AI case study

ClayCustomer support

Three agents battled 6-hour wait times. AI now processes refunds and complex workflows across Slack, resolving issues instantly.

Published|1 year ago

Key results

Staffing Avoidance
2x
Response Time
<10 secs
vs 4-6 hours
Involvement Rate
90%

Result highlights

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The story

Context

A go-to-market development platform supports a 20,000-member community and 7,000 monthly tickets with a team of just three people.

Challenge

Agents struggled with a manual, first-in-first-out queue that forced customers to wait up to six hours for answers. The small team faced severe...

Solution
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Quotes

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Use case

Clay's Customer support is part of this use case:

Agentic Customer Service
71 case studies(+174% YoY)
Proven impact?
LowModerateVery Strong
8.6Very strong
8.3Very strongwithin Software & Platforms
6.5Strongwithin Customer Service

The company

AI platform for automated lead enrichment and sales prospecting.

IndustrySoftware & Platforms
LocationNew York, NY, USA
Employees51-250
Founded2017

The vendor

Intercom is a SaaS company that specializes in customer communication and engagement.

IndustrySoftware & Platforms
LocationSan Francisco, California, United States
Employees1K-5K
Founded2011

The implementation partner

Role in this case study

Worked with Clay to connect Intercom with its Slack community to deploy the Fin AI Agent.

IndustrySoftware & Platforms
LocationNew York, NY, USA
Employees11-50
Founded2021

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