Customer reliability for B2B SaaS
Know which customers are
breaking before they tell you.
Nerve detects account-specific product failures by connecting usage signals, support conversations, telemetry, releases, and revenue context. Your team sees the affected accounts, likely cause, and next action before a silent issue becomes churn.
Built for technical B2B SaaS teams with high-value customer accounts.
Customer reliability
3 emerging failures
Okta SSO failing after SCIM provisioningP1
Login failures increased for accounts using Okta after release 4.28. Infrastructure health remains green.
Likely causeRelease 4.2887% confidence
Webhook deliveries silently timing outP2
Customers receive 200 responses, but downstream workflows are not completing for one integration path.
Likely causePartner API change74% confidence
Scheduled exports no longer completingP3
One enterprise account has attempted the same export six times without opening a support ticket.
Recommended actionProactive outreachDraft ready
Intercom
Zendesk
Stripe
Linear
Datadog
HubSpot
The blind spot
Your systems can be green
while a customer is completely broken.
Infrastructure monitoring sees services. Support sees tickets. Customer success sees renewals. Nobody sees the full customer failure as it forms.
01
Account-specific failures hide
A workflow can fail only for one tenant, configuration, integration, permission set, or feature flag while global uptime stays healthy.
02
Customers report issues late
High-value users often retry, create workarounds, or quietly reduce usage before opening a ticket or mentioning churn.
03
Revenue context arrives last
Engineering learns how much ARR is affected only after support, success, and sales manually connect the dots.
How it works
From weak signals to a verified customer incident.
Nerve builds an account-level reliability graph from product events, support messages, logs, errors, deployments, billing, and CRM data.
- 1Detect unusual customer friction
Find repeated failures, stalled workflows, usage drops, error bursts, and support patterns at the account level.
- 2Investigate the likely cause
Correlate the affected workflow with recent releases, telemetry, feature flags, integrations, and similar historical incidents.
- 3Prioritize by customer impact
Show affected accounts, ARR exposure, renewal timing, severity, and evidence confidence without blindly ranking by ticket count.
- 4Drive the response
Create an engineering issue, alert the account owner, draft customer communication, and confirm recovery after the fix.
Signal timelineAccount: Northstar Labs
Workflow retries spike6 failed export attempts
Usage anomaly detectedCore feature activity down 41%
Release correlation foundWorker change deployed 18 min earlier
Customer failure opened$48k ARR, renewal in 37 days
Response package readyLinear issue and CSM outreach drafted
Not another support bot
Built for failures customers experience,
not just incidents infrastructure reports.
Traditional tools
× Wait for a ticket or system alert
× Investigate services without account context
× Count requests instead of measuring impact
× Stop after creating an issue
Nerve
✓ Detects silent account-level failures
✓ Connects telemetry, customer, and revenue evidence
✓ Prioritizes by severity, confidence, and renewal risk
✓ Tracks response and verifies customer recovery
Design partner program
Help define the customer reliability category.
We are speaking with technical B2B SaaS teams that manage high-value accounts and regularly investigate customer-specific failures across support, product, and engineering systems.
- Early influence over the product and integrations
- White-glove setup using historical incidents first
- Founding design partner pricing
- No production write access during the initial pilot