Loading...
Loading...
Richmond, VA · AI Training & Change Management
Updated May 2026
Richmond is home to Capital One, Dominion Energy, and VCU Health System. These anchors operate in the most heavily regulated AI deployment contexts in the U.S. LocalAISource connects Richmond leaders with change partners experienced in heavily regulated industry AI adoption.
Capital One and other financial services organizations operate under OCC guidance on third-party AI use. Effective AI training includes modules on model risk management, bias testing, explainability, audit trails, and vendor evaluation. For an organization with 2,000-5,000 eligible staff, a full training program runs 5-7 months and costs 100K-180K.
Dominion Energy operates critical infrastructure; AI tools affect power dispatch under FERC oversight and NERC cybersecurity standards. A capable change partner builds a phased program where low-risk use cases go live quickly while mission-critical use cases move through testing and regulatory approval. Total cost typically runs 150K-300K over 18-24 months.
VCU Health operates under FDA, CMS, and Virginia Medical Board oversight. Training is segregated: clinical staff and administrative staff get different training. A health system with 3,000-5,000 eligible staff requires 8-12 months and 120K-200K.
Every AI tool must be evaluated. Your training program should include a tool evaluation checklist.
Separate low-risk from mission-critical use cases. Low-risk can move to production in 6-8 weeks.
Three categories: historical bias, representation bias, outcome bias. Healthcare training should include hands-on bias testing.
Transparently and with informed consent. Develop talking points with patient communication subcommittee.
For financial services focus on model governance maturity. For healthcare focus on clinical outcomes and patient safety.
Join other experts already listed in Virginia.