance decision is recorded in a tamper-proof log. Exportable for regulatory review, internal audit, and compliance evidence.
🗂 Agent Registry
Central inventory of every agent across the organisation. Track ownership, deployment status, governance classification, and lifecycle state. No more shadow agents operating outside governance frameworks.
📈 Governance Reporting
Dashboards showing governance compliance rates, risk score trends, approval volumes, and policy violation patterns. Evidence that governance is operational, not just documented.
Regulatory Alignment
Prefactor supports alignment with the frameworks governance teams need to meet:
EU AI Act
Continuous risk assessment and operational governance controls support EU AI Act requirements for high-risk AI systems. Immutable audit trails provide evidence of ongoing compliance.
NIST AI RMF
Prefactor's Track → Assess → Act loop maps directly to NIST AI Risk Management Framework govern and manage functions. Continuous monitoring and risk scoring built in.
ISO 42001
Agent registry, lifecycle governance, and operational controls support ISO 42001 AI management system requirements. Governance evidence is generated automatically.
SOC 2 & Industry Standards
Immutable audit trails, access controls, and policy enforcement provide the operational evidence needed for SOC 2 audits and industry-specific compliance requirements.
Frequently Asked Questions
How is Prefactor different from governance documentation tools like Credo AI?
Credo AI produces governance documentation — model cards, bias reports, compliance artefacts. Prefactor enforces governance operationally — continuous assessment, inline blocking, and approval routing on every agent run. They're complementary: Credo documents that governance exists, Prefactor ensures it executes.
Can Prefactor enforce different governance policies for different risk levels?
Yes. Policies are configurable per agent, per team, or per risk classification. High-risk agents can require stricter quality thresholds, mandatory approval routing, and tighter scope controls, while lower-risk agents operate with lighter governance.
How does Prefactor generate audit evidence?
Every agent run produces an immutable record: what the agent did, how it was assessed (quality, cost, scope), what risk score was generated, and what governance action was taken. These records are tamper-proof and exportable for regulatory review.
Does Prefactor support our existing governance framework?
Prefactor is framework-agnostic and maps to EU AI Act, NIST AI RMF, ISO 42001, and SOC 2 requirements. The operational controls and audit trails adapt to your governance framework rather than imposing a new one.
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