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PubNub:Cres Hay4 min readintermediate

Building AI Agents got easier; managing them didn’t: Managing agent sprawl with Blocks Enterprise

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Summary

Building AI agents is now easy, but as deployments grow into dozens or hundreds, companies lose visibility into ownership, usage, and cost—a problem called agent sprawl. Blocks Enterprise offers a private network that lets heterogeneous agents be discovered, permissioned, and audited across clouds without forcing a single framework.

  • Agent sprawl occurs when dozens or hundreds of AI agents are deployed across heterogeneous environments, creating gaps in ownership, usage tracking, and cost visibility.
  • Surveys show 98% of firms plan AI agents yet only ~17% have performance visibility, highlighting a management‑adoption gap.
  • Standardizing every agent’s framework is impractical; instead, standardize the management layer that connects them.
  • Blocks Enterprise creates a private network that lets agents running in AWS, Azure, on‑prem, etc., be discovered, permissioned, routed, and audited without a unified runtime.

Enterprises scaling AI agents need governance and observability without forcing a single technology stack, making a unified management layer essential.

5/10
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