Use case
Manual QA scales linearly with headcount. Automated scoring does not, which is why teams that double still cover 100%.
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If a reviewer can assess forty conversations a week and you double the agent count, you need another reviewer to hold coverage steady, and coverage was already only a few percent. Growth quietly makes your quality programme worse unless something changes.
Volume
AutoPilot does not slow down as volume rises, so coverage stays at 100% whether you are reviewing a thousand conversations or a hundred thousand.
Onboarding
Coaching cards are generated from an agent’s own conversations, so a new joiner gets specific feedback immediately rather than waiting for a review cycle.
More about coaching
50%
less QA time
“Our tickets can be long and complex. AI has been a life-saver in our experience.”
SteelSeries
75%
faster resolution
“Kaizo is an essential part of finding the root causes of areas we need to improve, then improving on that.”
Foot Locker
FAQ
Days. Once your helpdesk is connected, adding a team or a queue is a configuration change rather than an implementation project.
That is the failure mode this removes. Because the rubric is interpreted identically every time, the standard does not drift as the team grows.
Tell us where you are heading and we will show you what coverage looks like at that size.
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