AI Governance

From principles to operating controls. Transform your approach to AI governance with enforceable controls, measurable metrics, and continuous assurance.

"Agentic AI introduces autonomous action. Governance has to evolve from ethics statements to enforceable controls, metrics, and continuous assurance."

AI Governance Framework

AI Governance Council & Decision Rights

Establish a cross-functional governance council with:

  • • Clear charter and defined decision rights (RACI)
  • • Escalation paths and predictable cadence
  • • Fast, consistent, and enforceable approvals

Agentic Use-Case Stage-Gates

Implement risk-based stage-gates that:

  • • Require right evidence before launch
  • • Define "human-on-the-loop" checkpoints
  • • Ensure autonomous actions stay within bounds

AI Inventory & Risk Registry

Create a single source of truth for every AI/agent system:

  • • System owner and autonomy level
  • • Dependencies and risks
  • • Prioritize exposure and governance

Controls for Trust

Embed practical controls including:

  • • Identity/attribution and logging
  • • Monitoring and fail-safes
  • • Traceable, auditable, and safe production

Vendor + Contract Governance

Standardize third-party assessments and contracts:

  • • Auditability requirements
  • • Incident notification and data handling
  • • Beyond compliance checklists

Knowledge Base

Leverage our relationships with:

  • • Large established AI leaders
  • • Agility and speed-focused companies
  • • Best practices from leading organizations

How Boards and PMOs Work Together to Govern Agentic AI

Agentic AI changes the governance equation because the system doesn't just recommend—they act and re-act. Effective governance connects enterprise direction to repeatable delivery controls and day-to-day operational ownership.

1

Tier 1: Strategy & Oversight

Group: Board / Audit

Sets overall risk appetite and approves the organizational operating model.

2

Tier 2: Decision Rights

Group: Executive Sponsors

Defines accountability, manages funding, and ensures cross-functional governance alignment.

3

Tier 3: Operationalization

Group: AI Council

Manages intake, assigns risk tiers, and collects audit-ready evidence.

4

Tier 4: Execution & Assurance

Group: Tech / Operations

Builds, deploys, and monitors agentic systems.

Key Structural Elements

Board-Level Responsibility

Effective governance starts at the top. Boards must understand who "owns" the AI strategy and ensure a consistent accountability model across the organization.

Cross-Functional AI Council

This central body is critical for aligning AI strategy with corporate vision and identifying potential risks before they impact operations.

Operational Focus

For agentic systems, governance moves beyond high-level principles to include concrete practices like upfront risk assessment, technical controls, and continuous monitoring.

Human-in-the-Loop

High-risk agentic systems require human oversight to manage decisions that have significant probability or severity of harm.

The Continuous Feedback Loop

  • • Input: Metrics and key structural elements from operations
  • • Action: AI Council uses data to update controls and prioritize initiatives
  • • Outcome: Ensures alignment with strategy while maintaining safety

Strategic Alignment

By assigning clear ownership at every level—from executive sponsors to technical teams—organizations can avoid fragmented accountability and move faster without increasing unmanaged risk.

Contact Us to Get Started

Let's discuss how to build an AI governance framework that scales ethically with your organization.

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