Free revenue audit: we’ll score 1,000 of your conversations and show you the revenue at risk.Claim yours →
CX intelligence for a higher bottom line

Every conversation creates opportunity.

AINGEL analyzes 100% of your customer conversations in real time to uncover revenue leakage before it’s lost.

IMPROVE
ROAS
Return on ad spend
REDUCE
CAC
Customer acquisition cost
INCREASE
Profitability
Net profit margin
The cost of a bad conversation

You already paid to acquire them. Don’t lose them in support.

When a shopper has a bad interaction and abandons, the ad spend is gone but the revenue never arrives. Move the sliders to see what that does to your ROAS, CAC and margin.

YOUR NUMBERS
$100,000
$50
$120
15%
Not sure? Most teams aren’t. That’s what AINGEL measures. For reference, PwC found 32% of customers would walk away from a brand they love after just one bad experience. The 15% default is a starting assumption, not a measured figure.
40%
REVENUE LOST EVERY MONTH
$36,000
You paid to acquire 300 customers this month who left after a poor support interaction. Over a year, that’s $432,000 in lost revenue.
Revenue your ads paid for$240,000
Revenue you actually keep$204,000
Kept 85%Lost 15% · $36,000
ROAS
2.04x
down from 2.40x
Effective CAC
$59
up from $50
Gross profit lost
$14,400
per month
Every 1% of customers you keep is worth $2,400 a month.
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Illustrative model: assumes each acquired customer places one order at your average order value. Your real figures come from your own conversations.
Customers

Built for brands where every conversation matters.

Chewy
IKEA
Warby Parker
OLAPLEX
Alo
YETI
HelloFresh
Revolve
Glossier
FIGS
SKIMS
Hermès
Mister Spex
Temple & Webster
allbirds
See what’s possible

Better outcomes

Leading ecommerce brands use AINGEL to find the revenue hiding in their support conversations, and keep it.

Get your free audit
Global ecommerce retailer
30%
less revenue at risk
Luxury ecommerce brand
+18%
conversion
Online marketplace
24%
higher CSAT
Subscription brand
25%
higher retention
Consumer brand
20%
more repeat purchases
Global retailer
+15%
customer lifetime value
Turn conversations into revenue

$3.7 trillion is at risk every year from poor customer interactions.

100%
of conversations analyzed
Real time
revenue leakage identified

100% conversation scoring

Automatically evaluate every customer conversation for quality, compliance, performance and revenue impact.

Revenue insights

Uncover revenue at risk, missed sales opportunities, and the customer experiences driving retention and growth.

Voice of customer

Understand what customers are saying, uncover recurring issues and root causes, and predict CSAT across every interaction.

Proactive alerts

Automatically surface high-priority conversations, emerging issues and revenue risks before they escalate.

Built for your business

Custom AutoQA plus human-in-the-loop QA, ongoing optimization and a dedicated customer success team.

Your entire customer experience, connected.
ZendeskIntercomGGorgiasKKustomerSalesforceHubSpotFFreshdeskSlackGmailWhatsAppOpenAIClaudeGeminiDDevin AI
AINGEL Insights

Four pillars. One intelligence layer.

AINGEL Insights rolls every conversation up into four health scores (revenue, retention, product and brand) and tells you the single biggest change to make on each to grow revenue and profitability.

01 · Revenue health

Revenue health, scored

Where money slips out through support: refunds that didn’t need to happen, missed upsells, and carts abandoned mid-conversation.

Revenue healthEXAMPLE
$53.8KAT RISK
Biggest change
Lead with an exchange, not a refund, on sizing-related return requests.
Sizing refunds are the largest single driver of revenue at risk.
Impact: HighEffort: Low
02 · Retention health

Retention health, scored

The early warning signs of churn: repeat contacts, unresolved issues, and customers saying they’re about to cancel.

Retention healthEXAMPLE
$205KAT RISK
Biggest change
Route cancellation-intent chats to save-trained agents in under 5 minutes.
Cancellation intent is going unanswered longest on weekends.
Impact: HighEffort: Medium
03 · Product health

Product health, scored

The defects, friction and feature gaps customers describe in their own words, ranked by what they cost you.

