Enterprise AI reaches a different level of complexity once teams rely on the same data, models, and controls.

Across global programs, Indicium AI supports AI execution inside core workflows where governance, release discipline, and ownership determine whether results last. That work has already generated measurable cost savings and new revenue across industries.

This playbook explains how enterprises design AI operating models that hold under production pressure.

Inside, you will find:

• The four structural layers of AI transformation
• Governance patterns that fit production delivery cycles
• Ownership models that keep business and technical teams aligned
• A vertical slicing approach that keeps transformation work moving
• Case studies from Burger King, London Stock Exchange Group, National Grid Ventures, and EDF Energy

These insights reflect implementation work led by our AI leaders across enterprise AI programs worldwide.

For organizations scaling beyond early wins, this material serves as a practical reference for execution under real enterprise constraints.