Artificial intelligence often feels like a modern disruption in healthcare, but its roots run far deeper than many realize. Long before generative models and agentic systems entered the conversation, healthcare organizations were already experimenting with computational decision support, pattern recognition, and machine-assisted diagnostics.

Modern automation delivers far more than labor savings. Discover the key metrics—cycle time, accuracy, throughput, scalability, and governance—that reveal its true enterprise value and help leaders build stronger, more sustainable automation strategies.

Agentic AI isn’t just “smarter automation.” It changes who (or what) performs work — and how governance must be designed. Here are the five mistakes that cause projects to fail, and how to avoid them.