--- title: "Customer success with 100% conversation coverage — Rig" description: "You sample 2% of support conversations; Rig analyzes every one. Governed AI surfaces churn, escalation, and product signals so CS catches what's missed." canonical: "https://rig.so/uses/cs" format: markdown --- # 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 Trigger Daily: all closed conversations from human & AI agents → Rig agent reasoning Ingest conversation transcripts Score agent performance vs SOP Flag tone, accuracy & resolution gaps Generate coaching reports per agent → Output & actions Per-agent scorecards with flagged conversations Coaching docs sent to team leads + training gaps surfaced 100% Conversations QA'd 3 min Per agent review vs 45 min Auto Daily, no manual sampling ## See how Rig scores every agent conversation From raw transcripts to per-agent scorecards, fully automated, daily. Rig Agent Outputs · CS Scorecard Review CS Conversation Quality Reviewv1Range: **Mar 1 – Mar 7, 2026** Select Workflow CS Conversation Quality Review142 Agent Performance Scoring38 Fraud Agent21 Weekly Active Users8 Select Date Range Date Range v1 ▶ Run Agent working... Pulling transcripts✓ Scoring against SOP✓ Flagging violations✓ Building scorecards✓ Agent Scorecards3 agents Maria T.94/100 James K.71/100 Priya S.48/100 142 conversations scored across 3 agents for the selected period. Flagged Conversations3 CONV-8812 Skipped identity verification step CONV-9034 Incorrect refund policy quoted CONV-9107 Customer escalation not logged Coaching Report **Summary:** 3 of 142 conversations flagged for SOP violations. Agent James K. trending below threshold, so recommend targeted coaching on refund policies. Agent Priya S. requires immediate review: 4 missed escalations this period. Overall compliance:97.9% Avg. score:71 Select WorkflowSet Date RangeReview ConvosView Scorecards ### 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 analysisCalls analysed1,248Acme · discoveryBudget freezeGlobex · demoChampion wonInitech · QBRPricingTop blocker this week: budget freeze · 34 dealsWorkflowCall analysis at scale (PULL)Turn every sales & CS call into structured CRM signalClassify 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.![Granola logo](https://img.logo.dev/granola.ai?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)![Gong logo](https://img.logo.dev/gong.io?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)![Attio logo](https://img.logo.dev/attio.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)100s of calls / weekHow to build](https://rig.so/apps/call-analysis-pull)[Renewal risk · next 30 daysAcme CorpUsage −42% · 3 tickets92Globex71Initech38QBR pack generated ↗DashboardChurn-risk & renewals prepSpot at-risk accounts before the renewal callScore renewal risk across product usage, support tickets, CRM and finance, then auto-assemble the renewals or QBR pack so CSMs walk in prepared.![Zendesk logo](https://img.logo.dev/zendesk.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)![Stripe logo](https://img.logo.dev/stripe.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)![Salesforce logo](https://img.logo.dev/salesforce.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)BirdieHow to build](https://rig.so/apps/churn-renewals)[Account health · Globex Inc78HealthUsage+18%Support−2 ticketsSpend+£4kExpansion readyPropose Tier 3DashboardAccount health & expansionOne health score across product, support and financeA live account health view that blends usage, support load and revenue signals to flag churn risk early and surface the accounts ready to expand.![Segment logo](https://img.logo.dev/segment.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)![Zendesk logo](https://img.logo.dev/zendesk.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)![Stripe logo](https://img.logo.dev/stripe.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)How to build](https://rig.so/apps/account-health) [See all apps](https://rig.so/apps) ## Common questions What does Rig do for customer support teams? 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%. Does Rig review AI agent conversations too? 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. How long does a review take? About three minutes per agent, versus roughly 45 minutes of manual review, run automatically on a daily schedule with no manual sampling required. Is customer conversation data kept governed? 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. ## Ready to QA every conversation, not just 2%? [Book a demo](https://rig.so/book-demo) --- - [This page as HTML](https://rig.so/uses/cs) - [Site map for language models](https://rig.so/llms.txt) - [API and agent documentation](https://rig.so/developers)