Why 85% accuracy fails in healthcare - what UiPath customers are learning about AI precision

Healthcare automation is exposing a hard truth for CIOs: in revenue-cycle, supply-chain, and compliance-sensitive workflows, 85% AI accuracy is not enough because small errors can delay care, deny payments, or trigger audits. The Medline and Omega Healthcare examples show that successful deployment depends on strong data governance, business-IT partnership, and outcome-focused automation models that improve precision before scaling agentic AI.