Infosys Helix AI spotlight for payers

A health insurer is the company that pays medical bills, and a claims platform is the software that decides what gets paid, denied, or sent for review. In a podcast published April 9, Infosys Helix said those payer systems are shifting from batch-style back offices to “digital native” operations built around cloud software and artificial intelligence. (hlth.com) The episode featured Sandy Vance interviewing Vadiraj Guttal, vice president and business head for Infosys Helix, on The Beat podcast’s “AI at Health” series. The HLTH summary said the discussion centered on why health plans remain stuck in batch processing and how platform-centric redesign can deliver “two to three times” the improvement of incremental fixes. (hlth.com) A batch system works like overnight bookkeeping: claims, eligibility files, and provider updates are processed in chunks instead of continuously. Guttal said the difference between “cloud native” and “cloud hosted” is central, with the first built for real-time change and the second often just moving old software onto new servers. (hlth.com) Infosys is pitching Helix as the software layer for that rebuild. On its product pages, the company says Helix covers provider management, member enrollment, claims and encounters, appeals and grievances, prior authorization, and employer-group administration for payers. (infosys.com) The company also frames the product as “AI-first” and “platform-powered,” with composable modules that can be swapped in without replacing every system at once. Infosys says the suite is designed to reduce operational silos and move payers to a digital operating model across claims, benefits, provider, and risk workflows. (infosys.com; marketplace.microsoft.com) That pitch lands at a moment when insurers are under pressure to cut administrative cost and speed up decisions. Infosys says only 10 percent of healthcare data is analyzed today, and its Helix materials argue that payer modernization now depends on turning fragmented data into usable workflows for claims, provider, and member teams. (infosys.com) Infosys has been making versions of this case for several years, but the language has shifted from cloud migration to artificial intelligence-led automation. In a 2023 sponsored interview with Fierce Healthcare, Guttal said payer demand had moved from data and analytics toward generative artificial intelligence, while still requiring fixes to basic operating processes. (fiercehealthcare.com) The company’s newer materials are more explicit about where that automation would land. Infosys Helix says its payer workflows use “control agents” to enforce policy and “process agents” to automate execution across claims, provider, plan, and care operations, and one case-study page says appeals can be resolved in three days. (infosyshelix.com) Infosys is not the only company arguing that payer core systems need a rebuild, and vendor claims about speed or return on investment are hard to verify from marketing pages alone. What is new in the April 9 podcast is the timeline: Guttal tied the biggest near-term changes to the next two years, with claims operations and payer data platforms at the center of that shift. (hlth.com) The thread running through the episode is simple: insurers still run too much of their business like overnight accounting, and vendors now see artificial intelligence as the tool to make those systems act in real time. Whether payers buy that argument at scale will show up first in the least glamorous places — claims queues, appeals backlogs, and the data pipes behind them. (hlth.com; marketplace.microsoft.com)