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Multi-Agent Router

Routed,
Not Risked.

A policy-driven routing layer directs requests to the appropriate AI agent or model before any information is processed

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The Problem

AI guardrails can either allow or deny a request, but multi-agent routing focuses on determining where an approved request should go and which processing pipeline it should follow. As organizations integrate AI safety and governance frameworks into their products, part of an AI Product Manager's role is defining the product behavior, governance requirements, user experience, and business rules that determine how requests are routed. This project demonstrates how a policy-driven routing layer applies those governance principles by directing requests to the appropriate AI agent or model before any information is processed.

Two Attributes,
Three Lanes

A request arrives with an inferred intent and a sensitivity level. The model classifies the intent (what the user is trying to ask) and the sensitivity level (what sort of information they are allowed access to). The router reads two attributes off the incoming request and checks them against policy and credentials, after which the request is committed to one of three lanes:

  1. 1.) Secure Local Model: for legitimate requests carrying sensitive data. The request is allowed, but it's quarantined to an environment where the data never leaves the boundary.
  2. 2.) Standard Pipeline: for "ordinary requests" with no sensitivity concerns, so they flow to the standard processing path
  3. 3.) Refusal Agent: for policy-violating requests. Refusal Agents will present an explanatory message describing the refusal, and the information will be logged for auditing and citing purposes.

Procedure

  1. 1. Classify the incoming request's intent and data sensitivity.
  2. 2. Check that classification against the routing policy.
  3. 3. Branch to one of three destinations: Secure Local Model, Standard Pipeline, or Refusal Agent.
  4. 4. Log the routing decision and the policy rule that produced it.

Across 10 requests · 4 stages · 3 lanes

RT-1.1

the rule that decided

The Router Agent as a Compliance Gatekeeper. Particularly inspecting intent and credentials before handoff.

RT-1.1

Sensitive-Data Containment

RT-2.1

Standard Passage

RT-3.1

Credential Gate

RT-3.2

Prohibited Intent

RT-3.3

Egress Prevention

RT-3.4

Classification Confidence

Outcomes

A policy layer at the routing tier can enforce access control and compliance partitioning structurally. For this demo, intent classification and credential checks are simulated as policy logic in this build and successfully demonstrate how governance frameworks interweave with guardrail protections for traceability of agent model information processing.

Next Steps

  1. 1.) Integrate with an actual identity provider for credential checks
  2. 2.) Expand intent classification beyond keyword/category matching
  3. 3.) Define what refusal messaging looks like for different violation types.
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