Consistently great customer service. Across every conversation.
Because Revelir grades all your customer service conversations at the standard of your best human QA analyst.
Live in production at enterprises like
Because Revelir grades all your customer service conversations at the standard of your best human QA analyst.
Live in production at enterprises like
Score
40 / 100
Status
✦ Assessed by AIConversation
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.
Why this failed
opened without using the customer's name
"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."
Checked against Contact Handling SOP v2 · Your QA lead can override this grade
Why this failed
escalated without saying what L2 support is
"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."
the customer did not understand the next step
"L2 support? What is that? This is unacceptable."
Checked against Disputes & Chargebacks SOP v4 · Your QA lead can override this grade
Why this failed
stated a policy that does not apply
"It looks like this charge is related to a recurring service that, according to our system, was not fully cancelled before the billing cycle."
Checked against Recurring Billing SOP v2 · Your QA lead can override this grade
Why this failed
solution offered before the cause was established
"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."
Checked against Billing Dispute Handling SOP v3 · Your QA lead can override this grade
The problem
Because customers don't complain until something has actually gone wrong.
Take for example two agents, Adam and Hannah, both trained on the same refund policy.
So why didn't anyone catch Adam's mistake?
Because only
2 to 5%
of conversations get reviewed by a human.
Adam's ticket was one of the grey squares. Nobody reviewed it, and nobody knew until the customer disputed the charge.
How it works
Because every ticket gets graded, and your agents get coached on what went wrong.
every conversation, every day
Your tickets get pulled into Revelir automatically, straight from your helpdesk.
It references the correct SOPs, then grades the ticket against your own scorecard.
Revelir's AI coach shows your agent what went wrong and how to fix it. Your team lead would have raised it at the next scheduled coaching session, weeks later.
You can see how each agent and each team scores over time, so you know whether the coaching worked.
AI Coach for Every Agent
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.
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.
We've manually reviewed tickets for years. Revelir is the first product that has made AI ticket review at scale actually usable.
The team is incredibly responsive. Feedback turns into shipped features fast, it genuinely feels like we're building the product together.
Who this is for
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.
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.
Around 90% agreement with human QA assessments today. You see the agreement rate on your own conversations during the pilot, before committing to anything.
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.
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.
A pilot on your own tickets runs in days. Most of that time is us reading your documents and calibrating against your graders.
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.
Six weeks, and your QA leads decide whether we got it right.
