CVS Health uses over 100,000 AI-driven “agentic twins” to run customer research in 15–30 minutes instead of weeks, achieving 85–95% accuracy and reaching hard-to-access groups. Built with Simile from 3 million consented responses, these simulations remain human-overseen to ensure proper prompting, validation, and governance before live rollouts.

• CVS runs 100,000+ AI "agentic twins" built from 3 million consented survey responses to simulate customer behavior, cutting research time from 4-6 weeks to 15-30 minutes with 85-95% accuracy versus live studies
• The twins let CVS probe hard-to-reach populations (like immunocompromised patients) and understand not just what customers do but why, using demographic and behavioral details tied to each twin
• Human oversight remains mandatory: leads review all prompts/results and investigate any deviation from expected outcomes to guard against bias and privacy risks
• CVS plans to expand the twin population for "dress rehearsals" of new services before real-world rollout