Avery Rulebook for ServiceNow AI Agents

Put executable enterprise policy inside agentic workflows.

ServiceNow AI Agents plan and execute work across IT, employee, customer and risk workflows. Rulebook adds a portable compliance decision layer when those workflows cross business rules, jurisdictions and systems of record.

The operating reality

ServiceNow brings agents, orchestration, workflow data and control capabilities together. Large enterprises still need a consistent way to apply authoritative policy that lives beyond one platform and to preserve the exact business reason behind each consequential step.

Keepthe product you chose
Addexecutable enterprise policy
Provewhy every action was allowed

The runtime compliance gate

Check the answer or action before it creates impact.

Rulebook evaluates live context against the confirmed policy and regulatory rules that apply, then returns a decision the agent must follow.

01Context

Actor, purpose, data, jurisdiction and proposed action

02Gate

Allow, deny, obligations or named human review

03Audit

Evidence, rulebook version and signed decision trace

Architecture boundary

Existing layer

ServiceNow AI Agents

Build and orchestrate teams of agents that use ServiceNow data, flows, scripts, skills and connected tools to complete work.

Official product page
Decision layer

Avery Rulebook

Resolve confirmed enterprise rules against incident, user, service, transaction and risk context before the workflow advances.

ServiceNow owns workflow orchestration, platform controls and operational records. Rulebook provides the cross-system business-policy decision and signed evidence.

Why the gap persists

Policies exist. Runtime compliance gates do not.

01

Agentic workflows can touch many policy owners and systems.

02

Natural-language roles do not replace authoritative rule precedence and effective dates.

03

Operational audit records and policy-decision evidence answer different questions.

Rulebook in the workflow

01

Trigger the workflow

A ServiceNow agent or orchestrator identifies the objective and assembles current platform context.

02

Resolve policy

A Flow action, integration or MCP call asks Rulebook whether the next step is allowed and what obligations apply.

03

Close the loop

ServiceNow completes or routes the work and stores the Rulebook receipt with the task or case.

Potential outcomes

Make compliance a gate in the work, not a report about the work.

  • Consistent policy across ServiceNow and third-party agents
  • Explicit review requirements inside autonomous workflows
  • Stronger evidence for IT, risk, security and compliance oversight

Questions leaders ask

Does Rulebook replace ServiceNow AI Control Tower?

No. Control Tower manages AI strategy, governance and operational oversight. Rulebook focuses on compiling enterprise knowledge into decisions each agentic workflow can enforce.

Can Rulebook use ServiceNow data?

Yes. The workflow can pass approved incident, CMDB, user, case and risk facts as structured decision inputs.

Executive briefing

Add an auditable compliance gate to ServiceNow AI Agents integration.

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

Request a briefing