This week we launched Agentic Assurance. Here’s why, and what comes next

This week Klearcom launched Agentic Assurance. It runs on Klearcom's new AI native platform, and what it does is simple to say: it tests and monitors AI voice agents on real calls, from inside the markets your customers call from.

That sentence took a lot of work to earn. Here’s why we built it, and why now.

The year AI voice agents got real

Something shifted in 2026. AI voice agents moved off the pilot list and onto the rollout plan, and much of the push came straight from the boardroom. CX Today reported in June that 91% of customer service leaders are under pressure from their executives to implement AI. The conversations I was having with customers shifted with it.

Early in the year, a head of customer service at a global pharmaceutical company told me her board had approved AI voice agents for patient enquiries across a dozen countries. She was excited about it, but was also very clear that she was the one responsible for every word those agents said, in every one of those markets.

A few months later, a VP of contact center technology at a payments business put it even more simply. His AI provider had shown him great results. What he wanted to know was whether the agent worked for a customer ringing from Madrid on a mobile at nine o’clock on a Monday morning.

They were both right to be careful. A Sinch survey of more than 2,500 senior decision makers, covered by CX Dive, found that three quarters of large enterprises have already rolled back or shut down a customer facing AI agent after launch, and 16% put it down to being unable to work out what went wrong.

Those two conversations, and plenty more like them, kept coming back to the same thing. Our customers wanted help taking the risk out of their rollouts. So we built it. What was that Kevin Costner quote again from Field of Dreams? "Build it and they will come".

What customers get

An agent that passes every check inside its own platform is a bit like a car that passes every check at the factory. That's all well and good but it still has to get you home on the roads you actually drive, in the rain, with the kids in the back.

Agentic Assurance tests the agent on those roads, in three steps.

Trained before launch: Our AI personas put an agent through 100+ variables in 20+ languages before a real customer ever hears it: accents, interruptions, background noise, callers who change their mind halfway through a sentence, and callers trying to talk it into something it should never do.

Tested on every call: Every test call comes back with evidence of what the caller asked, what the agent said and what it actually did. When something breaks, your team sees exactly where, and can fix it fast.

Monitored live, around the clock: Once the agent is live, we keep calling it from inside 100+ countries over 340+ carriers. You see how it behaves for real customers on real networks today, and again after the next model update, knowledge base change or integration release.

Who it’s for

Three groups of people tend to sit around the table when a company rolls out AI voice agents, and we built this for all of them.

The leaders who own the outcome, who sign off the budget and answer for it when an agent gets something wrong in front of a customer or a regulator.

The teams running the evaluation, who need hard evidence to choose with and to stand over that choice afterwards.

The engineers testing every day, who would rather spend their time improving the agent than ringing it by hand in twenty languages.

The people who built it

I want to give credit where it’s due, because this launch belongs to a lot of people.

Our engineering team built an AI native platform from the ground up, and did it at a pace I’m genuinely proud of. Our product team took hundreds of customer conversations and turned them into something people can pick up and use. Our operations team makes calls from inside every market we serve, day and night, which is the foundation everything else stands on. And our client operations team works alongside every customer, knowing their journeys almost as well as they do.

The customers who join us in the coming months will show us things we haven’t thought of yet, and the product will be better for it. That’s how we’ve always built Klearcom, and I wouldn’t want it any other way.

How to get started

Bring us an AI voice agent you’ve deployed or are deploying, and the markets it serves. We’ll test it the way your customers reach it, from their countries, on their networks, and show you what we find.

The Agentic Assurance page has the detail, and the one pager is a good first read for anyone on your team.

What this means

Ultimately, every company rolling out AI voice agents wants the same thing: to move faster without putting customers, revenue or reputation at risk. For Klearcom, this launch is the biggest step we’ve taken since we made our first test call, and I’ve never been more confident that we’re the right company to help them get there.

If you want the full reasoning for why testing from inside your markets matters so much, I wrote about it in the fourth blind spot.