Trustworthy AI Won’t Scale Without A New Quality Playbook: Forrester Offers One
The scaling bottleneck nobody's talking about: enterprises are shipping AI faster than they can prove it's safe. Forrester has a playbook.
Why it matters
Enterprise AI deployment is outpacing safety and reliability validation. This signals a real operational/governance challenge for practitioners rolling out AI in production, and hints at emerging best practices around testing and evals as a gating function.
The key facts
7 to knowAI applications moving to production faster than enterprises can validate safety, reliability, explainability, or utility
Gap between deployment velocity and proof of trustworthiness identified as major barrier to AI scaling
Forrester report titled 'Trustworthy AI Starts With Testing And Evals, Not Deployment'
Testing and evaluation framed as prerequisite to production deployment, not post-deployment activity
Gap between deployment velocity and proof of trustworthiness identified as major scaling barrier
Forrester report: 'Trustworthy AI Starts With Testing And Evals, Not Deployment'
Published September 9, 2026
Go to the source
Forrester Blogforrester.com
Publisher excerpt: AI Trust Starts Before Production AI-infused applications are moving into production faster than most enterprises can prove that they are safe, reliable, explainable, or even useful. This gap is now one of the biggest barriers to scaling AI. Our report, Trustworthy AI Starts With Testing And Evals,…