Teaching
I teach business leaders to direct agents.
The hardest part of AI enablement is not the technology. It is getting a room of people with no programming background to ship something with it, and to know when not to trust it. That is my day job at Creighton's Heider College of Business, and the same job on-site for corporate teams.
Foundations of AI for Business Leaders
MBA 779 / BIA 789. Graduate seminar, eight weeks, online.
Takes business leaders from AI foundations to a working capstone, with no programming background required. Students set goals an agent can act on, run the build-check-correct loop, extend agents with tools and reusable skills, and audit an AI policy against safety, privacy, security, ethics and organizational policy. They finish having shipped working software with AI assistance, and having explained to someone else why a language model is a content machine, not an answer machine.
This is a lab course. You learn AI the way you learn to swim: you get in the pool.
AI works for you; you do the leading. Start where you are. Go as far as you want. No one gets left behind; no one gets held back.
From the syllabus.
Thriving in the Age of AI
BIA 173. Undergraduate, Magis Core.
Develops AI power users. Students run a real task twice, once without AI and once with it, and document both in an annotated session log marking where the model was accurate, where it hallucinated or showed bias, and how they verified its claims. Deliverables are working web pages built with AI assistance rather than papers, because a page either works or it does not.
Management Information Systems
BIA 253. Four sections.
Databases, software development, decision support and strategic information systems, bridging MIS with business intelligence and analytics. Four sections a semester of the same course is also where the classroom transcript pipeline came from: eight recordings a week is too many to review by hand and too sensitive to hand to a cloud model without a gate.
Corporate training
The Corporate Professor, founded January 2026.
On-site AI training for corporate teams, built around the same premise as the graduate seminar: goals, loops, agents and skills, on the team's real work, in the room. The engagement ships with CP Tutor, a grounded tutor that keeps answering from the course material after the session ends, and withTortoise Watch for the people who want a practice to hold onto.
How I think about it
People do not adopt tools. They adopt workflows, and only when someone showed them the workflow on their own work. I have run the same play four times: building a training and career-coaching program inside a health system's IT department, hiring and training a sales team that doubled across fourteen cities, teaching business students since 2011, and now AI enablement for corporate teams. Different subject each time. Same lesson every time.