New index proves AI agents aren't ready for production
Researchers unveil ProofAgent Index to audit AI agent readiness beyond demos
A new research paper titled *Stop Shipping AI Agents on Faith: Capability Is Not Production Readiness* argues that many AI agents are deployed into production based on superficial demonstrations rather than rigorous readiness assessments. Author Fouad Bousetouane proposes the ProofAgent Index (PAI), a governance framework that evaluates agents across four critical dimensions: Evaluation (observed behavior), Context (operating environment), Compliance (alignment with rules), and Governance (monitoring and control capabilities).
The paper introduces ProofAgent Harness, an open-source infrastructure for auditable agent evaluation, and validates PAI in heavily regulated industries—healthcare and finance. Results show that while capability testing improves behavior, it does not determine production readiness. Context engineering significantly impacts reliability, and governance evidence must remain transparent rather than averaged. PAI transforms agent deployment from a faith-based gamble into an auditable, data-driven decision process.
- ProofAgent Index (PAI) evaluates AI agents across 4 dimensions: Evaluation, Context, Compliance, and Governance
- Validation in healthcare and finance shows PAI effectively separates high-risk from low-risk configurations
- Open-source ProofAgent Harness enables auditable agent evaluation and governance
Why It Matters
For enterprises, PAI provides a science-backed way to assess AI agent safety and compliance before deployment.