The compliance layer for enterprise AI

Makeenterprise rulesAI executable.

Avery Rulebook compliance-gates every AI answer and action against your policies and applicable regulations. Each governed decision produces an auditable, evidence-backed trace tied to the exact rules that allowed, denied or escalated it.

Runs on-premises. Deploy in your data center, VPC or private cloud.

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Decision receipt RB-2048
Agent asks

Can this customer record be shared with the service partner?

Obligations required DecidedGDPR
What was decidedALLOW WITH OBLIGATIONS
Action
Share a customer record with an approved service partner
Caller
customer-support-agent
Context
EU customer · support delivery
Determinism
Same rulebook version and facts reproduce this answer
Pinned to
data-handling@7.4.3 · b3:315921b1…075626807
EvidenceThe exact wording this decision rests on
Data handling policy§ 7.4
Customer records may be shared only with an approved subprocessor for a documented support purpose.
Privacy control standard§ 3.2
Direct identifiers must be redacted before any third-party disclosure.

2 additional controls evaluated and retained in the receipt

How it got there
  1. 01

    Matched the requested action to data-sharing and privacy controls.

  2. 02

    Verified the support purpose and approved partner status.

  3. 03

    Applied the stricter EU customer-data requirements.

  4. 04

    Returned three enforceable obligations before execution.

Signed decision receiptsha256: 7e42a1…91bcVERIFIED
Works withYour existing AI stack
Full ecosystem
Built for organizations where AI-agent compliance, security and governance are mission-critical.

The missing compliance gate

Your agents can find information and take actions. But are they compliant with your policies and regulations?

Prompts and retrieval can guide an agent, but they cannot prove that the applicable policy and regulatory rules were checked before impact. Rulebook turns those obligations into a mandatory, auditable gate.

Explore the compliance layer

Compile obligations

Transform policies, contracts and regulatory controls into explicit, testable rules with evidence and effective dates.

Gate answers and actions

Return allow, deny, obligations or human review before an agent responds, recommends or invokes a tool.

Audit every decision

Issue a signed receipt that binds the outcome to its inputs, evidence and exact published rulebook version.

From obligation to enforcement

A compiler and compliance gate for enterprise AI.

Rulebook turns policy and regulatory obligations into governed production controls, not another prompt. Experts remain the authority. Agents get one mandatory interface to check before they act.

01

Ingest

Policies, regulations, contracts, spreadsheets, code and operational evidence.

02

Compile

Extract obligations, conditions, precedence, citations and unresolved gaps.

03

Confirm

Authorized reviewers inspect proposals, test edge cases and publish.

04

Gate

Agents check one versioned compliance service before every governed action.

Compliance, operationalized

Move from framework mapping to runtime policy.

Start with operational templates, adapt them to your controls, then confirm and publish under your own authority.

20starter templates included

EU AI Act, NIST AI RMF, GDPR, DORA, NIS2, ISO 27001, SOC 2, HIPAA, SOX ITGC and more.

Explore all templates

Why now

AI adoption is scaling faster than governance and measurable value.

69%

of surveyed leaders said comprehensive governance would take more than a year.

Deloitte
22%

said AI ROI had met or exceeded expectations in ISACA's 2026 survey.

ISACA

Executive briefing

Put a compliance gate before every consequential AI action.

Bring one consequential agent workflow. We will map the governing policies and regulations, runtime gate, human authority and auditable evidence path with your team.

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