CHURN RISK — HIGH
Customer: Acme Corp (ARR: $14,400)
Signal: Third billing complaint in 14 days.
Mentioned "looking at alternatives" on call #4471.
→ Retention playbook triggered automatically
Product
One platform: coverage, scoring, risk in dollars, and AI-safe replies.
See the live monitor your execs open on Monday, the anatomy of a scored interaction, and the quality gate that blocks bad AI before customers see it.
The blind spot
You cannot protect the conversations your team never sees.
Most support teams still review a tiny sample of customer interactions. That means the majority of churn signals, compliance misses, coaching gaps, and bad AI replies pass through unnoticed.
A customer hints they are shopping competitors. Another gets incorrect billing information. Another leaves the interaction frustrated enough to never come back.
RetOps helps you catch those moments before they become lost revenue.
The math
A small miss per conversation becomes a massive leak at scale.
When thousands of customer interactions happen every week, even a small number of missed signals adds up fast. Poor QA coverage does not just create operational risk. It creates churn, repeat contacts, refunds, escalations, and missed expansion opportunities.
- Subscribers
- 500,000
- Monthly churn
- 1.5 — 2.5%
- ARPU
- $40
- Monthly loss
- $480K — $800K
- CAC to replace
- $300 — $500
- Annual cost
- up to $48M
RetOps helps teams connect conversation quality to real business impact, not just scores on a dashboard.
The platform
What Monday morning looks like with RetOps.
By the time your team logs in, RetOps has already analyzed the last 24 hours of calls, chats, tickets, and AI responses.
Instead of guessing where problems are, leaders see what needs attention first. Revenue risk. QA failures. AI mistakes. Escalations. Coaching opportunities. Expansion signals.
Everything is surfaced in one operational view so your team can act faster.
RetOps / Risk monitor
Live stream
Live — updated 2m ago
QA ALERT — BELOW THRESHOLD
Agent: Alex R. — Score: 58/100
Issue: Skipped identity verification on 3 consecutive calls.
Compliance flag raised.
→ Coaching card generated
AI HALLUCINATION — FLAGGED
Bot: Support Bot v3
Response: "Your plan includes unlimited international calls."
Ground truth: Plan includes 500 minutes. Unlimited is $20 add-on.
→ Response blocked. Escalated to human agent.
SALES SIGNAL — UPSELL
Customer: NovaTech Ltd.
Quote: "We're adding two more offices next quarter."
Estimated expansion: $2,400/month
→ Routed to account manager via CRM
CHURN RISK — MEDIUM
Customer: Brightfield Inc. (ARR: $7,200)
Signal: Negative sentiment detected in 2 of last 5 interactions.
No escalation yet — monitoring.
Score output
What one scored interaction gives your team.
Every call, chat, and ticket becomes a usable record your team can act on.
RetOps scores the interaction against your QA rubric, highlights what went wrong, estimates business risk, and triggers the next step. Coaching. Retention outreach. Escalation. Follow-up.
This is not just reporting. It is operational guidance based on what actually happened in the conversation.
Interaction #4471
- Customer
- Acme Corp
- Agent
- Alex R.
- Channel
- Voice
- Duration
- 8:42
- Type
- Billing
- Date
- April 2, 2026
QA ScoreBelow Threshold
58
Churn Risk: High
$14,400/year at risk
3rd complaint in 14 days. Competitor mention.
Rubric Breakdown
| Greeting & identification | 9/10 | Pass |
| Problem understanding | 7/10 | Pass |
| Policy accuracy | 3/10 | Fail — cited wrong refund policy |
| Resolution offered | 6/10 | Marginal |
| Empathy & tone | 8/10 | Pass |
| Compliance (ID verify) | 0/10 | Fail — skipped |
| Close & next steps | 5/10 | Marginal |
Actions triggered
- Coaching
Card to supervisor — policy accuracy, compliance
- Retention
Playbook activated for Acme Corp
- Escalation
Flag set for next interaction
Trust Score: 91%Calibrated on 1,000+ human-reviewed samples
AI agent QA
Your AI can sound confident and still be wrong.
That is what makes AI risky in customer support.
Traditional QA tools were built for human interactions. They do not reliably catch hallucinations, policy drift, unsupported promises, or responses that sound polished but are factually wrong.
RetOps reviews every AI response against your rules, knowledge, and risk thresholds before it reaches the customer. Responses can be approved, rewritten, blocked, or escalated automatically.
That is how AI becomes safer to use at scale.
Founding customers get first access to AI agent QA.
RetOps / Quality gate
Draft review
Review required
Draft Response — Support Bot v3
"Your subscription includes unlimited data on all plans. You can upgrade anytime by visiting account settings."
Quality checks
- Policy compliancefail
"Unlimited data" contradicts plan docs.
- Evidence groundingfail
No knowledge base match for this claim.
- Risk scoringmedium
Incorrect promise = potential billing dispute.
- Tone & promise checkpass
Professional tone. No inappropriate commitments beyond the factual error.
- Escalation conditionspass
No profanity, threats, or PII exposure.
Verdict
Send
Rewrite
BLOCK
Response blocked. Escalated to human.
Customer received: "Let me connect you with a specialist who can confirm your plan details."
The gap
Most tools solve one part of the problem. RetOps connects the whole chain.
Some tools score conversations. Some track customer health. Some monitor AI. Most stop at insight.
RetOps connects QA coverage, churn detection, AI quality, coaching, and action in one operating layer, so your team is not jumping between separate tools to figure out what to do next.
That is the difference between seeing risk and actually preventing loss.
| Observe.AI | Cresta | Scorebuddy | RetOps | |
|---|---|---|---|---|
| 100% AI-powered QA | ||||
| Churn risk with $$ values | ||||
| Automated retention | ||||
| AI agent QA* Q3 2026 | ||||
| Unified operating layer |
Many incumbents price per seat at enterprise tiers and stop at insights. RetOps is built as one layer for QA, revenue risk, AI safety, and follow-through — packaged for how your operation actually runs.
Illustrative comparison from public product positioning; validate against your requirements.