Compile
Turn policies and regulatory obligations into evidence-linked proposals, then confirm what enters force.
Documentation
A public, product-focused guide to how Avery Rulebook compiles policies and regulatory obligations, gates live AI decisions and produces auditable evidence. Written for evaluators, architects, policy owners and operators.
Turn policies and regulatory obligations into evidence-linked proposals, then confirm what enters force.
Apply the lowest sufficient tier to determine which confirmed rules govern the live context.
Compliance-gate answers and actions with allow, deny, approval and obligation decisions.
Sign every governed decision and record each access for independent audit.
Start here
Read the system overview first. Then go deeper into the lifecycle, answer ladder, enforcement boundary and audit artifacts.
The public guide to compiling policies and regulatory obligations, compliance-gating AI decisions, enforcing outcomes and proving what happened.
How authoritative source material becomes a signed, immutable rulebook without allowing machine-extracted text to govern by itself.
Four declared reasoning tiers, a caller-controlled ceiling and one rule: climb only when the tier below cannot answer.
Put policy at the tool-call boundary so an agent checks enterprise authority before a consequential action executes.
Start from operational control narratives for 20 common frameworks, then adapt, confirm and publish only what applies to your organization.
Use one compliance decision surface across agent frameworks, enterprise assistants, guardrail layers and traditional applications.
Three trust artifacts answer different questions: what was decided, who accessed what, and whether the proof is intact.
Understand what Rulebook protects, what depends on topology, and where enterprise controls remain essential.
Executive briefing
Bring the governing source material, decision context and action boundary. We will map the Rulebook lifecycle with your compliance, security and AI teams.
Request a briefing