A Strategic Framework for Governing AI Agents at Scale
For CIOs, CISOs, Enterprise Architects, and their Advisors
Complete the assessment to unlock your personalized report and the full Blueprint PDF
"Your employees are already using AI agents. You just don't know which ones, with what data, at what cost, and at what risk."
A comprehensive guide to transform Shadow AI into Controlled Innovation
Progressive governance: minimal friction for experimentation, maximum control for production
"Move fast, learn fast — with guardrails"
Experimentation and proof-of-concept with non-sensitive data. Minimal governance — usage logging, no approval required.
"Scale what works within your team"
Department-level productivity with internal data. Full audit trail and manager approval required.
"Production-grade with full compliance"
Business-critical automation with all data types. SOC2, GDPR, approval workflows, and SLAs.
Foundational elements for governing AI agents at enterprise scale
Complete inventory of all agents, usage metrics, and cost attribution
Agent risk scoring and data sensitivity tiers
Data access policies, prompt guardrails, and approval workflows
Clear criteria for moving from experiment to production
Performance metrics, cost analytics, and drift detection
Each phase delivers tangible value while building toward comprehensive governance
Shadow AI audit, stakeholder interviews, data flow mapping, and governance gap analysis.
Control plane deployment, SSO integration, Sandbox zone launch, and AI policy v1.0.
Departmental zone launch, pilot departments, agent promotion, and cost allocation.
SOC2 certification, full policy engine, Zone 3 launch, and AI Center of Excellence.
Take the 5-minute AI Governance Assessment to receive a customized analysis of your organization's readiness, plus the complete 12-page Blueprint PDF.