Cigna Healthcare is expanding AI-enabled predictive tools across care management programs, projecting $200 million in medical cost reductions over the next three years. The models identify patterns associated with cancer, heart disease, kidney disease and high-risk pregnancies, allowing more than 1,250 clinical staff to contact patients by phone, text, email and digital platforms. The expansion is expected to reach about 20% more customers than current programs, with engaged customers projected to save an average of $2,000 a year. Among patients who respond to early outreach, avoidable inpatient stays have fallen 42%, customer satisfaction is 95%, and breast, colorectal and lung cancers have been identified about 55, 46 and 37 days earlier, respectively. Cigna says the AI supports rather than replaces clinical judgment. The initiative adds to separate efforts, including a $100 million investment through 2028 to reduce documentation time and accelerate prescriptions, and a biosimilar campaign that led more than 80% of targeted customers to choose lower-cost alternatives and generated a couple hundred million dollars in patient savings, Katya Andresen says. Since Andresen became Cigna's chief data, digital and AI officer in September 2021, the company has deployed Microsoft Copilot, Cursor, large language models, Sierra conversational tools, a myCigna AI assistant and summarization systems that have reduced note-taking by up to 90% for MDLIVE practitioners. Cigna says its strategy is to prioritize measurable health and financial outcomes as healthcare spending exceeds $5 trillion annually.