customer_support · saas · workflow
Clay scales customer support to 90% AI involvement with Intercom Fin AI Agent
Clay's three-person support team managed all customer queries manually through a Slack community with no automation, causing customers to wait four to six hours for answers, leaving agents stressed, and making it impossible to scale support as the customer base rapidly 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 submit support queries across multiple channels.
Tools used
Fin AI AgentIntercom
Outcome
Fin AI Agent is now involved in 90% of Clay's support conversations and resolves 45–50% of them autonomously, freeing the support team to focus on complex queries while customers receive answers almost instantly.
Results
Time saved7,000 per month
Volume90%
Grounding & classification
Source type: vendor customer story
29 fields verified against source quotes, 2 dropped as unverifiable.
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