Consistently great customer service. Across every conversation.

Revelir grades every conversation your team handles, against the QA scorecard you already use.

Live in production at enterprises like Xendit Tiket.com

Revelir grades your customer service conversations the way your best QA lead would.

  • Your QA lead reads the conversation, checks it against your SOPs, and grades your agents.
  • Revelir does the same, on 100% of your conversations.
  • Revelir gives you the reasoning, the quote it came from, and the document it checked against.
app.revelir.ai / evaluations / ticket-view

Incorrect Charge - Wrong Amount Charged

#DEMO-51B5FE33 · Agent: Adam · Graded automatically Aug 2, 2026

Score

40 / 100

Status

✦ Assessed by AI

Conversation

Customer · 9:42 AM

I was just charged for $55.99 for a subscription I cancelled last month! This is outrageous. I want this fixed immediately.

Adam · 9:44 AM

Welcome to Revelir! I'm Adam, happy to help you today. I understand you're upset about an incorrect charge of $55.99 for a subscription you believe was cancelled. I can definitely look into this for you.

Customer · 9:45 AM

Yes, that's right. I cancelled it weeks ago. You guys are thieves!

Adam · 9:47 AM

I can see how frustrating that must be, Zoey. To help me investigate this specific charge, could you please provide the transaction ID or reference number for the $55.99 payment?

Customer · 9:48 AM

Why should I have to do your job for you? Just find it! It's REF-789012.

Adam · 9:50 AM

Thank you for providing the reference number, REF-789012. It looks like this charge is related to a recurring service that, according to our system, was not fully cancelled before the billing cycle. I need to raise a ticket to our L2 support team to review the cancellation request details and see if we can process a refund.

Customer · 9:52 AM

L2 support? What is that? This is unacceptable. I already told you I cancelled it. Just give me my money back!

QA scorecard · 10 metrics

Open any failed metric to see the evidence behind it.

The problem

You don't know if your agents are giving the correct answer, every time.

Adam and Hannah were given the same refund policy. On your dashboard Adam looks like the better agent: he was faster, and nobody complained.

Adam
Handle time 4 min
  • Says the booking is not refundable, politely, and closes the ticket
  • The policy said it was refundable
Chargeback, three weeks later
Hannah
Handle time 9 min
  • Checks the policy
  • Confirms the refund
  • Explains when the money will arrive
Customer books again

2 to 5%

of conversations get reviewed by a human.

  • That is the manual QA industry standard
  • Everything grey went out unchecked

Adam's ticket was one of the grey squares. Nobody reviewed it, and nobody knew until the customer disputed the charge.

How it works

From a closed conversation to a better next one.

Your scorecard and your SOPs are configured once, by us. After that this runs on every conversation your team handles.

What setup involves →

every conversation, every day

01

Your agent closes the conversation

It reaches Revelir from your helpdesk. Nobody picks it or queues it.

02

Revelir grades it against your policy

It pulls the SOPs that govern that conversation, then grades every metric on your scorecard.

03

The agent gets coached on what to fix

The score arrives with the reasoning, the quote it came from, and the document it was checked against.

04

The agent performs better the next shift

Scores roll up by agent and team, so you can see whether the fix held.

AI Coach for Every Agent

Grading 20,000 conversations only helps if someone tells the agent what went wrong.

With 30 agents and tens of thousands of tickets a month, no team lead can give that feedback daily. Every agent gets their own coach, built from their own graded conversations.

  • A daily focus drawn from their own tickets, naming the metric they missed and quoting the exchange
  • One action for the day, with repeat gaps flagged as persistent
  • It answers questions. An agent can ask why they were marked down and get an answer from their own QA history
Revelir CoachOnline

Policy accuracy

Yesterday you told a customer their booking wasn't refundable. The policy said it was.

what should I do instead?

Check the refund policy here before you answer.

For today, make sure you provide the policy reference to the customer.

Ask about your coaching history...

Teams running QA on all of it.

Rendy D.tiket.com

We've manually reviewed tickets for years. Revelir is the first product that has made AI ticket review at scale actually usable.

Lorens H.xendit.co

The team is incredibly responsive. Feedback turns into shipped features fast, it genuinely feels like we're building the product together.

~90%agreement with human QA assessments
100%of conversations graded, every day
Every scorecarries the quote and the document behind it

Who this is for

Is this you?

  • Quality varies by agent and you cannot see where or why
  • 30 or more customer service agents
  • 5,000 or more conversations a month
  • QA is manual, or the QA team is too small for the volume

The things people ask first.

Do we have to change our QA scorecard?

No. Revelir is configured against the scorecard your team already uses, metric by metric, with your own definitions. Our team does that configuration for you.

What happens when the AI gets a grade wrong?

Your QA lead sees the reasoning, the quote it came from, and the document it was checked against, then overrides the grade. Those overrides are how we calibrate, so disagreement is the useful part.

How accurate is it?

Around 90% agreement with human QA assessments today. You see the agreement rate on your own conversations during the pilot, before committing to anything.

How is this different from the QA tool in our helpdesk?

Helpdesk QA tools give your analysts a form to fill in, so coverage is still limited by how many tickets a person can read. Revelir does the grading itself, on all of them, and checks answers against your own policy documents.

Which helpdesks do you connect to?

We integrate through the APIs of all major helpdesks, Zendesk and Salesforce included. If your team runs on something else, tell us on the call and we will confirm it before any pilot starts.

How long does setup take?

A pilot on your own tickets runs in days. Most of that time is us reading your documents and calibrating against your graders.

Where does our conversation data go?

Data is processed in our cloud environment and is never used to train third-party models. Full sub-processor list and security documentation available on request.

Run a pilot on your own tickets.

Thirty minutes to walk through how your team grades conversations today. Then we grade a set of your own, and show you where Revelir agreed with your QA team and where it did not.