AI case study

ClayAgent monitoring

Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.

Published|1 month ago

Key results

Reconciliation Rate
99-99.5%

Result highlights

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The story

Context

A go-to-market platform powering outbound sales motions for startups and large enterprises, executing 300 million multi-step AI agent runs per month.

Challenge

The diversity of free-form natural language inputs made production quality fundamentally unpredictable across different customer workspaces....

Solution
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Scope & timeline

  • 25-50 internal team members actively using trace debugging

Quotes

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The company

AI platform for automated lead enrichment and sales prospecting.

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

The vendor

Framework and developer platform for building LLM-powered applications.

IndustrySoftware & Platforms
LocationSan Francisco, CA, USA
Employees11-50
Founded2022

Use case

Clay's Agent monitoring is part of this use case:

AI Infrastructure
65 case studies(+142% YoY)
Proven impact?
LowModerateVery Strong
3.3Moderate
2.4Lowwithin Software & Platforms
3.1Moderatewithin Product Engineering

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