Webinar recap: How AI is changing underwriting

Recently, DICEUS hosted an online webinar “How AI Is Changing Underwriting: Opportunities, Limits, and Real Use Cases.”

Our experts Kateryna Monastyrska, Alina Demchenko, and Diana Mircheva spoke about how insurers could apply artificial intelligence in underwriting operations without losing human control.

Missed the session or want to revisit the discussion?

Watch the full webinar recording here:

The discussion focused on three key topics: where AI can support underwriting teams, which risks and limitations should be considered, and how organizations can shift from AI experimentation to practical implementation.

A working example of AI in underwriting is realized in DICEUS AI-Powered Underwriting Workbench. It includes an AI Advisor – a scoring engine that helps underwriters assess submissions in three steps:

• Client information – the underwriter enters key submission details (company profile, employee count, revenue, loss history, requested coverage, distribution channel).
• Assessment results – within seconds, the AI Advisor returns a structured score covering three components: Risk Appetite (in/out), Triage Explanation, and Win Probability.
• Underwriter assessment – the underwriter reviews the AI’s recommendation and finalizes the decision: Accept, Needs Review, or Decline, paired with a risk classification (Acceptable Risk, Conditional Acceptance, or Out of Appetite).

AI doesn’t replace the underwriter. It speeds up triage and highlights risks so the human expert can focus on decisions rather than manual data tasks. To tailor the model to a specific company’s risk profile, we typically train it on 3,000–5,000 historical data entries from that company’s own portfolio.

If you want to see it in action, feel free to contact us.