Governance, EvalOps & Assurance · Govern the Intelligence
Agent Management Framework
Manage AI agents as governed digital labor: registered, permissioned and controlled.
What it is
Design and implementation of an agent management framework: agent registry, onboarding procedures, permission scoping, tool access controls, audit trail requirements, kill-switch procedures, performance evaluation and incident response. Built on real operational patterns from enterprises actually managing agents in production — not framework theory.
Who it is for
Engineering leads, CISOs, risk officers and COOs who are deploying or planning to deploy AI agents in production and need a credible management framework — before regulators, incidents or auditors require one to already exist.
What the engagement includes
Agent inventory, gap analysis, framework design, playbook development and a written Agent Management Framework document with an implementation guide and readiness checklist.
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