Unum Group
Generative AI policy search for AskUnum employees
Unum's policy-search assistant returned results in 4 to 5 seconds, Microsoft reported
Problem
AskUnum representatives manually searched digitized insurance policies while answering client inquiries. Finding relevant terms consumed time and created opportunities for mistakes.
Approach
Unum built a search application using Azure OpenAI Service and Azure AI Search, with support from Microsoft architects. The team refined retrieval and prompts during its pilot, then deployed the application for support employees.
Results
Takeaway
The reported speed concerned policy retrieval. It did not measure the time needed to resolve an entire customer inquiry.
Categories
- Size
- Large enterprise
- Industry
- Finance and insurance
- Business function
- Customer service
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Partner co-development
- Evidence
- Vendor case study
Sources
Source summaries
Microsoft described Unum's deployed policy-search application. It reported response times of 4 to 5 seconds and adoption above 90%, while quoting an executive's 95% launch-accuracy claim.
Full details are in the original sources.