Product healthEXAMPLE
$506KAT RISK
Biggest change
Fix the promo-code error at checkout before the next campaign launches.
It’s the #1 product issue mentioned in conversations this month.
Impact: Very highEffort: Medium
04 · Brand health

Brand health, scored

How customers feel about you: tone, sentiment, public complaints and the conversations most likely to end up on social.

Brand healthEXAMPLE
$22.7KAT RISK
Biggest change
Rewrite the shipping-delay macro your agents send most.
It’s the top source of negative sentiment across every channel.
Impact: MediumEffort: Low
IntentSentimentEmotional context

Your customers change every week. Your priorities should too.

Insights refresh as new conversations come in, so the moves you make on Monday reflect what customers told you over the weekend.

No analyst queue, no quarterly report. Just the four numbers that matter and what to do about them.

Platform overview · 2:28

See AINGEL in action.

From a single frustrated message to revenue at risk, EQ scores and agent benchmarks, in under three minutes.

The AINGEL difference

Legacy QA checks the script. We check if the customer got helped.

The greeting was perfect. The grammar was flawless. The customer still left. Traditional QA measures compliance while missing what actually matters.

AINGEL analyzes every conversation to uncover what went wrong, why it happened, and the revenue at risk.

LIVE · CASE #A-4471 · INTERCOM · BOT “IRIS”
Customer · Live chatIris · AI agent
Hi, I ordered the Trail Runner in a men’s 10 and got a 9 instead (order #48213). I need them for a half marathon on Saturday. Can I talk to someone about a fast exchange?
Sorry to hear that! You can start an exchange from our Help Center. New pairs ship within 7–10 business days once your return arrives.
That’s too late for my race. Please connect me with a real person.
Of course! I’m transferring you to our support team now. An agent will be with you shortly.
Transferred to Support · waiting for an agent…
Sorry, no agent is available right now. Please try contacting us tomorrow during regular business hours.
Are you serious? I waited 10 minutes just to be told to come back tomorrow. My race is Saturday. Unbelievable.
No agent joined · customer left the chat
Compliance QA scorecard
Passed
92%
Greeting used✓
Grammar & spelling✓
Positive tone✓
Closing offer of help✓
Transfer to agent offered✓
Verdict: no action needed. The customer never comes back.
Outcome: not trackedSentiment: not trackedFlags: none raisedRevenue at risk: not measured
Methodology

Not a scorecard. A diagnostic.

Traditional QA tells you whether standards were followed. AINGEL goes further, analyzing what went wrong, how the customer was treated, and the impact on your business.

LAYER 01

Technical failures

What went wrong.
Info accessAccuracy (factual)Accuracy (honest)DeliveryAuthorityEmpathy
OutputFailure category
LAYER 02

EQ dimensions

How it was handled.
Emotional acknowledgmentComprehensionTone consistencyClosure quality
OutputEQ score
LAYER 03

Business-impact flags

What it cost you.
Resolution failureChurn riskMissed sales opportunityEscalation failureRefund risk+14 more
OutputRevenue at risk, in $
3
layers, every time
10
scored dimensions
19
business-impact flags
100%
conversation coverage
Read the full methodology →
Why it matters

Most unhappy customers never tell you. They just leave.

Your conversations already hold the warning signs — AINGEL reads them before the revenue walks out the door.

32%
stop buying from a brand they love after one bad experience
PwC, Experience is everything(2018)
1 in 26
unhappy customers actually complain. The rest stay silent.
TARP / Lee Resources (widely cited)
25–95%
profit lift from a 5% increase in retention
Bain & Company, via Harvard Business Review
<5 min
from connecting your helpdesk to first scores
AINGEL
What’s at stake

The headlines nobody wanted.

From costly mistakes to viral AI failures, even the world’s biggest brands aren’t immune. AINGEL helps uncover the risks hiding in customer conversations before they escalate.

