What is the containment rate for an AI Call Agent?

Containment rate is the share of calls the AI Call Agent resolves completely on its own, with no need to bring in a human. For a well set-up Televanta deployment, most businesses reach a containment rate somewhere between 55 and 80 percent within the first 90 days.

The exact number depends on how complex a business's calls tend to be and how thoroughly the knowledge base has been built out.

This number tends to matter a lot to businesses evaluating whether the tool is working, since it's one of the clearest signs of whether the AI is actually carrying its share of the workload. Televanta's operator portal shows containment rate in real time, along with the most common reasons calls get escalated, so a team always has a clear picture of where things stand.

A useful way to think about containment rate is that it changes as a business improves its setup, rather than staying fixed from day one. A utility company is a good example.

For example, it starts at a 45 percent containment rate in its first week, which is on the lower end. After adding 30 more FAQ answers and building two new call flows specifically for billing questions, containment climbs to 72 percent by week eight.

Nothing about the underlying software changed. The knowledge base behind it simply got better stocked.

A telecoms provider takes a more structured approach to the same idea, running what amounts to a monthly review of containment data. Each month, the team adds answers to whatever the top ten unanswered questions were the month before.

The result is a steady climb of 5 to 8 percentage points every cycle, rather than a big jump followed by stagnation.

It's worth breaking down what actually drives a low containment score, since "the AI isn't smart enough" is rarely the real cause. Most of the time it comes down to gaps in the knowledge base, call flows that don't cover a common scenario, or escalation rules set too cautiously.

Televanta's unanswered questions report points directly at the gaps, so fixing containment tends to look like a checklist rather than a mystery.

Containment rate is also worth comparing across different call types rather than looking at only one overall number. A business might see 90 percent containment on simple FAQ calls but only 40 percent on billing disputes, and averaging those together into one figure can hide exactly where the real opportunity for improvement sits.

Breaking the number down by call type, or even by time of day, usually points a team straight at the highest-value place to focus their next round of knowledge base updates.

The honest caveat here is that containment rate isn't the only thing that matters. A business chasing a high number at all costs could end up pushing calls through the AI that really needed a human, which tends to show up as worse customer satisfaction even if the containment number looks good on a report.

The goal isn't the highest possible percentage. It's the highest percentage that still leaves callers with a genuinely good experience, and most businesses find that balance improves naturally as the knowledge base matures rather than needing to be forced.