As insurers face mounting operational and demographic pressures, we explore whether agentic AI can move beyond hype to become the industry’s next true transformation layer.
Archives: Agenda
Opening remarks
Opening remarks:
How to build your document intelligence capability in insurance
As insurers face growing pressure to process unstructured data faster and more accurately, document intelligence is becoming a critical capability across underwriting, claims, compliance and servicing workflows. We will go through
- Common implementation pitfalls: from poor data quality to disconnected workflows and low user adoption
- Exploring what is Agentic Document Extraction
- Where AI driven document processing is delivering measurable impact today across claims, underwriting and customer operation
Lunch and networking
Empowering small and mid‑size sponsors by adopting practical AI tools
- A pragmatic shortlist of AI use-cases where SMEs can realistically deploy now
- Vendor-evaluation criteria that filter for inspection-ready tools
- A budget-conscious framework for rolling out AI without acquiring governance debt
EXCLUSIVE FIRESIDE CHAT: Navigating FDA policy & politics in drug development under the Trump Administration
- Understanding how political priorities and leadership changes shape FDA expectations
- Balancing accelerated approvals and innovation with growing demands for robust evidence
- Navigating uncertainty around incentives, vouchers, and evolving policy frameworks
- Building flexible development strategies that can adapt to regulatory and political shifts
Moderator: Tia Williamson, Associate Director Development Operations Global Monitoring, Incyte
Applying an AI Regulatory Roadmap in Clinical Development to navigate uncertainty and drive implementation
- Regulatory strategy development and AI
- Development of the AI FDA Roadmappertm.
- Applying the roadmap in practice within clinical development settings
- Navigating regulatory uncertainty when implementing AI across clinical functions
- Outcomes, learnings and key challenges from real-world application