Use case
Manual QA caps out at whatever your reviewers can get through. Kaizo scores every conversation against your own rubric, so coverage stops being a staffing question.
Trusted by global support teams
Most support teams review around 3% of conversations, which means 97% of what happens between your agents and your customers is invisible. Not unmeasured, invisible. Trends only surface once they are large enough to show up in CSAT, and by then they have already cost you customers.
Coverage
AutoPilot evaluates each ticket the moment it resolves, against the criteria you defined, with no reviewer queue and no unconscious bias.
Human review
Auto QA handles grammar, spelling and procedural compliance, then pre-fills criteria and drafts feedback for a reviewer to edit and approve.
More about Auto QA
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
You find out before it goes live. We run it against your historical ratings so you can see where it agrees with your team and where it does not, and tune the criteria until it matches.
They usually are. Kaizo takes your existing criteria rather than imposing a template, and you can connect your knowledge base so the AI has your product context.
Yes, for the part that needs judgement. What changes is that they stop working through a queue and start analysing what full coverage reveals.
We will score a sample of your real conversations against your standards and show you what the sample missed.
Trusted by global support teams
