Demo: Delivering Enterprise Regulatory Intelligence at Scale
Wajeed Abdul
Regulatory organizations generate enormous amounts of data, but turning it into actionable intelligence remains a significant challenge. This session shows how modern intelligence platforms, analytics, & AI agents can transform fragmented information into meaningful business insights. We see how organizations can move from reporting historical activity to driving proactive decisions and strategic actions.
Freyr ONE USA 2026 · 11:00 AM – 12:00 PM · Main stage
Organizations can identify what matters to them when external regulatory intelligence is personalized to their internal business context.
Freyr’s proprietary Knowledge Manager connects industry terminology with company-specific priorities, tailoring relevance for departments and individual users.
Scaling regulatory AI requires domain experts to structure and continuously validate data so digital systems can reason over trusted regulatory knowledge.
Knowledge graphs capture regulatory relationships and dependencies, helping AI recognize how one change can affect multiple business areas.
Automated impact assessment gives affected departments a shared starting point for reviewing regulatory changes and agreeing a coordinated response.
Personalized assessment packs provide relevant findings and recommendations for expert review, with approved actions assigned to owners and tracked through closure.
Specialized agents draw on multiple sources to support strategic decisions grounded in evidence, not instinct.
Agents reason over structured, expert-curated repositories, applying regulatory logic and clarifying missing information before making recommendations for high-stakes regulatory decisions.
The next frontier in regulatory intelligence is collaboration between agents across functions & domains to address questions requiring varied expertise.
By reasoning together like human experts, agents could reconcile overlapping pharma and medical device requirements and clarify product classifications across markets.