Klarna · 2024

Replaced 700 agents. Now rehiring.

CEO publicly admitted “lower quality.”

700
agents’ worth of work handed to AI, then walked back
Source: Maginative · May 2025
Air Canada · 2024

Chatbot invented a bereavement policy.

Lost at tribunal. The airline was held liable for its bot’s promise.

1 reply
from a chatbot became a ruling on AI liability, covered worldwide
Source: The Register · Feb 2024
McDonald’s · 2024

AI drive-thru pilot pulled.

Viral order failures ended a three-year IBM partnership.

~100
restaurants in the test before it was switched off
Source: NRN · Jun 2024
DPD · 2024

Chatbot swore at a customer.

Went viral on X. The AI was disabled the same day.

1M+
views of the screenshots on X
Source: The Independent · Jan 2024
GQForbesMIT Technology ReviewBloombergTechCrunchReutersThe New York TimesThe Washington Post

Caring isn’t just human anymore.

Every frustrated customer is a person on the other side of the screen. Our brand film, in 27 seconds.

AINGELCX
AINGELCX INTELLIGENCE◆CONVERSATIONS SCORED▲ 100%◆AVG REVENUE AT RISK FOUND$16K / 1,000 CONVOS◆GLOBAL ECOMMERCE RETAILER▼ 30% REVENUE AT RISK◆LUXURY ECOMMERCE BRAND▲ 18% CONVERSION◆ONLINE MARKETPLACE▲ 24% CSAT◆SUBSCRIPTION BRAND▲ 25% RETENTION◆CONSUMER BRAND▲ 20% REPEAT PURCHASES◆GLOBAL RETAILER▲ 15% CUSTOMER LTV◆
Agent benchmarking

One standard for every agent, human or AI.

Compare human agents with each other, and human agents with your AI agents, on the same EQ scores and your own customer guidelines. Finally a fair, apples-to-apples view of who’s helping customers and who isn’t.

AGENT PERFORMANCE
Side-by-side comparison of AI and human agent performance across revenue, EQ and flag metrics.
SAMPLE DATA
AGENTEQ SCOREYOUR GUIDELINESFLAGS / 100REVENUE AT RISK
All AI agents3 agents · avg scores, total risk8.784%10.5$18,400
HUAll human agents4 agents · avg scores, total risk10.388%5.8$10,800
SCORED AGAINST YOUR GUIDELINES, E.G.Escalate to a human when askedOffer a free exchange on sizing errorsNever promise refund datesConfirm the order number
HUMAN VS HUMAN

Coach with evidence, not hunches

Rank your team on EQ and guideline adherence across 100% of conversations, see exactly where each agent slips, and give them word-for-word rewrites.

HUMAN VS AI

Know when your AI is ready

Benchmark your AI agents against your best people on the same scores. Expand automation where it matches them, and route to humans where it doesn’t.

YOUR GUIDELINES

Your standards, enforced everywhere

Add your own policies and brand rules. AINGEL scores every agent against them alongside EQ, so humans and bots are held to the same bar.

FREE REVENUE AUDIT

We’ll audit 1,000 of your conversations. Free.

See exactly how much revenue is at risk in your support conversations before you spend a dollar.

ON AVERAGE, WE FIND
$16,000
in revenue at risk in just 1,000 conversations.
That’s from a single 1,000-conversation sample, not your full volume.
HOW THE AUDIT WORKS
1
Share 1,000 conversations
Connect Zendesk, Intercom, Gorgias or your helpdesk, or upload a CSV.
2
We score every single one
EQ, failure categories, business-impact flags and your own guidelines.
3
Get your revenue-at-risk report
Dollars at risk, the conversations driving it and what to fix first, walked through with our team.
THEN, IF YOU LIKE WHAT YOU SEE
12-month plan.
Cancel after 3 months.
If it isn’t paying for itself by month three, you can walk away. No long lock-in.
Claim your free audit →Talk to sales

The audit is free and doesn’t commit you to anything.