AI Agent Integration Testing: Start With Failure Isolation

The first integration test for multi-agent AI should prove that failures stay local and recover cleanly.

AI agent integration testing should start with failure isolation, not the happy path. A successful integration is not one that works in perfect conditions. It is one that fails without corrupting nearby workflow state or creating ambiguous recovery steps.

That is why isolation deserves more attention than convenience. The adapter should contain its own damage when dependencies, policies, or external services misbehave.

Isolation should be visible in

• Error boundaries.
• Retry rules.
• State rollback expectations.

What to verify before production

If the integration shares confusion across the workflow, the system has learned the wrong lesson from scale. Local failure, bounded retries, and visible rollback are the real readiness signals.

The right references are the integration guide, architecture guide, and security docs.