PolicyAI
Features of PolicyAI
Use Cases of PolicyAI
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.
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