Decision Assurance Infrastructure
Summit Cognitive
§ Solutions — Verify Multi-Agent Systems

Test the agents. Verify the coordination.

A single agent fails visibly. A coordinated fleet fails structurally — two agents waiting on each other forever, or worse, issuing contradictory actions that each look correct in isolation. If you are fielding multi-agent systems where deadlock or conflict is unacceptable, testing alone cannot get you there: tests sample behavior, and coordination failures live in the states you didn't sample.

§ 01

Why coordination failures evade testing

The Decision Failure Atlas documents agents in a coordination workflow producing conflicting recommendations without detection — contradictory operational actions, each individually plausible. No individual agent malfunctioned. The protocol did.

Failure class 1

Deadlock

Agents holding resources while waiting on each other. Rare enough to pass every test run; certain enough to occur in the field, at the interleaving your test suite never exercised.
Failure class 2

Conflict

Two agents, two locally-valid decisions, one contradiction in the world. Without coordinator-level conflict detection, nobody notices until the consequences do.
Failure class 3

Contract drift

Agent B was built against Agent A's assumed behavior. A model update later, the assumption is false and nothing in the pipeline knows to check.
§ 02

Model-checked before fielded

Summit's verification engine checks the coordination protocol itself — exhaustively, over the state space, before deployment — and issues artifacts your safety case can carry.

Property

Deadlock freedom→

Model-checked over the protocol's state space, not sampled by tests. Either the coordination cannot deadlock, or you get the exact trace that breaks it — before it ships.
Property

Behavioral contracts→

Each agent's obligations and assumptions stated explicitly and checked at the boundary, so a model swap or prompt change that violates the contract fails loudly in verification, not quietly in production.
Artifact

Machine-checkable certificates→

Verification results are issued as certificates a third party can check without re-running the analysis — built for safety cases, accreditation reviews, and the assessor who trusts mathematics over vendor assertions.
Runtime

Receipted execution→

Verification covers the design; receipts cover the deployment. Every coordinated decision in the fielded system carries signed, replayable evidence that the verified protocol is the one actually running.
1,100+
verification-engine tests
Pre-deploy
exhaustive model checking
Certificate
machine-checkable, third-party verifiable
§ 03

From design review to safety case

Verification fits where your fielding decision actually gets made.

  1. 01
    Model the coordination
    Your agents' roles, resources, and hand-offs, expressed as a checkable protocol — typically during the design review you were already holding.
  2. 02
    Check the properties that matter
    Deadlock freedom and behavioral contracts verified over the state space; counterexample traces for anything that fails.
  3. 03
    Field with the certificate
    Verification certificates feed the safety case; runtime receipts prove the fielded system matches the verified design.

Prove the coordination can't deadlock — before the field proves it can.

Bring us the multi-agent design you're about to field. A scoped pilot models the coordination, checks the properties your safety case needs, and delivers the certificates in writing.

Start a PilotFormal Verification platform