Coming Soon: Learn

Coming soon

The Vault will offer a course in AI leadership for executives at banks and credit unions. It follows the same six-session syllabus Ben Nichols is teaching now: what AI is, where it already sits in the institution, and how leaders decide, govern and explain it. There is no programming requirement.

The association-branded version of this course includes live attendance rules, recordings, office hours and a recorded pitch assignment. Those pieces are not part of this Vault listing. What is coming here is the course itself, organized around the six sessions below.

What the course covers

Each session is two hours in the live syllabus. The Vault edition will use this same sequence. Delivery format for The Vault (live, recorded, or both) is not set on this page.

1. AI Foundations

What AI is and is not, and why it matters now to bank and credit union leaders. Distinguish AI, machine learning, deep learning and generative AI. Describe the four-layer stack (infrastructure, model development, application development, domain specialization) in business terms. Survey foundation models, agents, multimodal systems, and open-source, hosted and proprietary arrangements. Assess the institution's current AI use and business context.

2. Operational Efficiency

Map AI capabilities to lending, deposits, compliance, fraud and customer or member experience. Generate and evaluate use cases with a structured framework. Score them on impact, feasibility, data readiness and strategic alignment. Separate quick wins from larger bets.

3. Audit and Governance

Design governance that fits the institution's size and regulatory posture. Draft acceptable-use expectations and model-risk practices an examiner can follow. Place AI in the emerging regulatory and information-security landscape. Establish documentation, audit trails and accountability for AI-assisted decisions.

4. Cybersecurity

How AI changes the threat landscape: deepfake fraud, phishing at scale and social engineering. Assess data security and privacy risks from AI tools, including personal accounts and unapproved use. Evaluate defensive uses in fraud detection and monitoring. Align AI security work with existing information-security and vendor-diligence practice.

5. Vendor Evaluation

Evaluate vendor claims with repeatable criteria. Make build-versus-buy decisions on the same basis. Turn a choice into a realistic implementation plan: milestones, budgets, owners and change management.

6. Community and Ethics

Identify ethical risks in deployment: bias, privacy, transparency and accountability. Weigh adoption against community banking and credit union values, and against customer or member trust. Communicate the strategy to boards, operating leaders, budget committees and skeptics. Synthesize the work into an executive summary.

Who it is for

Strategic and operating leaders at community banks and credit unions: chief executives and operating, finance, credit, lending, retail, risk, compliance and technology leaders, plus board members who need to oversee the work. It is not a coding course for analysts or engineers.

Participants in the live syllabus work toward an AI strategy and implementation roadmap for their own institution. That remains the organizing deliverable. This page does not open enrollment, name a start date or attach a price.

Upstate AI helps banks and credit unions understand, evaluate and implement AI on established platforms. Its founder, Ben Nichols, works with institutions on AI strategy, implementation and governance, and teaches AI at Syracuse University. ben@up-state-ai.com