AI Decision Governance API

Govern AI Decisions Before They Execute

Prime Form Calculus is a governance API that evaluates AI actions against policy rules before execution, verifies authorization, and turns each governed decision into a signed, tamper-evident, and verifiable record.

AI System
Prime Form Calculus
Governance Engine
Execution Allowed / Blocked
Signed Governance Receipt
Tamper-Evident Decision Chain
Verifiable Audit Record

Prime Form Calculus turns AI decisions into signed, tamper-evident, and verifiable governance records.

Signed governance receipts

Hosted allow decisions include signed governance receipts that downstream services can verify, and the SDK includes an optional enforcement wrapper for protected handlers.

Tamper-evident decision chains

Receipts link together in append-only order so teams can detect broken continuity instead of trusting ad hoc logs.

Version-locked decision replay

Stored runtime provenance makes historical decisions replayable against the evaluator version that originally produced them.

Signed and verifiable evidence

Teams can retrieve, verify, and review governed decisions as durable audit records rather than transient application output.

Built for secure AI governance

  • Signed governance receipts
  • Version-locked decision replay
  • Multi-tenant isolation
  • API-first architecture

PFC Integrations

Installable Python packages for execution-boundary integrations

PFC is the execution-boundary control plane. The ecosystem access layer now includes installable Python packages for teams looking for a PFC Python package, an execution-boundary Python package, or a practical LangChain governance adapter without replacing the hosted runtime.

Explore PFC integrations for developers to choose the official pfc-client SDK, install pfc-core, or use the live pfc-langchain adapter with clear package links and working snippets.

Enterprise-Grade Governance

Prime Form Calculus is designed to help organizations govern automated decisions in environments where policy enforcement, auditability, and operational control matter. Teams mapping the problem space can move from AI execution risk into execution control at the execution boundary.

The first step is recognizing that AI execution risk appears when outputs become actions in production.

Policy Enforcement

Every AI decision request is evaluated against defined governance policies before execution.

Signed and Verifiable Evidence

Each decision remains available as signed evidence in a tamper-evident decision chain, and allow decisions include a verification-ready governance receipt.

Fail-Closed Safety

If a request violates policy or authorization rules, the action is blocked before it can execute.

Tenant-Isolated Infrastructure

Each organization's policies, API keys, and governance records are securely isolated.

Start Governing AI Decisions

Start governing AI decisions.

Built for teams that need a clear control layer before AI systems act in production environments.