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Salesforce's 2026 Report Finds Most Enterprise AI Agents Are Still Ungoverned
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Industry & AI News5 min readAugust 19, 2026

Salesforce's 2026 Report Finds Most Enterprise AI Agents Are Still Ungoverned

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VTechFusion Team

VTechFusion Technologies

Salesforce's 2026 Connectivity Benchmark Report, produced by MuleSoft with Vanson Bourne and Deloitte Digital, finds a sharp gap between how fast enterprises are deploying AI agents and how well they're governing them: 89% of UK organizations now deploy AI agents, but only 54% have a centralized governance framework with formal oversight.

The Numbers Behind the Gap

  • Organizations run an average of 12 AI agents today, projected to grow 67% within two years
  • 50% of deployed agents currently operate in isolated silos rather than as part of a coordinated multi-agent system
  • 55% of organizations cite reliability as their top agentic AI concern, with 24% flagging security specifically

Why Siloed Agents Are the Real Risk, Not Just an Inefficiency

A companion Salesforce report, the Agentic Enterprise Index, tracks the same growth curve from the usage side: the average business went from five activated agents in February 2025 to 13 by April 2026 — a 7% compound monthly growth rate sustained over 15 months. Silos at that scale don't just create redundant automations; they create shadow AI, where agents make decisions with no consistent oversight and no shared audit trail across the systems they touch.

For CRM and ERP leaders specifically, this is the practical governance question replacing "should we deploy agents": not whether agents exist in your stack, but whether you can currently name all of them, what each is authorized to do, and who is accountable when one of them is wrong.

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Frequently Asked Questions

What percentage of UK enterprises deploy AI agents without proper governance?

89% of UK organizations now deploy AI agents, but only 54% have a centralized governance framework with formal oversight, according to Salesforce's 2026 Connectivity Benchmark Report — leaving a substantial majority of deployments under-governed.

Why does it matter if AI agents operate in silos?

50% of deployed agents currently run in isolation rather than as part of a coordinated system, which produces disconnected workflows, redundant automations, and shadow AI — agents making decisions with no consistent oversight or shared audit trail.

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