
How healthcare can build a human-in-command approach to AI
Healthcare AI needs human oversight. Risk-based safeguards, meaningful authority and continuous requalification can help build a human-in-command model.
Amber Nigam is the CEO and co-founder of basys.ai, a healthcare AI company developing agentic, explainable and auditable AI for complex healthcare workflows, including fraud, waste and abuse and utilization management. Under his leadership, basys.ai has
worked with and partnered with organizations including CMS, Mayo Clinic and Eli Lilly to reduce administrative burden and improve healthcare decision-making.
A Harvard graduate in Health Data Science, Nigam has instructed at MIT and contributes to healthcare and AI discourse through the New York Times, Harvard Business Review, STAT News and Forbes. His recognitions include the Harvard Alumni Innovator Award, Rock Health’s Top 50 in Digital Health, the Boston Business Journal’s 40 Under 40 and The Healthcare Technology Report’s Top Healthcare Technology CEOs of 2025. He has also been invited to speak at the National Committee for Quality Assurance (NCQA) Health Innovation Summit, Stanford and TEDxBoston/Microsoft.