Accelerating AI, cloud, and automation for global competitiveness in 2026

By Pavan Chidella, Software Engineering Director, Evernorth Health Services India 

The conversation around AI and automation has shifted decisively from experimentation to enterprise-scale execution. As organisations mature their cloud strategies and operationalize machine learning models, the focus in 2026 is no longer on isolated proof-of-concept deployments, but on measurable business outcomes. Enterprises are expected to demonstrate how AI, cloud-native platforms, and intelligent automation contribute to operational efficiency, regulatory alignment, and customer satisfaction.

Healthcare presents a particularly relevant context for this transition. Despite sustained investment in digital transformation, core operational processes such as claims adjudication continue to face structural latency and complexity. Addressing these challenges requires not only technology modernization but also a product-led perspective that aligns engineering priorities with business and user outcomes.

When Latency Becomes a Strategic Risk
Claims adjudication is central to the payer-provider relationship. Delays in processing directly affect provider cash flow predictability, increase ...