The Future of Regulatory Excellence
Suren
What does the next-generation regulatory enterprise look like? This session presents a vision for connecting domain expertise, digital capabilities, & enterprise data into a unified operating model. Through real-world use cases, platform demos, & customer perspectives, we see how AI, intelligence, & connected workflows can help organizations improve productivity, compliance & business agility.
Freyr ONE USA 2026 · 9:45 – 10:45 AM · Main stage
AI struggles to deliver real enterprise value without integrated, enterprise-wide approaches.
Point automations alone accelerate tasks but fail to improve overall process agility or efficiency at scale.
Distinguishing deterministic from probabilistic AI solutions is essential for regulatory compliance.
Defensible outputs require deterministic AI with full traceability of every step the AI takes. Probabilistic AI serves as a recommendation or input, validated on a risk basis.
Building an AI native platform with knowledge graphs, not relying on bolt-on solutions, is foundational to regulatory digital transformation.
An AI-native platform connects domain, digital and data for sustainable AI adoption, whether reached step by step or in one move. Its knowledge graph helps AI understand varied terminology without forced standardisation.
Combining external intelligence with internal data turns regulatory change into a strategic advantage.
AI turns alert to impact by mapping every new regulatory update in real time to your product portfolio and shows the impact without a manual analysis.
Post-approval management scalability will revolutionize regulatory efficiency by orchestrating complex, cross-team workflows.
Managing label, artwork, and compliance changes at scale addresses significant ongoing regulatory workload and cost.
Start with AI in the loop, then move to human in the loop with AI orchestrating processes and humans supervising critical decisions.
For now, people run the process and AI helps at specific steps. As AI proves reliable, it can take on most of the work while humans review and approve, with strong governance throughout.