Our Feb 2026 numbers and how to read them - CallFlows AI
Metrics

Our Feb 2026 numbers and how to read them

2026-02-28Metrics

At the end of February 2026, CallFlows AI recorded 34.7% AI-resolved calls across production usage. Because trial accounts are still testing flows, the number rises to 38.8% when you look only at non-trial customers.

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What our numbers actually mean

We measure AI-resolved as a call that reached a complete outcome without a human taking over. The important question is not whether the number looks big in a screenshot. It’s whether the definition is stable, honest, and useful when you compare vendors.

AI-resolved
Complete outcome, no human needed
Redirected
Escalated with transcript + context
User hang-up
A normal call ending (must be counted)
Production-wide AI-resolved rate
34.7%
End of Feb 2026, including trial users who are still testing flows
Non-trial customer view
38.8%
Useful if you want to understand performance after the testing phase
These numbers matter less than the rules behind them. For the framework to compare vendors, read How AI phone agent success rate should be measured.

Why user hang-ups must be included

On phones, hanging up is normal. Many callers end a call the moment they have the answer, or when they decide they’re done. Excluding these calls is like excluding “tab closed” sessions from a website funnel.

Important: Some vendors make the number look better by changing the denominator, excluding call endings they don’t like, or quoting only their most mature slice of traffic. The useful question is whether they can explain what's in the number.

How to read vendor statistics

Definitions

  • What counts as resolved?
  • Are hang-ups included?
  • How are transfers/escalations counted?

Operator workflow

  • Is there a transcript + summary?
  • Is there an end reason?
  • Can operators review call history in one place?

Which calls this affects most

These definitions matter most on high-volume call types like order status, delivery questions, returns, lead capture, and common support flows. If one vendor excludes short hang-ups and another includes them, the numbers can look wildly different even when the real caller experience is similar.

Why we don’t over-index on one number

A resolved-rate snapshot is useful, but it is not the product. The product is the caller experience, the operator workflow after the call, and the quality of the outcomes flowing into your team and systems.

That’s why we emphasize transcripts, end reasons, human handoff quality, system updates, and reviewability alongside the percentage itself.

What we optimize for

We optimize for real outcomes and enterprise reviewability, not vanity percentages:

All call history
One view across stores, brands, and platforms.
Transcripts & outcomes
Transcript, summary, end reason, and review state.
Integrations
Tickets, CRM updates, alerts, and human handoffs.
Iterate continuously
Measure what’s resolved, escalated, and repeated, then improve skills.
Want the same measurement model in your environment?
Tell us your top call reasons and systems to connect. We’ll show how we define outcomes and report them.
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