AI for government, from someone who knows procurement
Chris spent 31 years in the Air Force, much of it as an acquisition program manager. He now helps cities, counties, and agencies take AI from policy to production, with the budget, procurement, and security realities in view.
City of Daytona Beach: AI for public records, from pilot to production
Chris led the vTECH io team that worked with Iternal Technologies and the City of Daytona Beach to deploy an AI-powered public-records platform on Intel Xeon 6 processors. Intel published the results as a customer case study.
Practical, accountable, and procurement-aware
AI Readiness for Agencies
Assess leadership alignment, data, records, security, and staff readiness, and pick a first use case that serves residents.
Sensitive-Data AI
Options that keep sensitive and public-records data on-premises, with governance and guardrails built in from day one.
Pilot-to-Production Planning
Scope pilots with success measures, budget realities, and a support model, so they do not stall after the demo.
Run like a program, not a science project
- Directed 15+ project managers integrating 20+ structural, hardware, and software upgrades valued at more than $2B, from inception through production fielding.
- Developed a $350M aircraft production budget supporting 420 U.S. fighter aircraft; oversaw sustainment and supply chain for the F-16, ground communications equipment, and engines.
- Launched a computer-based training site adopted as an Air Force best practice and used by 1,000+ bases worldwide.
- Spoke on a TD SYNNEX Public Sector Federal Summit panel in Reston, Virginia.
- Graduate of the U.S. Air Force Air War College.
From AI Strategy to Support: What Actually Works in Local Government
Most public agencies have an AI policy, but few have AI in production. This session follows a real deployment: the City of Daytona Beach’s AI-powered public-records platform, built with Iternal Technologies and vTECH io on Intel Xeon 6 processors. Intel’s published case study reports a 78x accuracy improvement and processing of up to 593 pages per minute. Chris walks through choosing a first use case, keeping sensitive data on-premises, procurement and budget realities, the pilot-to-production path, and the support model after go-live. Attendees leave with a practical checklist to take one AI project from approval to daily use.
Book this talkPut one AI project into daily use
Start with a conversation about your agency’s goals, data, and constraints.