Insurance Claims & Analytics: Allstate Case Study

Allstate's 300+ person data science team (D3) faced friction from work scattered across file systems with no version control, taking months to recreate models, and slow environment setup, per CDAO Eric Huls. Allstate implemented Domino's platform; in a two-month pilot, usage grew from 3 to 26 projects and over 5,500 compute hours (about 2.5 years of work). One-click access to R/Python/SAS/Docker sped onboarding, and reproducibility/documentation aided auditing and regulatory compliance; 17,000 adjusters gained faster access to models, with overnight testing and iteration on claims processing. Outcomes included faster model development, improved customer experience, and stronger talent retention through modern tooling.

Domino Data Lab is an enterprise MLOps platform built for regulated industries — the sanctioned sandbox where biopharma teams run reproducible experiments under GxP/21 CFR Part 11 guardrails.

This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.