Your AI agent is talking to customers right now. Someone should be checking its work — every conversation, human or AI, scored against what actually matters.
When humans handled every call, sampling was a compromise you could live with. Now an AI agent can handle thousands of conversations a week — consistently right, or consistently wrong. A 2% sample won't catch the difference.
AI without QA is a new risk layer. Continuous AI QA scores every conversation — and turns what it finds into fixes, not just reports.
Every flagged conversation traces to a root cause. Every fix is approved by a human, pushed live, and re-scored.
Every conversation, against the ten lenses.
Root cause: knowledge, instruction, execution, or policy.
A proposed change — reviewed and approved by a human.
The fix goes live, and the change is logged.
The result lands in your executive briefing — with the metric that moved.
Continuous AI QA scores every customer conversation — human or AI — against what actually matters: intent, accuracy, tone, compliance, handoff quality, and resolution. Instead of sampling a fraction of calls, it checks every one and turns what it finds into fixes, not just reports. Your AI agent is talking to customers right now, and someone should be checking its work.
When humans handled every call, sampling was a compromise you could live with. Now an AI agent can handle thousands of conversations a week — consistently right, or consistently wrong. A 2% sample won't catch the difference. AI without QA is a new risk layer, so we score every conversation instead of a thin sample.
Every conversation is scored on ten lenses: original intent, resolution quality, failure state, repeat-contact risk, source accuracy, handoff completeness, tone and trust, operational defect, coaching opportunity, and expansion signal. Together they check not just whether a call was handled, but whether the customer's actual problem was resolved and what should be fixed next.
Every flagged conversation traces to a root cause — knowledge, instruction, execution, or policy. From there a fix is proposed, reviewed and approved by a human, pushed live, and re-scored. It's QA that ends in a push, not a PDF, and the result lands in your executive briefing with the metric that moved.
Reporting follows a set cadence of artifacts, not dashboards. Day 7 and Day 14 bring stabilization reports, Day 30 is a closeout, then monthly executive briefings and quarterly business reviews. Every review ends in an artifact an operator can read in ten minutes and act on the same day.
QA is redaction-first: personal information is redacted before any analysis touches a transcript. Your rules become active rules scored on every call — what your agent must never do, like quoting a guaranteed rate, gets enforced. Every flag carries its reasoning and evidence, building a defensible trail for healthcare and finance review.
20 minutes. Your data. No pitch deck.