Project Overview
We’re supporting a Swiss insurer as they shift from a legacy system to a new state of the art Claims Management Platform. While the new core rolls out line by line, we are weaving in targeted AI helpers. We apply intelligence inside that lets business analysts locate the right tickets, trace dependencies, and draft sharper requirements in minutes. A Coding-Copilot supports developers on the go, in-IDE feedback and sample patterns, and a “Claim Summary” service puts a one-screen brief of every file in front of adjusters so they can respond while the customer is still on the call.
Context
Midway through the rollout, the client asked how AI could add real value—without delaying the new Claims Management Platform. We focused on the three roles that drive every sprint and every claim:
- Business-analysis boost
An LLM assistant allows analysts to ask natural-language questions across tickets and documentation, retrieve linked items, and auto-generate first-draft requirements—cutting hours of manual work down to minutes. - Developer boost
A Coding-Copilot supports developers in real time, reviewing code as it’s written, flagging gaps, and suggesting reusable snippets for common patterns—reducing rework before pull requests even open. - Claims-handler boost
When an adjuster opens a claim, an in-cloud AI service instantly returns a clear summary—policy facts, loss timeline, recent correspondence, and suggested next steps—so they can act immediately and consistently.
Each AI helper runs within the client’s cloud tenancy, begins as a pilot, and scales only with proven time savings.
In conclusion
A core-system overhaul introduces structure – precisely what AI thrives on. By embedding intelligence where users feel the most friction, the insurer unlocks immediate gains without waiting for go-live.
The LLM transforms scattered documentation into a searchable, context-aware knowledge base. The Coding-Copilot improves code quality at the moment of writing. The Claim Summary service equips adjusters to make faster, more consistent decisions—often while the customer is still on the call.
And the result? Analysts draft clearer requirements, developers deliver cleaner code faster, and claims are resolved with speed and confidence—all while the core platform rollout stays on track.
About the Author
Hamad Masood
Hamad Masood is a Principal Consultant at Ivy Partners, based in Zug, Switzerland. He brings extensive experience in delivering strategic guidance and innovative solutions within the insurance industry. Recognized as a leader in the field, Hamad plays a key role in driving organizational growth and enhancing operational efficiency through his deep expertise in business analysis, digital transformation, and strategic planning.