THE REALITY:

Most organizations have AI policies. Few can clearly explain how those policies apply to their highest-risk systems.

What this includes:

• AI risk assessment across GVP/GCP processes

• Differentiation between AI and automation for validation purposes

• Vendor AI capability and transparency assessments

• Bias, drift, and performance monitoring frameworks

• Governance model design for AI-enabled systems

KEY FOCUS:

Ensuring that AI systems are governed, validated, and monitored in a way that aligns with regulatory expectations—even as guidance continues to evolve.

Outcomes:

• Reduced regulatory exposure from poorly governed AI systems

• Clear validation and oversight expectations

• Practical frameworks for ongoing monitoring and control