Avery Rulebook for LangChain and LangGraph

Keep your agent graph. Add a policy decision node you can defend.

LangGraph provides durable orchestration, state and human-in-the-loop patterns. Rulebook supplies the governed enterprise decision that tells the graph whether to proceed, constrain or escalate.

The operating reality

A workflow graph can encode a review step, but it still needs a trusted source for when review is required and which policy version applies. Hard-coding those conditions across graphs creates drift.

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

LangChain / LangGraph

Build and run stateful agent workflows with durable execution and explicit control flow.

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Decision layer

Avery Rulebook

Centralize confirmed policy logic and evidence behind a stable decision interface.

LangGraph owns workflow state and orchestration. Rulebook owns published enterprise rules and their decision record.

Why the gap persists

Policies exist. Runtime compliance gates do not.

01

Policy logic becomes duplicated across nodes and agents.

02

Graph changes and policy approvals have different owners.

03

A workflow trace does not explain the authority behind a decision.

Rulebook in the workflow

01

Call

Add a Rulebook node before a response, tool call or state transition.

02

Branch

Use structured allow, deny, obligations and review output to select the path.

03

Record

Store the receipt with the graph run for end-to-end lineage.

Potential outcomes

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

  • Reusable policy across many graphs
  • Clear separation of workflow and governance ownership
  • Combined orchestration trace and policy evidence

Questions leaders ask

Can Rulebook replace conditional edges?

It can supply policy-driven conditions, but LangGraph remains responsible for workflow transitions and state.

How does human review work?

Rulebook states when and which authority is required. LangGraph can pause and route the workflow to collect that approval.

Executive briefing

Add an auditable compliance gate to LangChain / LangGraph 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