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PolicyAI

PolicyAI is an OpenAI-compatible AI policy governance gateway. Apply policy-as-code rules, audit trails and canary releases to any LLM workflow—no code changes required.
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Features of PolicyAI

Drop-in OpenAI compatibility—swap endpoint and add policy_id.
Granular actions: Allow, Rewrite, Redact, Escalate, Refuse.
JSON/YAML policies = Git-driven policy-as-code.
Structured decision logs with reason codes for fast RCA.
Shadow, Canary, auto-rollback for safe policy updates.
Per-user, project, app, whitelist/blacklist rules.
No prompt/output stored by default; telemetry kept for billing & SLA.
Enterprise: export audit logs to Elastic, Datadog, S3.

Use Cases of PolicyAI

Add unified governance to existing OpenAI Chat Completions calls.
Auto-grade content: rewrite, mask, block or escalate.
Multi-tenant setups with project-level policies.
Compliance teams mine reason codes to refine rules.
Validate new policies in Shadow mode before global rollout.
Stream logs to Elastic/Datadog/S3 for search & archive.
High-volume traffic with streaming & 429 retry for zero-downtime ops.

FAQ about PolicyAI

QWhat is PolicyAI?

A governance layer that sits in front of any OpenAI-style API to enforce policy-as-code rules and full audit trails.

QHow do I plug it into my current OpenAI Chat Completions integration?

Change the base URL and add a policy_id header; optional user/project tags give fine-grained control.

QWhat policy actions are supported?

Allow, Rewrite, Redact, Escalate, Refuse—pick the right path per rule.

QDoes it provide audit and log export?

Yes—decision metadata and reason codes are logged; enterprise tier streams to Elastic, Datadog or S3.

QWhat data is stored?

Prompts/outputs are NOT stored by default; only tokens, timestamps and error codes for billing & reliability.

QCan I roll out policies gradually?

Shadow mode, Canary releases and auto-rollback let you ship rules safely.

QHow is it priced?

Per total input + output tokens; list price ~US $5 per million tokens—check the pricing page for live rates.

QWho should use PolicyAI?

Engineering, platform, risk and compliance teams that need instant, auditable AI governance without rewriting clients.