READY Framework Qualifies AI Agents for Enterprise Deployment Reliability.

The READY framework addresses a critical gap in AI agent evaluation: assessing their suitability for real-world enterprise deployment beyond mere benchmark performance. While existing benchmarks focus on task completion, READY prioritizes reliability, acceptable human oversight, and tolerable operational costs. It provides a standardized procedure to qualify AI agents for specific workflows, measuring the performance of the combined human-AI system.The framework works by defining a workflow's success, then measuring the reliability and cost of various human-AI oversight policies. It selects the most cost-effective policy that meets a predefined reliability target and statistically validates it. This process generates a "deployment profile" detailing the system's reliability, human burden, and cost, enabling evidence-based decisions.A clinical-audit case study demonstrated READY's value, showing that agents with similar autonomous accuracy could require significantly different human review rates to achieve the same reliability. This highlights READY's ability to reveal crucial deployment-relevant differences that traditional metrics miss, shifting the focus from "can it perform?" to "under what conditions can it be reliably deployed?".