Healthcare leaders lack a standardized framework to safely onboard and validate AI agents before full deployment

Healthcare organizations can test software but don't have proven playbooks for evaluating AI agents performing end-to-end clinical or operational tasks. Current pilots and pilots-only approaches leave organizations uncertain about safety, reliability, and readiness before committing to production use, creating risk and deployment delays. Healthcare leaders need a structured probation period methodology to validate AI agent performance in real conditions before full rollout.