Governing Custom GPTs: Responsible AI for the Enterprise

Generative AI is reshaping the enterprise landscape, enabling employees to design domain-specific solutions with unprecedented speed and creativity. Yet, with rapid adoption comes real risk: recent studies reveal that over 60% of enterprises cite governance and compliance as their top concern, while only one-third have responsible controls in place.

This white paper presents a three-pillar governance framework; central registry, continuous monitoring, and policy-driven guardrails that equips enterprises to scale AI responsibly. Backed by research showing that organizations with structured AI governance achieve up to 40% higher adoption rates of approved tools, it provides practical guidance on balancing innovation with accountability.

Download the paper to discover how your enterprise can safeguard trust, ensure regulatory readiness, and turn responsible AI into a strategic business enabler.