Governance2026-01-101 min read
Agentic AI governance in the enterprise
Why enterprise autonomy fails without policy-bound orchestration, approvals, audit trails, and budget controls.
title: "Agentic AI governance in the enterprise"
description: "Why enterprise autonomy fails without policy-bound orchestration, approvals, audit trails, and budget controls."
date: "2026-01-10"
tags: "Governance, Enterprise AI"
Agentic AI governance in the enterprise
Why enterprise autonomy fails without policy-bound orchestration, approvals, audit trails, and budget controls.
Why this matters
Enterprise adoption requires controls, evidence, and repeatability—not just model capability.
What to implement (platform primitives)
- Policy enforcement at run time and tool-call time
- Immutable run logs with deterministic replay
- Budget caps and approvals for high-cost operations
- Evidence export for procurement, security, and audits
A practical checklist
- Define control objectives per workflow (approval gates, data boundaries)
- Capture evidence automatically (who/what/why/when)
- Make replay deterministic (inputs, tools, outputs, costs)
- Operationalize with dashboards (SLOs, tracing, burn-rate alerts)
Next steps
- Request pilot access to see governed autonomy in a real workflow.
- Review the Trust Center for control mappings and evidence exports.
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