Data, Governance, & Operating Model

Through data strategy, governance frameworks, and clear operating structures, we help institutions manage AI with transparency and accountability—establishing decision rights, approval flows, and a repeatable cadence for oversight.

What We Do

• Data strategy and architecture for AI-enabled services
• Governance frameworks aligned to existing policies and shared governance structures
• Decision rights, approvals, and risk-tiering that make AI Governable
• Assurance map: privacy, security, logging/audit, accessibility, vendor controls, model risk
• Target operating model: roles, responsibilities, and handoffs across IT/IR/academic/legal/HR

What Members Get

• Governance charter(s) and decision-rights map
• A workable approval flow (risk-tiering for use cases)
• A repeatable operating cadence (who meets, when, and what decisions happen