The Cyara Agentic Platform
AI trust for agentic CX.
Your agents are speaking and acting on your behalf. Cyara helps you prove they are ready, validate the journeys around them, understand performance at scale, and see what happens in production.
Proof before launch. Vigilance in production.
One continuous assurance loop
From first test to every live conversation.
Agentic CX changes with every model update, channel handoff, and customer request. Cyara connects pre-launch evidence with production insight so teams can improve what happens next.
Learning Loop: Production insight becomes the next test.
Customer Channels
Operate findings inform the next Prove test. The relationship is conceptual; specific workflows depend on the capabilities in use.
01 / PROVE — Real-World Agent Readiness
Know what your agent will do before customers do.
A polished demo cannot show how an agent will respond to every customer need. Test realistic conversations, unexpected turns, and policy boundaries before release, then review the evidence behind each result.
What this helps you do
- Simulate customer goals, personas, and difficult edge cases.
- Check answers and actions against the standards you set.
- Give teams actionable evidence for a release decision.
Scenario review
Refund policy boundary
02 / VALIDATE — End-to-End Journeys
The handoff is part of the experience.
Customers move between agents, channels, systems, and people to complete a task. Validate that the journey works end to end, including what happens when an agent transfers context or a customer changes channels.
What this helps you do
- Test the complete customer task, not just one conversation.
- Find broken routing, missing context, and failed handoffs.
- Connect journey evidence to the teams that can fix it.
Customer task: update account details
03 / SCALE — Agentic Load
See what changes when demand rises.
Agents may behave well in a small test and struggle under real demand. Put the journey under pressure to understand where response time, completion, or experience begins to change.
What this helps you do
- Model realistic peaks and concurrent interactions.
- Examine both system performance and customer-facing outcomes.
- Identify thresholds to investigate before rollout.
Where the journey changes
04 / OPERATE — AI Trust Observability
Know what your agents are doing in the real world.
Once agents are live, quality and compliance need continued attention. See patterns across conversations, inspect the evidence behind a concerning interaction, and turn production findings into stronger tests.
What this helps you do
- Track quality and compliance as distinct signals.
- Investigate flagged conversations and the reason for concern.
- Prioritize what to test again as behavior changes.
“I’ve updated your account with the new details.”
From production back to proof
What you learn live should improve what you test next.
A new customer question, a changing policy, or an unexpected agent response can reveal a gap in pre-launch coverage. Cyara helps teams connect production evidence to the next test, release, and improvement cycle.
- 01Observe a pattern
- 02Investigate the evidence
- 03Add or refine a test
- 04Validate the change
Across the experience
Assurance across the experience you actually run.
An agent does not work alone. Cyara's capabilities help teams examine AI behavior alongside the voice and digital paths, contact center systems, business processes, and human handoffs that shape a customer's outcome.
Designed to work alongside your existing CX environment.
Cyara assurance
Conceptual coverage across the customer experience.
Explore the Cyara portfolio
Looking for a specific product?
Explore the Cyara solutions you know, from conversational AI testing and journey validation to load testing, voice assurance, and production monitoring.
Performance and voice assurance
Put your agents in front of customers with proof behind them.
See how Cyara can help you test agent behavior, validate the whole journey, and keep learning after launch.