customer_support · saas · workflow
AI21 Labs automates 82% of customer support with Intercom bots and automation
AI21 Labs was managing customer support manually through Google Groups, with engineers responding to every query, making it hard to scale or collaborate as the customer base grew.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Customer submits support query
Customers reach out with support queries to the AI21 Labs team via the Intercom platform.
Tools used
Custom BotsResolution BotArticlesmacros
Outcome
Intercom enabled AI21 Labs to achieve 82% support automation efficiency (ROAR), a 39% decrease in average response time, and steadily increasing customer satisfaction scores—without increasing headcount.
Results
Time saved39% decrease
Volume82%
Grounding & classification
Source type: vendor customer story
34 fields verified against source quotes, 1 dropped as unverifiable.
chatbotconversational aiknowledge searchsupport agentchat transcriptknowledge basehuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedsoftwareautomation ratecustomer satisfactiondeflection rateemployee productivityresponse time reductionvendor customer storycustomer supportticket triageautonomous resolutionintake to triage