Your QA scores look great. Your customers are leaving anyway.
QA tools check grammar and greetings. Meanwhile, your bot just said "You got it!" to a customer who rage-quit. That conversation scored 94%.
100 conversations free. No credit card required.
Integrates with your existing stack
The Problem
Your agents are trying. Your tools are lying.
The team follows every script, checks every box, and QA gives them a gold star. Then the customer cancels and nobody can explain why.
Your bot said "You got it!" to a customer who rage-quit.
That conversation scored 94% on your QA dashboard. The agent was polite, the grammar was fine, the greeting was there. But the customer asked for help three times, got the same canned response each time, and left. Traditional QA didn't flag a single thing.
94%
QA score looks great
0.75
EQ score out of 4
6
failure flags missed by QA
0%
Leave over indifference
Bain & Company
1 in 26
Actually complain
TARP Worldwide
25-95%
Profit increase from retention
Harvard Business Review
<0min
Setup time
How it works
Three steps. Five minutes.
5,426 conversations synced
Platform
What you get
EQ scoring, not QA checkboxes
Four dimensions. One score. Measures whether the customer actually got helped, not whether the agent said "thank you."
Alerts that arrive in time
Someone threatens to post on Twitter, you hear about it in Slack within the hour. Not in next week's report.
Churn risk, spotted early
Know when a high-value customer is about to leave. Not after they're gone.
Coaching with specifics
Flagged conversations come with a rewrite. Word for word, what the agent should have said.
"Thanks for reaching out! Is there anything else I can help with?"
"I understand this is frustrating. Let me get this to our team lead today so we can fix it properly."
Revenue impact in dollars
Bad conversations cost money. This tells you how much, per conversation, broken down by pillar.
Integrations
Plugs into what you already use
Your helpdesk pipes conversations in. AINGEL scores them. Alerts go out through the channels your team already watches.
Helpdesks
Alerts
AI Agents
The difference
Same conversation. Very different score.
Most QA tools check if the agent followed the script. AINGEL checks if the customer actually got what they needed.
100% of conversations scored
Not a 1-3% sample. Every single one.
EQ, not keyword matching
Tone, intent, proportionality, resolution path.
Revenue impact in dollars
Not just CX metrics. What it actually cost you.
Alerts in real time
Not a weekly report nobody reads.
Specific rewrites, not vague feedback
Word for word, what the agent should have said.
Research-backed methodology
Not a blank scorecard you configure yourself.
Measures
Grammar, greetings, script
Measures
Did the customer get helped?
Score
94%. Looks great.
Score
0.75/4. Six failure flags.
Outcome
Customer cancels next week
Outcome
Manager alerted. Callback scheduled.
Training
"Be more empathetic"
Training
Exact rewrite, word for word
Speed
Weekly report
Speed
Slack alert within the hour
Founder's Promise
A support team we know lost a $47K account last year. QA score that quarter was 96%. Everyone followed the script. Customers still left. Nobody could explain why, because the tools they had weren't looking at the right things. That's why AINGEL exists. Run your first 100 conversations through it. If we don't find something your current tools missed, you shouldn't pay us.
— The AINGEL Team
Your conversations already hold the answers.
Send us 100 transcripts. We'll run them through our EQ scoring and show you what your current QA tool didn't catch. Free, no strings.
100 conversations free. No credit card required.