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| Date | 9/14/2025 12:20:12 PM |
AI agents are already writing tickets, spinning up cloud resources, and nudging your finance dashboards. The question isn’t “should we?”—it’s “how do we govern before we scale?” Here’s a practical blueprint for standing up an AI governance platform that keeps autonomy powerful and provable, with guardrails, kill-switches, and audit trails that would make your auditor smile. And yes—map every token and task to the project that benefits.
Tech leaders, a few prompts to sharpen the plan: Which actions are you comfortable letting an agent take without review? What’s your organization’s definition of a “safe default”? How will you trace cost-to-outcome for agent work? What kill-switch ends any runaway workflow in seconds?
Guardrails, Kill-Switches, Audit Trails—Non-Negotiables
Start with policy-driven execution. Agents should act only within pre-approved rules: who can they impersonate, what systems can they touch, and under what thresholds do they require human sign-off?
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