Governance
Establish clear policies, roles, and decision-making frameworks for AI initiatives across your organization.
Key Governance Areas
AI governance is the foundation of responsible AI adoption. Without clear policies and accountability, AI initiatives can spiral out of control, creating risks that outweigh benefits.
Policy Framework
Define acceptable use policies, data handling procedures, and ethical guidelines for AI systems across your organization.
Roles & Responsibilities
Establish clear ownership of AI initiatives, from executive sponsors to technical implementers and compliance officers.
Risk Management
Identify, assess, and mitigate risks associated with AI deployment and operations across your business processes.
Oversight & Review
Implement regular audits, performance reviews, and continuous improvement processes for ongoing AI governance.
Governance Checklist
Assess your organization's governance readiness with these essential checkpoints.
Executive Sponsor Identified
Designate a C-level executive responsible for AI governance oversight.
AI Ethics Policy Documented
Create written guidelines for ethical AI use, bias prevention, and transparency.
Review Cadence Established
Set regular intervals for reviewing AI performance, risks, and policy compliance.
Incident Response Plan
Define procedures for handling AI-related incidents, failures, or breaches.
Governance Readiness
Essential items to get started