Whiteboarding the Future of the HC Enterprise | AI Lessons from Other Industries

Healthcare is not the first industry trying to figure out how artificial intelligence changes work at enterprise scale. Niyum Gandhi brought together Jeff Busconi, Athina Kanioura PhD, Margaret Pierson PhD and Scott Sperling to compare what banking, consumer goods, e-commerce and private equity have learned from deploying AI inside large organizations.

The examples ranged widely. Bank of America is using AI to help junior bankers research companies, build presentations and work at a higher level. PepsiCo is combining digital twins with physical AI across operations. Wayfair is using generative AI to improve tasks that previously depended on narrower predictive models, from finding errors in product data to qualifying sales leads. THL has made decades of investment and offering memoranda searchable so teams can interrogate prior decisions and comparable companies in new ways.

Across very different businesses, a common lesson emerged: replacing one task with AI rarely transforms the whole process by itself. Better models can expose bottlenecks elsewhere, change job responsibilities and force organizations to rethink how decisions are made. Kanioura stressed linking technology investments to business strategy and measurable value, while the broader discussion emphasized governance, workforce adaptation and the need to scale what works rather than accumulate disconnected pilots.

For healthcare, the takeaway was less about copying individual tools and more about learning how other industries redesign operations around technology once it proves useful.