Executive Summary

Governance plays a vital role in AI enablement. And companies are realizing this. A leading consumer healthcare firm enhanced its Responsible AI (RAI) governance amid evolving regulations by implementing the OneTrust AI Governance Module. Transitioning from inefficient manual assessments, the company adopted a centralized, automated solution over six months. The initiative resulted in key outcomes like a standardized repository for RAI assessments, reduced approval timelines, and improved enterprise transparency, ultimately fostering trust in AI initiatives and ensuring compliance across the organization.

To stay ahead of evolving Artificial Intelligence (AI) regulations such as the EU AI Act and other national frameworks, a leading consumer healthcare company initiated Responsible AI (RAI) assessments to promote transparency, accountability, and ethical AI governance. However, the manual use of Excel sheets made these assessments inefficient, inconsistent, and difficult to scale. With a growing number of AI use cases and heightened regulatory scrutiny, the company recognized the urgent need for a centralized, scalable, and automated governance solution — the OneTrust AI Governance Module, which it implemented through a tailored, two-phase deployment over six months

Phase 1: MVP (0- 3 months)

• Custom Configuration: Designed and deployed a tailored RAI assessment questionnaire.
• Workflow Automation: Developed a multistage approval workflow to bring together data science, legal, and risk teams on a single platform.

Key Outcomes

• Standardized Repository: All RAI assessments centralized in one system.
• Improved Process Efficiency: Automated workflows reduced manual follow-ups and delays.
• AI Use Case Visibility: Enabled real-time tracking and oversight.
• Created a detailed roadmap for configuration and user acceptance testing.
• Developed role-specific user guides and delivered targeted demos.
• Drove enterprise-wide communication, engaged business and tech leaders, and facilitated AI Champions’ huddles and community sessions with AI product owners.

Phase 2 (4- 6 months)

• Advanced Risk Controls: Configured risk management and intelligent recommendation controls, including a preconfigured risk taxonomy and mitigant library aligned with the organization’s AI governance policies.
• Dynamic Reporting: Built a comprehensive AI use case inventory with real-time dashboards and analytics for strategic insights.

Key Outcomes

• Faster Approvals: RAI approval timelines reduced from 2–3 weeks to just one week.
• Enterprise Transparency: Achieved centralized visibility of all AI projects across the organization.
• Higher Adoption & Trust: Positive feedback from stakeholders boosted confidence and uptake of AI initiatives.

Conclusion

By implementing OneTrust’s AI Governance Module, the consumer healthcare company transformed its RAI program into a streamlined, scalable, and transparent process, ensuring compliance, reducing risk, and fostering trust in AI across the enterprise.