DocLens.ai: Building a “Watson” for insurance claims
This case examines DocLens.ai, a startup building a generative AI system to support insurance claims adjusters managing document-heavy workflows. The product aims to function as a “Watson” from the Sherlock Holmes stories by Sir Arthur Conan Doyle – a trusted assistant that surfaces relevant information, frames context and supports human judgment without overstepping it.The case is set in the context of claims processing, where adjusters must interpret large volumes of heterogeneous documents under time pressure. Subtle signals – such as treatment gaps, inconsistencies and jurisdictional nuances – can materially affect claim outcomes, making the work both cognitively demanding and high-stakes.
Authors
- S. Alex Yang (ORCID: https://orcid.org/0000-0002-1238-1539)
- Nitish Jain (ORCID: https://orcid.org/0000-0002-4060-4285)
Institutions
- London Business School (GB)
Publication Details
- Journal
- LBS Publishing
- Published
- 2026-10-27
- DOI
- https://doi.org/10.58018/bnsc-yyjj
- Primary Topic
- Artificial Intelligence Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00