Meet Agent Guru.
The analyst who has already read every conversation. Ask in plain language; get the root cause, the calls that prove it, and the fix. It acts only inside your guardrails.
It starts working before you do.
Any investigation can be saved as a standing operator and put on a schedule. This is what a Monday looks like when the questions run themselves.
3 calls cited
112 calls cited
2 calls cited
Illustrative digest. Every finding an operator reports cites the calls behind it.
Dashboards tell you what moved. The calls know why.
Your BI stack has never listened to a call. When a number moves, the why lives inside thousands of conversations, and the tool most teams have for that is a ticket to the analytics queue.
The dashboard shows the drop. It cannot explain it.
CSAT fell two points. Handle time is up 40 seconds. Every chart confirms it, and none of them can say why, because the why is spoken on calls, not logged in fields.
of analytics time goes to building reports
Not reading them. A question becomes a ticket, the ticket becomes a dashboard, and the answer lands days after the moment to act has passed.
Why is CSAT down?
Filed to the analytics queue
Analyst builds a dashboard
A chart, still no why
Why is CSAT down?
The root cause, cited to the calls that prove it
The 60 to 80% figure is industry market context, not a QEval result. Sources include Forrester, Sigma, and Redbird.
Watch a question become a verdict.
Pick an investigation. Agent Guru scans every scored conversation, shows its work, and answers with the calls that prove it. Click a citation to read the moment. Then approve the action yourself.
What happens when the evidence is thin.
The fastest way to lose a team is one confident wrong answer. Agent Guru is built so that cannot happen quietly.
It says so
When few calls match, or the drivers do not separate cleanly, Agent Guru reports low support and shows you the thin evidence, rather than rounding it up into a confident answer.
It cannot invent a metric
Every number in an answer is computed from the Core's deterministic classifications, held to the contractual 94%+ accuracy SLA. The language model narrates the finding. It never does the counting.
Every claim is checkable
Answers cite the calls they came from. If a conclusion looks wrong, open the citations and read the moments yourself; a wrong narrative cannot hide behind an untraceable number.
It is calibrated like everything else
The scores under every answer come from the same engine that is calibrated against your own reviewers and recalibrated when they diverge. How the accuracy is measured and held.
Built on scored conversations, not raw text.
Agent Guru does not search transcripts and guess. It reasons over conversations the QEval Core has already scored, 326 million classifications every 5 minutes, so every claim in an answer resolves to specific calls and the scores behind them. It reads every channel and system you run, through 80+ integrations and the Universal Connector.
Every action has a tier.
You draw the lines once. Agent Guru works inside them, and everything it does is logged, traceable to the calls behind it, and reversible.
Runs on its own
Reports, digests, dashboards, scheduled operators. It runs, it logs, you read the receipt.
Waits for a person
Routing calls to queues, notifying owners, bulk changes. Agent Guru drafts the action with its evidence attached and stops.
A person always sends it
Coaching that reaches an agent, anything a customer could see. Agent Guru prepares; your team reviews and sends.
Agent Guru drafts the action, cited to calls
Routine runs; high-stakes waits for a person
A person signs off inside their permissions
Traceable and reversible, every time
Agent Guru also runs inside each user's role and data permissions. It cannot surface a conversation the person asking is not allowed to see.
Every layer is one question away.
Quality is Layer 1. The five layers above it, where 82% of the value sits, used to mean five more reports to build and monitor. Agent Guru answers each one in seconds, from the same conversations.
We ran it on our own floor first.
ETS Labs builds QEval inside Etech, a live contact center running 4,000+ agents. Etech supervisors asked Agent Guru their Monday-morning questions before any customer did, and it ships only when it survives the floor. Verint is a software company. NICE is a software company. CallMiner is a software company. ETS Labs is an operator who built a product.
Your analysts keep the judgment.
Agent Guru does not replace the people who read reports. It retires the report backlog, and the analysts move up the layers: calibration, coaching, and the questions only a human would think to ask. See what changes, seat by seat.
About Agent Guru.
How do I know the answer is right?
Agent Guru answers from conversations the Core scored at 94%+ accuracy, and every claim cites the calls behind it. You check the source, not just the summary.
Where does my data go?
Nowhere outside QEval. Agent Guru runs on your scored conversations inside your tenant, with no third-party model calls and redaction at ingest.
Can I schedule it?
Yes. Save any investigation as an operator and set the cadence. It runs on its own, finds what changed, and takes the action you approved, daily, weekly, or hourly.
Does this replace our dashboards?
It can build them on request in seconds, and it answers the one-off questions a fixed dashboard never anticipated. Most teams use both.
What can people ask?
Anything your conversations can answer, across all six layers, from a missed disclosure to the root cause of a CSAT drop. No query language required.
Stop building reports. Start asking.
Bring a question about your own floor. In a live session we will put Agent Guru on real calls and let you click the evidence yourself.