What I bring into the room
The subjects CxO conversations actually turn on: what the system may do, how you prove what it did, and how the enterprise is organized to own it.
Executive accountability
CxO communication
What a board, a risk committee, and an operator each need to hear
Operating model
Who owns the agent after the pilot, and what they are allowed to change
Build vs. buy
An honest recommendation before a program commits
Governance that can be audited
Agent boundaries
Action limits, human escalation, and a named owner
Evidence
Logs, traces, evaluations, and drift — the record a review will ask for
Regulatory fluency
Utilities, financial services, and the questions those supervisors ask
Production AI
Agent architecture
Bounded workflows, not open-ended chat on real traffic
Knowledge systems
Source-verified retrieval for regulated environments
A thin slice
One workflow in production before the program widens
Industries
Utilities
Grid operations, customer service, field workforce
Financial services
Regulated agents, model risk, compliance retrieval
Retail
Operational AI where speed and control have to coexist
This is the substance I bring into a CxO conversation, and into the production work that follows it.