The challenge isn't building AI - it’s deploying it responsibly at enterprise scale.
Moving AI into production requires far more than model performance. Organizations must establish governance, security controls, operational readiness, business alignment, risk management, and executive confidence before AI systems and autonomous agents can interact with enterprise data and critical business processes.
Today’s guidance is largely written from an engineering perspective. What’s missing is a practitioner-driven framework that helps enterprise IT leaders navigate the complete journey—from business case through production deployment—while addressing the governance, security, compliance, and operational requirements that determine long-term success.
The AI Adoption Framework: PoC to Production Working Group brings together enterprise practitioners and technology providers to develop practical guidance that organizations can use to accelerate AI adoption while reducing deployment risk.
