Insurance growth isn’t limited by demand—it’s constrained by complexity. Disconnected systems, manual processes, and regulatory pressure make it harder for agents and distribution teams to deliver timely, relevant, and compliant experiences across the client lifecycle – pushing advisors and brokers to favour insurers that equip them with the tools, content, and support to move faster and serve clients better.
Archives: Agenda
Coffee & networking
Agentic AI: The key enabler of insurance business model transformation
- Why Agentic AI is unlike any other form of digital technology
- How can insurers apply it to create new levels of growth and value
- Global best (and worst) practices
PANEL DISCUSSION: AI That Delivers: Real World Automation Gains in Claims & Customer Operations
Where conversational AI and automation have actually reduced cost-to-serve.
Case studies showing measurable gains in claims and customer operations.
How to scale AI safely with governance, transparency, and human oversight, what has changed in workflows, data and proof points from real deployments.
MODERATOR: Cherie Landman, Head of Sales, EMEA, Boost AI
Beyond the Buzz: Profits, Pitfalls & the Next Frontier – Agentic AI
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.
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