# The LTVplus QMS in two minutes — What's coming, and how it works

**[0:03] The idea**

Your QA bots proved that AI can audit tickets. The QMS makes that complete, reliable, and trustworthy. Here's how it works, in two minutes.

**[0:13] Exceptions, not everything**

Every ticket and every call gets audited. But people only see the exceptions: auto-fails, safety flags, and anything the AI couldn't judge. Everything else is accepted automatically.

**[0:25] Every score traces to evidence**

For each criterion, the AI gives a verdict and quotes the evidence. Then plain code does the maths: ninety-five, minus each deduction. No score without a quote behind it.

**[0:37] People stay in control**

If the AI is wrong, the analyst disagrees with one click, and the score is recalculated. And an auto-fail never reaches an agent's scorecard until a person confirms it.

**[0:49] Calls too**

Calls are audited from the recording. Who said what comes from the transcript, and every piece of evidence jumps to the exact moment.

**[0:57] Trust is measured**

Trust is measured, not assumed. Every week, analysts score a sample blind, and the system tracks where the AI agrees with your people, criterion by criterion.

**[1:08] Nothing fails quietly**

And nothing fails quietly. A stalled connector, or an email that never arrived, becomes an alert, not a surprise three weeks later.

**[1:17] The point**

Everything audited. Scores you can check. And people spending their time where it matters.