80+ AI Use Cases Mapped: Rapid AI Enablement for a US Re-Insurance Broker

The Situation

Serving Underserved Markets Needed a Modern Foundation

The Re-Insurance broker wanted to stop doing insurance work the old way. Manual document intake, slow marketing refreshes, and fragmented data were holding brokers back. They needed a structured AI roadmap with quick wins and long-term scalability built in from day one.

The Challenges

Manual, inconsistent document intake slowing broker throughput

Slow refresh of client-facing marketing materials

Insights hard to access in real time due to fragmented data, no self-service analytics

No AI strategy or roadmap in place

How We Solved It

Analyzed 80+ AI use cases across 6 solution themes: IDP, Summarization, Content, AI Research, AI Assistant, and Predictive

Delivered a phased AI roadmap balancing quick wins with long-term scalable capability

Built and deployed a document ingestion and summarization tool as the first quick win

Designed a centralized data repository and NLQ tool for self-serve analytics

Tech Stack

Azure OpenAI

Document Intelligence

LLM Orchestration Framework

Business Outcomes

What Delos Gained

80+

AI Use Cases Identified

6

Solution Themes Delivered

Phased

Roadmap with Quick Wins

Key Benefits

Built to Compete. Designed to Grow.

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Automated document intake and structuring reduced admin effort significantly

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Standardized submission and memo outputs reduced turnaround time

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AI-driven market and competitor intelligence accelerated renewals

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Predictive next-best-action recommendations improved broker follow-ups

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Content freshness improved through AI-assisted marketing and social drafting