Prove your AI agent does the right thing, on every call that matters
AI agents don’t fail in the lab. They fail under real customer pressure, on real networks, in real markets. Klearcom calls your agent the way your customers do, so you find the failure first.
Book a demo See Agentic AssuranceWhere AI agents break, and how you’ll know first
01 Going live
It passed every test in the lab. Now it’s live in 12 markets.
What Klearcom does: calls your agent from inside each market, on local carriers, with real accents and background noise, before customers do.
Go live knowing it works everywhere, not just where it was built.
02 After every change
A model update goes in on Tuesday. By Wednesday, the refund policy is wrong.
What Klearcom does: scheduled test calls rerun your key scenarios after every model, prompt or knowledge base change, and flag drift.
Catch it before a customer, or a regulator, does.
03 Proving compliance
Your risk team wants evidence, market by market.
What Klearcom does: tests AI disclosure, caller authentication and data handling in every market, with a recorded result for each call.
Evidence your audit and risk teams can use, not a vendor’s word for it.
Your AI agent isn’t a flowchart. Don’t test it like one.
Classic IVR testing was built for exact prompts, exact timing and exact routing. An AI agent is a decision engine, so the same request can produce a different outcome on a different call.
Traditional testing assumes
✕ Linear flows and known paths
✕ Word-for-word, predictable answers
✕ Clean lab conditions
✕ A simple pass or fail
✕ A one-off check before launch
An AI agent is
✓ Non-linear and driven by context
✓ Different words on every call
✓ Shaped by accents, noise and network quality
✓ Capable of taking real actions in your systems
✓ Constantly changing with model and data updates
From your real use cases to evidence you can act on
Design scenarios
Real use cases, not scripts. A frustrated caller with a fraud concern, a regional accent and a weak mobile signal.
Run them globally
The same scenario across countries, carriers, accents and network conditions, repeatedly.
Score behavior
Beyond pass or fail: consistency across runs, outcome scoring and early detection of drift.
Report the risk
Clear results for CX, IT and leadership: escalation failures, unsafe actions, hallucinations and drift over time.
What we score on every call
The same things a good human agent would be judged on. Not just “did it answer?” but “did it behave correctly?”
Context retention
Remembers what the caller said, without re-asking and adding friction.
Escalation
Detects frustration and hands off to a human at the right moment.
Brand tone
Stays on-brand, regionally appropriate and professional under pressure.
End-to-end resolution
Resolves multi-step issues without stalling, looping or handing off too early.
Hallucination and consistency
Holds its answer when challenged, rephrased or pushed to contradict itself.
Manipulation resistance
Resists prompt injection, social engineering and attempts to bypass policy.
Real-world conditions, not lab conditions
A little jitter or an unfamiliar accent can change what your agent thinks it heard
Simulation alone can’t reproduce that. Klearcom tests from the outside in, the way your customers actually call.
Live global calls. Placed in country, from the public network.
Real carrier routing. Including real latency, codecs and packet loss.
Real accents and languages. Regional phrasing and switching language mid-call.
Real customer pressure. Frustration, noise and multi-step problems.
Human verification. Expert review of edge cases for regulatory confidence.
The calls your AI agent can’t afford to get wrong
Banking and financial services
A caller reports a lost card. The agent must verify identity, block the card and never disclose account details first.
Healthcare and life sciences
A patient mentions a side effect. The agent must capture it and hand over to a person safely.
Insurance
A claim from a distressed caller. The agent must give the correct policy answer and route vulnerable customers to the right team.
Telecommunications
An outage drives call volumes up in several languages at once. The agent must hold up at scale, on every carrier.
85% of customer service leaders planned to explore or pilot customer-facing conversational GenAI in 2025.1 80% of common customer service issues are predicted to be resolved autonomously by agentic AI by 2029.2
1 Gartner survey, December 2024. 2 Gartner prediction, March 2025.
Questions about proving your AI agent works
Our AI provider already tests the agent. Why test it again?+
Provider testing checks the agent inside its own platform. Klearcom calls it independently, from the countries your customers call from, across the carrier, contact center and AI layers together, and shows you which one failed.
How often should we test after go-live?+
After every model, prompt, knowledge base or integration change, and on a regular schedule in between. AI agents can change behavior without anyone touching them directly, so testing continues for as long as the agent is live.
Does it work with our AI platform?+
Yes. Klearcom calls your agent over the phone network, the same way your customers reach it, so it works with whichever AI and contact center platform sits behind the number.
What do we get at the end of a test?+
A scored result for every call, by market, carrier and language, with the evidence behind it: what the caller asked, what the agent said and what it did. It’s the record your board, auditors and regulators will ask for.
See how your AI agent performs before your customers do
30 minutes with a Klearcom specialist, built around your own use cases.
Book a demo