Case study · Customer Support

Every support call
and ticket, audited
for accuracy.

Catch misattributed resolutions, eliminate hallucinated answers and lift customer satisfaction at scale.

Customer support audit · Anonymized data
SCOPE AND OBJECTIVE Live QA
01

100% call audit

Every customer support call analysed.

02

100% support tickets audit Synced

Tickets created by both bots and agents, audited.

+20 pts CSAT
50% productivity uplift
THE APPROACH

Stop guessing what a support call
actually resolved.

A customer support organization needed to know whether resolutions logged in tickets matched what actually happened on the call, and whether AI generated answers could be trusted. Every support call and every ticket, created by bots or by agents, was audited automatically.

01

100% call audit

Every customer support call analysed, not a sample, to validate accuracy and customer outcomes.

02

100% support tickets audit

Tickets created by both bots and agents audited for resolution quality, hallucinated answers, and misattributed fixes.

THE RESULTS

Key metrics achieved.

0%

Employee productivity increased

Less time spent manually reviewing calls and tickets.

0% to 0%

CSAT score improved

A 20 point lift after resolutions were held to a consistent, audited standard.

0 Misdispositions Uncaught
Captured

Solutions wrongly attributed to tickets

Misattributed resolutions surfaced automatically, without listening to every call.