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cloud2030 · September 25 · 48 min

Harness AI Governance

In this episode, we continue our discussion of governed execution for agentic AI and how to prevent agents from taking actions they should not take. We use a maintenance example to examine access, approvals, revocation, rollback, and human checkpoints across systems such as ERP, inventory, HRIS, planning, procurement, and maintenance tools. We also talk about the difference between the agent and the harness around it, and why deterministic workflows are often preferable to direct model action. Transcript: https://otter.ai/u/QNu4NYGzk7xe1Knv3bzVdXBo7ZE?utm_source=copy_url

0:00-48:55
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In this episode, we continue our discussion of governed execution for agentic AI and how to prevent agents from taking actions they should not take. We use a maintenance example to examine access, approvals, revocation, rollback, and human checkpoints across systems such as ERP, inventory, HRIS, planning, procurement, and maintenance tools. We also talk about the difference between the agent and the harness around it, and why deterministic workflows are often preferable to direct model action.

Transcript: https://otter.ai/u/QNu4NYGzk7xe1Knv3bzVdXBo7ZE?utm_source=copy_url

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