Accountable AI Infrastructure

Governance Runtime for Accountable AI

Enforce, record, and replay every AI-driven action. The governance layer between your AI system and production.

The Missing Layer

Your AI stack generates. It does not govern.

AI systems produce outputs. ActivePolicy Runtime governs what those outputs are permitted to do. Generation without governance is a liability.

The runtime sits at the execution boundary. Every AI-triggered action passes through enforcement, recording, and policy evaluation before it reaches production.

Model
Inference
Orchestration
Monitoring
Governance Runtime
ActivePolicy Runtime

Five enforcement primitives

01

Pre-Execution Enforcement

Every AI-triggered action is evaluated against applicable policy before execution. Non-compliant actions are refused with a structured policy citation.

02

Static Tool Registry

All tools, actions, and side-effects available to AI agents are declared in a static, versioned registry. Nothing executes outside the registered boundary.

03

Tamper-Evident Execution Ledger

Every action, evaluation, and refusal is written to an append-only ledger. Immutable once recorded. Suitable for regulatory review.

04

Deterministic Replay

Any recorded action sequence replays with identical inputs and produces identical outputs. Same policy, same data, same result.

05

Audit-Grade Artifact Export

Decision records, policy traces, and enforcement logs export in structured formats for compliance teams, regulators, and legal review.

Scope

Govern AI-triggered system changes

The runtime enforces and records every AI-triggered system change, including:

If an AI action changes state outside the model, it is governed and recorded.

Built For

Two paths to accountable AI

AI Platforms & SaaS Vendors

Add Accountable AI to every enterprise deal.

If your AI system performs real-world actions, you are already subject to governance review. Enterprise buyers require enforcement proof before they sign.

ActivePolicy Runtime attaches to your platform as a governance layer. Ship to healthcare, insurance, and government verticals without building enforcement infrastructure from scratch.

Eliminate the black-box objection before it reaches procurement.

Regulated Enterprises

Gain provable control over AI-driven actions.

Deploy AI systems with deterministic enforcement boundaries. Every action is governed, every decision is recorded, and every refusal is explainable.

Move AI from pilot to production with audit-grade accountability at every step.

Accountability

Remove the black box objection.

When an AI approves a high-value insurance claim:

  • Which policy rules applied
  • What data influenced the decision
  • What safeguards were enforced
  • Can the decision be replayed exactly

Without runtime governance, those answers are unclear.

With ActivePolicy Runtime, every action is enforced, recorded, and reproducible.

  • Action ambiguity — eliminated
  • Audit uncertainty — eliminated
  • Governance gaps — eliminated
Proof

Deterministic Governance in Action

Deterministic enforcement and structural accountability, demonstrated in production-grade regulatory domains.

Integration

Deploy in minutes

ActivePolicy Runtime attaches to your existing AI stack. No rewrite required.

Sidecar container
Static tool registry
JSON policy ingestion
Push artifacts to your storage
No model retraining
No new data platform

Governance without architectural disruption.

The Governance Runtime your AI stack is missing.

We work directly with AI platforms and regulated enterprises to deploy accountable AI infrastructure.

Request Runtime Brief