Resolve AI is building an “autonomous SRE” that identifies, diagnoses, and resolves production issues without human intervention.
Their Series A reportedly carries a $1 billion headline valuation, utilizing a multi-tranche structure where part of the equity is priced higher, and the rest is priced lower.
This matters for Customer Success for one reason:
Reliability is now a product feature. And reliability is a renewal lever.
When uptime and incident response get faster, you don’t just protect engineering time. You protect trust, which is what stops churn before it starts. If you’ve ever had a renewal go sideways after “just a few outages”, you already know the pattern. It’s the same pattern I break down in Prevent Surprise Churn, just with a sharper edge.
And this is the bigger signal: AI money is flowing into systems that change customer behavior. That’s why the same “AI agents” wave you saw in MoEngage: AI Agents And The Customer Success Playbook is now showing up inside engineering reliability, too.
Because the board does not care whether the issue lived in “DevOps” or “CS”.
They care if customers stayed.
If your product has even one meaningful outage per quarter, your churn risk is already being set for you.
Below is the exact workflow I’d run to turn reliability into retained revenue.