AI support incident digestKnow what your AI support got wrong this week.
ReplyAudit reviews AI-handled support conversations and turns risky replies, unresolved customers, documentation gaps, and cost anomalies into a weekly digest your team can act on.
Weekly digest
May 6 - May 12, 2026
Risky AI replies
42
Customers affected
31
Doc gaps found
12
The money artifact
A digest that reads like an incident review, not another dashboard.
The weekly report prioritizes what needs human attention: incorrect answers, failed escalations, repeated confusion, missing docs, and unusual usage patterns.
Weekly digest
AI support incident review
May 6 - May 12, 2026
Risky AI replies
42
+18%
Customers affected
31
+9%
Doc gaps found
12
+4
Cost anomaly
$418
+27%
Incident trend
AI-handled support issues by day
Severity breakdown
Top recurring themes
Flagged conversation
Cedarline Finance
CriticalThe AI told the customer both annual seats and usage overages were refundable, which conflicts with the current billing policy.
What ReplyAudit surfaces
Built around support risk, customer impact, and documentation fixes.
Catch risky replies
Spot wrong, outdated, or overconfident AI answers before they turn into churn signals.
Find missing docs
Turn repeated customer confusion into a ranked documentation backlog.
Review unresolved customers
See which conversations need human follow-up, escalation, or account-owner attention.
Watch cost anomalies
Surface unusual support usage or token spend when the source data is available.
Operating model
Start with a paid audit. Convert the useful report into recurring review.
ReplyAudit is intentionally practical: use exports or scoped sources first, deliver a ranked report, then move customers into weekly digest operations once the value is obvious.
Connect or upload AI-handled support conversations.
ReplyAudit reviews risky replies, repeated confusion, and unresolved threads.
Your team gets a ranked weekly digest with incidents, doc gaps, and actions.
Support and docs owners mark findings resolved, ignored, or escalated.
Trust posture
Serious support review without overpromising.
ReplyAudit helps teams inspect AI support quality. It does not guarantee legal compliance, eliminate every error, or replace professional security review.
Data intake starts narrow.
Early audits can work from scoped exports, redacted examples, and customer-controlled files before deeper integrations are justified.
Minimal data by design
Start with exports or scoped sources. Keep only what is needed to produce the digest.
Clear retention expectations
Set review windows and deletion expectations before recurring analysis begins.
Human review for high-risk findings
The digest surfaces issues for action; it does not claim to replace support judgment.
No unsupported guarantees
ReplyAudit helps surface support risk. It does not promise compliance or eliminate every error.
Founding offers
Price the digest like a useful audit, not another analytics tab.
The first commercial motion is simple: paid support review, specific report, recurring digest upsell.
Starter Audit
A ranked AI support incident report from exported support conversations.
Weekly Digest
Founding recurring plan for teams that want weekly support QA review.
Agency Review
Client-ready reporting for agencies deploying AI support workflows.
ReplyAudit
Turn AI support anxiety into a weekly review habit.
Send exported conversations, known concerns, and doc links. Get a ranked incident, doc-gap, and support-risk digest back.