A place where industry problems meet technical builders
AI x Reinsurance Lab brings together people from actuarial, insurance, reinsurance, and adjacent industries with people from AI, ML, data, and technology.
The goal is to create a practical space for sharing real workflow challenges, business problems, and ideas that can lead to better tools, better collaboration, and better industry solutions.
Too many real industry problems never reach the right technical people
On the industry side
Many professionals face workflow pain points every day, but those problems are often trapped inside teams, documents, spreadsheets, and internal processes.
On the technical side
Many AI, ML, data, and engineering experts want meaningful real-world problems to solve, but they often lack direct access to domain-specific challenges.
A practical cross-disciplinary forum
Industry problems
Share real workflow issues, business bottlenecks, documentation pain points, and decision challenges.
Technical perspectives
Explore how AI, machine learning, data systems, and workflow tooling might support those challenges.
Collaborative thinking
Encourage conversations that lead to better products, experiments, and shared understanding.
Built for both domain experts and technical builders
Industry participants
- Actuaries
- Insurance professionals
- Reinsurance professionals
- Underwriters
- Risk and portfolio teams
Technical participants
- AI and ML practitioners
- Data scientists
- Engineers and technical founders
- Researchers
- Product builders
Ideas and perspectives from the lab
Why reinsurance is ideal for agentic AI
High-value decisions, complex documents, and multi-step workflows make reinsurance a strong fit for intelligent workflow support.
From treaty wording to structured decisions
How document intelligence can help teams move from reading and comparison to clearer review and action.
What makes workflow adoption difficult
Why many AI efforts fail in enterprise settings, and what better workflow design looks like.
Interested in joining AI x Reinsurance Lab?
Whether you come from industry or from the technical side, we would love to hear what problems, ideas, and perspectives you want to bring into the conversation.