AI Agent Testing
Release AI Agents with Confidence
Test and evaluate agent behavior across real-world scenarios. Zyrix validates goal alignment, reliability, safety and response accuracy, providing evidence-backed findings and a readiness score to support informed release decisions.
Identify hallucinations, infinite loops and unsafe behavior before they affect your users.
Current Challenges
AI Agent Testing Requires More Than Response Evaluation
Research from Langchain identifies quality as the leading barrier to putting AI agents into production. Yet many testing approaches evaluate responses in isolation, without establishing whether an agent behaves consistently with its stated goals, capabilities and boundaries.
Production Assurance Dimensions
Test Your AI Agents Across Multiple Production Assurance Dimensions
Run your agents through rigorous, multi-dimensional simulation loops. Ensure your custom features, API routing, and system boundaries perform flawlessly under real-world production stress.
Reliability & Consistency
Ensure predictable AI behaviour across repeated runs, model updates, and changing production conditions.
Security & Adversarial Testing
Protect AI agents against prompt injection, jailbreaks, malicious inputs, unauthorized actions, and data leakage.
Hallucination & Accuracy
Validate grounded, factual, and context-aware responses aligned with enterprise knowledge and business intent.
Agent-to-Agent Coordination
Verify seamless collaboration, context preservation, protocol compliance, and reliable execution across multi-agent workflows.
Business Workflow Validation
Confirm end-to-end business processes execute correctly across agents, tools, APIs, and enterprise systems.
Production Readiness
Generate an evidence-backed Production Readiness Score with a clear Go / No-Go recommendation for every release.
How it works
Achieve Total AI Agent Assurance in Five Steps
Go beyond the traditional way of testing your agents, run your autonomous agents through these five deliberate steps to transition it from an unpredictable sandbox experiment into a production-hardened enterprise asset.
Agentic Workflows
Unified AI Agent Testing for Flawless Execution
Whether you are deploying autonomous swarms, multi-turn chat assistants, or complex tool-calling workflows, our platform rigorously validates their pre-defined features against messy, real-world user behavior.
AI agent testing categories
ANY AI AGENTS
Validate autonomous AI agents across customer support, finance, HR, engineering, and domain-specific use cases with real-world scenarios, security, and reliability testing.
Explore AI Agent Testing
Production Readiness Dashboard
AI Agent Release Readiness, At a Glance
Know when your AI Agent is ready. Get a unified dashboard that provides functional scores of the AI Agent’s readiness, test execution, workflow coverage, and critical risks before every release.
Integrations
Works With Your Existing Agent Stack
ATC connects to agents wherever they are built, no rewrites, no proprietary framework lock-in.
- LangChain Chains, tools, and agent executors
- LangGraph Stateful, graph-based agent workflows
- CrewAI Role-based multi-agent crews
- AutoGen Conversational multi-agent orchestration
- OpenAI Agents SDK Agents, handoffs, and guardrails
- Google ADK Agent Development Kit pipelines
- Microsoft Agent Framework Enterprise agent orchestration
- Amazon Bedrock Agents Managed agents on AWS Bedrock
- Vertex AI Agent builds on Google Cloud
- Azure AI Foundry Azure-hosted agent services
- Agentforce Salesforce CRM-native agents
- Copilot Studio Low-code Microsoft copilots
- n8n Automation workflows with AI nodes
Case Studies
Results that Compound Across the Enterprise
Explore practical insights, customer stories, and expert guidance that help teams validate AI agents, improve quality, and scale reliable releases.
In its pursuit of continuous innovation and operational agility, a leading automotive giant set out…
August 6, 2025
In a world where financial accuracy and customer trust are non-negotiable, a leading commercial bank…
July 4, 2025
Faced with fragmented systems, increasing data volumes, and compliance pressures, a Fortune 500 retail chain…
May 8, 2025
AI Agent Testing
Frequently Asked Questions
Explore how ATC tests AI agents, multi-agent systems, MCP, production readiness, prompt injection, CI/CD, non-deterministic outputs, and EU AI Act compliance.
Close the Gap Between AI Innovation and Production Release Confidence
