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Putting agentic AI systems to work: What practitioners reveal about deployment and governance

Published

24 September 2026

Topic

opportunities

◆ Sectors

AI AgentsEnterprise SoftwareCybersecurity

◆ Source

Read at oecd.ai →

◆ Verified

Fusion42 · 24 September 2026 · Fusion42 review

The OECD paper reveals that agentic AI systems are moving beyond pilots to real-world deployment in sectors like enterprise productivity, software, cybersecurity, and public administration, with autonomy carefully managed through human checkpoints to control risk. It also highlights governance challenges linked to these AI systems acting autonomously, introducing risks of unintended actions and complexity in multi-agent environments.

This Wire brief sits within Fusion42's coverage of AI Agents, Enterprise Software and Cybersecurity.

◆ ◆ The Wire takeaway

Agentic AI is shifting from pilots to embedded workflows with human checks limiting autonomy. Your enterprise AI deployment now demands new governance systems to avoid costly errors as AI moves from advice to action.

◆ Coverage

1 source · 24 Sep 2026

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◆ Topics

AI AgentsEnterprise SoftwareCybersecurityagentic-aiautonomygovernancedeploymentrisk-management