Capability Guide · AI Governance

AI Governance Starter Guide

A practical starter framework for responsible AI use that protects sensitive data while encouraging useful productivity.

Acceptable useData handlingRisk controlsEmployee guidance

Governance goals

Good AI governance creates safe boundaries without blocking value.

Goals

  • Clarify what tools employees may use
  • Define what data may and may not be entered into AI systems
  • Set review expectations for AI-generated work
  • Protect customer, employee, financial, and confidential data

Policy and controls

Start with a simple policy that can mature over time.

Controls

  • Approved and prohibited AI uses
  • Sensitive data restrictions
  • Human review and accountability
  • Tool approval list
  • Pilot request intake form
  • Vendor and security review checklist

Execution view

AreaWhat to reviewOutput
Use policyDefine employee boundaries and approved use casesAI acceptable use policy
Data handlingClassify data and identify prohibited inputsData use matrix
Pilot reviewAssess risk, value, owner, and measurement planPilot intake process
TrainingTeach safe prompting, review, and escalationEmployee enablement kit
Core principle

Governance should make useful AI adoption safer and clearer, not become a paper exercise.