Deploying AI agents is no longer the hard part. Scaling them is. 

In a pilot with one or two agents, oversight keeps up. At hundreds of agents deciding at machine speed, no team can watch them all, and someone will ask who is accountable and which rule applied when an agent acted. 42% of enterprises have AI agents in production (KPMG, 2025), yet only 26% of companies have successfully scaled AI beyond pilots (BCG, 2024). 

This 2026 guide gives you a practical framework for scaling AI you can trust, built on the Agentic Process Foundation and its four layers: Visibility, Prioritization, Context, and Optimization. 

Inside: 

• What the scaling trap is, how it forms, and the four gaps that stall AI programs before they scale 

• The four layers of the foundation and the question each one answers 

• How the foundation differs from traditional business governance 

• What trusted AI requires in banking, insurance, healthcare, pharma, and manufacturing 

Download the guide and find out whether you could prove your AI stayed within policy, every time.