Elevance Health Uses AI to Simplify Member, Provider, and Employee Experiences at AHIP 2026
During the presentation, Chief Digital Information Officer Ratnakar Lavu explained that the insurer’s AI strategy is focused on solving specific business problems rather than using AI for its own sake. The company has built a conversational platform called Sydney, described as a “ChatGPT‑like experience,” that is integrated into its member app. Sydney can answer questions about coverage, cost, and provider selection. For example, a member who needs knee surgery can ask whether the procedure is covered, how much the member will pay, and which nearby provider offers quality care. The system pulls data from the member’s policy, claims history, and a database of vetted providers to deliver a single, actionable response.
Lavu said that the goal is to reduce the friction that members experience when navigating benefits. “A member can ask a question and say, ‘I have a knee surgery, do my benefits actually cover that knee surgery or not?’ … It understands who you are, it understands your benefits, it understands what you’re asking for, and then provides the right insight,” he explained.
The second priority is to streamline the provider experience. Elevance is using AI to speed up prior‑authorization approvals. According to Lavu, the system does not generate denials; if the AI cannot produce an approval, the request is routed to a human reviewer. The intent is to accelerate approvals so that clinicians can focus on patient care rather than paperwork.
The third focus is on employee support. Elevance’s call center uses AI to aggregate administrative and clinical data about a member before a representative speaks with them. The technology provides the associate with a concise summary and actionable insights, enabling faster resolution of member issues. After a call, the system analyzes the summary to gauge member satisfaction and triggers proactive outreach if needed.
Elevance Health is the world’s seventh‑largest healthcare company by revenue and the largest for‑profit managed‑care organization in the Blue Cross Blue Shield Association. The company serves 46.8 million members through affiliated plans such as Anthem Blue Cross and Blue Shield, Wellpoint, and Carelon. Its business‑process‑outsourcing arm, Carelon Global Solutions, manages offshore and domestic customer‑service operations.
The company’s AI initiatives are part of a broader industry trend in which insurers are adopting generative‑AI chatbots, automated prior‑authorization tools, and data‑driven call‑center analytics to improve efficiency and member experience. Elevance’s approach emphasizes responsible use: the AI is designed to support, not replace, human judgment, and the insurer maintains a human‑in‑the‑loop for any decision that cannot be fully automated.
While the company has not released quantitative metrics on the impact of Sydney or its AI‑powered prior‑authorization workflow, it has highlighted the potential for faster approvals and more personalized member guidance. The strategy reflects a shift toward digital transformation in the health‑insurance sector, where technology is used to reduce administrative costs and enhance service quality.
Elevance’s presentation at AHIP 2026 underscored that AI is being applied with a clear focus on business outcomes. The insurer’s executives emphasized that the technology should empower the organization’s mission of providing accessible, high‑quality care rather than serve as a novelty.
As the industry continues to experiment with AI, Elevance’s experience may serve as a case study for other insurers seeking to balance automation with human oversight. The company has not announced any regulatory filings or upcoming product releases related to its AI initiatives, and it remains to be seen how its approach will influence broader adoption across the sector.
In summary, Elevance Health is deploying AI to:
1. Offer members a conversational tool that consolidates coverage, cost, and provider information. 2. Accelerate prior‑authorization approvals while preserving a human review step. 3. Equip call‑center staff with real‑time, data‑driven insights to resolve member inquiries more efficiently.
The company’s emphasis on responsible, outcome‑driven AI use signals a cautious but purposeful integration of advanced technology into the health‑insurance ecosystem.