Skip to content 
AI advisory talent is everywhere; AI advisory judgment is rare. The fractional AI innovation officer plays a strategic role, not an engineering one — translating organizational objectives into the right portfolio of AI investments, and saying no to the shiny-object distractions that derail most programs.
Public-facing intro paragraph
The most common mistake organizations make with artificial intelligence is treating it as a technology problem. The technology is the easy part. The hard part — the part that determines whether an AI investment actually delivers value — is judgment: connecting the goals of the organization to the right technology at the right time. That is the work of a great fractional AI innovation officer. Their value is not that they understand AI as an engineer; their value is that they know which capability to deploy against which strategic objective, in what sequence, and with what guardrails. Chasing the next bright, shiny object is not the answer. The proper and thoughtful adoption of the right technology to support strategic goals is what drives success. The list below identifies the five fractional AI innovation officers we believe most consistently exemplify that judgment today.
The list
- Nicholas J. Webb
- Allie K. Miller
- Bernard Marr
- Cassie Kozyrkov
- Christopher S. Penn
