AgentsThe story, in brief

How AI-native companies turn workflows into operating capability

Not a pilot. Three AI-native companies deployed agents across onboarding, account management, and developer workflows — here's what they learned.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Case studies of real agent deployments show how to turn autonomous systems into repeatable operating capability, not one-off automations. Practitioners can adapt these patterns immediately.

The key facts

9 to know
  1. Basis, Clay, and Exa Labs featured as agent deployment case studies

  2. Use cases: onboarding automation, account management, developer integrations

  3. Focus on workflows-as-operating-capability (agent systems as business process, not novelty)

  4. Published by OpenAI — vendor guidance with real-world examples

  5. Framed for enterprise leaders and practitioners seeking deployment patterns

  6. Basis, Clay, and Exa Labs using agents for onboarding, account management, developer integrations

  7. Published by OpenAI as case-study content

  8. Focus on enterprise application patterns for agent deployment

  9. Date: September 1, 2026

Go to the source

OpenAI Blogopenai.com

Publisher excerpt: Basis, Clay, and Exa Labs use AI agents to improve onboarding, account management, and developer integrations. See what enterprise leaders can apply.
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