You're sampling 2% of conversations.
The other 98% go unreviewed.
Rig QAs every human and AI agent conversation — automatically scoring performance against your SOP.
Daily: all closed conversations from human & AI agents
Per-agent scorecards with flagged conversations
Coaching docs sent to team leads + training gaps surfaced
See how Rig scores every agent conversation
From raw transcripts to per-agent scorecards — fully automated, daily.
Skipped identity verification step
Incorrect refund policy quoted
Customer escalation not logged
See Rig in action
Built on Rig
Apps Customer Success teams build on Rig
Real examples assembled from Rig's building blocks. Hover to see how each works, then build your own version for your exact workflow.
Call analysis at scale (PULL)
Turn every sales & CS call into structured CRM signal
Classify every call against your qualification framework, then draft the CRM update automatically, so the full picture lands in the CRM without a rep typing it up.
100s of calls / weekChurn-risk & renewals prep
Spot at-risk accounts before the renewal call
Score renewal risk across product usage, support tickets, CRM and finance, then auto-assemble the renewals or QBR pack so CSMs walk in prepared.
BirdieAccount health & expansion
One health score across product, support and finance
A live account health view that blends usage, support load and revenue signals to flag churn risk early and surface the accounts ready to expand.
Common questions
It QAs 100% of closed conversations from both human and AI agents every day, scoring each against your SOP, flagging tone, accuracy, and resolution gaps, and generating per-agent coaching reports. Most teams only manually sample around 2% of conversations; Rig reviews the other 98%.
Yes. Rig scores human and AI agent conversations the same way against the same SOP, which matters more as support shifts toward AI agents and you need consistent quality across both.
About three minutes per agent, versus roughly 45 minutes of manual review, run automatically on a daily schedule with no manual sampling required.
Yes. Role-based access control, sandbox SQL validation, and full audit logging apply to every query Rig runs over your conversation data, so sensitive content stays permissioned and traceable.