Customer Operations / AutoQA
Automated QA
for customer support.
AutoQA reads every conversation live and scores it against your SOPs. Failures surface the moment they happen and kick off workflows to alert or fix them.
Trusted by the fastest growing and publicly traded regulated services.
It's invisible until a report.
Scores plateau and don't match reality. Critical failures hide in the 95% of conversations you never read and only surface once they've been counted.
Scores plateau and don't match reality.
110 agents missing phone-ID checks — caught only in a report.
Thousands of expression mistakes a month, invisible until they're counted.
How automated support QA works
Bring calls, chats, and tickets into one review process. Score each interaction against your SOPs, inspect the conversation evidence, and use recurring gaps to guide coaching.
Ashlynn Kenter
02:01Then I got hit with a fee for a failed transaction I didn’t even complete.
01:57No warning, no explanation.
01:50I tried to withdraw my money, it got blocked
01:47
Analyzing interactions01
Reads every conversation
Calls, chats and tickets, the moment they happen, 100%, not a sample.
02
Scores against your SOPs
Every interaction graded against the standards your team is meant to follow.
03
Flags the moment it occurs
Rude tone, escalation language, legal threats and SOP gaps — surfaced as they happen.
What it reads, derives,
and does with it.
What it reads
100% of conversations, in real time — not a sample.
Calls
Tickets
ChatsWhat it derives
The signals it builds from that data, continuously.
SOP adherence
Tone
Escalation / legal threats
Per-agent error patternsWhat it does with it
The signals it builds from that data, continuously.
Flags the issue
Structured score
Per-agent patternsCommon questions
What is automated customer support QA?
Automated customer support quality assurance reviews calls, chats, and tickets against a team’s standards. Rulebase AutoQA scores interactions against SOPs and surfaces quality gaps, escalation signals, and recurring agent patterns for review and coaching.
How should teams use automated QA scores?
Use scores to prioritize investigation, then review the underlying conversation and the criterion that triggered the finding. Calibrate judgments against examples your reviewers agree on, and turn repeated gaps into coaching or process changes. A score is a starting point for review, not a substitute for evidence.
Turn conversation reviews into better support
How Kuda expanded QA coverage →
Read how Kuda moved from reviewing a small sample to covering 98% of its support conversations.
Build coaching from QA findings →
Use patterns in agent conversations to focus coaching on the standards that need attention.
“Rulebase is AI for customer ops at fintechs. It watches every interaction, flags risk in real time, and works the follow-up.”
Oremeyi Adeola Okah
Chief Customer Officer at Interswitch
Every customer conversation, covered.
Review calls, chats, and tickets against your standards, then turn quality findings into focused coaching.
Schedule a Demo
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