Executive course

AI For Business

Patchwork automation doesn't lead to transformation. This course teaches the full scope of AI use cases, how they connect to measurable business outcomes, and what they mean for the future of work.

Class dates

Nov 5, 12, 19 and Dec 3, 2026

Four Thursdays · 9:00 AM to 5:00 PM each day

No session Thanksgiving week. We skip Thursday, November 26 and return December 3 for the capstone.

  • 32 hours · one day a week
  • Knoxville Chamber of Commerce
  • 10 to 15 seats, kept small on purpose
  • No technical background required
Register your interest

$999

$1,799

per seat, launch pricing through October 10

What this course is

This course is about understanding how AI changes the way an organization uses knowledge, makes decisions, serves customers, and coordinates work. You leave with a repeatable framework, not a slide deck of buzzwords.

Who should attend

  • Executives who need AI tied to revenue, cost, and competitive position
  • Operations leaders building smoother processes and better experiences
  • Internal analysts who turn organizational knowledge into faster, better decisions

Why this stands apart

No hand-holding on tools

Platform-agnostic. Students work real friction on their own tools.

Seven AI modalities

A full map of where AI creates value. Automation is only one.

A real capstone

A use case for your organization

Built-in ROI method

Defend the investment to yourself, and understand why it works

The agenda

Four Thursdays,
Four Working Days

DAY 1 · THU NOV 5

Foundations, outcomes, and AI opportunity diagnosis

The day that decides whether the rest of the course lands: what AI has changed, and how to spot where it belongs in your business.

  • AI foundations for decision makers: tokens, context, and dollars
  • Tying AI to business outcomes you already report on
  • The seven AI modalities, and why automation is only one
  • The AI opportunity diagnosis framework, applied to your own process

DAY 2 · THU NOV 12

Assistance, automation, interfaces, and customer experience

The first three modalities in depth, and what each one does to the experience of the people on either side of the process.

  • Assistance: where AI augments people instead of replacing steps
  • Automation: which processes qualify, and which quietly shouldn't
  • Interfaces: how AI changes the way work gets requested and delivered
  • Customer experience as a measurable outcome, not a sentiment

DAY 3 · THU NOV 19

Decision support, creation, intelligence, and ROI

The remaining modalities, then the number you will be asked for the moment you propose any of this.

  • Decision support: turning organizational knowledge into faster calls
  • Creation and intelligence: output, analysis, and where each pays off
  • Building the ROI model: benefits, costs, payback, sensitivity ranges
  • Defending the number in front of a skeptical room

DAY 4 · THU DEC 3

Orchestration, implementation, transformation, and capstone

How the pieces run together, what implementation costs an organization, and your own case presented to the room.

  • Orchestration: making several modalities work as one system
  • Implementation realities: sequencing, change, and what it costs
  • Transformation and the future of work in your organization
  • Capstone: present your AI Business Solution Brief and get it pressure-tested

Your instructors

Marcus Blair

Marcus Blair

Founder, Omega Digital Solutions

Marcus founded Omega to help medium and large companies adopt AI in a way that survives contact with the business. He teaches the diagnosis framework and the ROI model, and leads the capstone reviews.

John McCulley

John McCulley

Founder, Mack2 Strategy

John works with leadership teams on strategy and operating decisions. He teaches the sessions on tying AI to outcomes you already report on, and on what implementation really costs an organization.

John Derrick

John Derrick

Founder, Authentrics AI

John builds AI systems and thinks hard about whether they can be trusted. He teaches decision support and intelligence, and the question of how you know an AI-assisted answer is any good.

Ryan McDaniel

Ryan McDaniel

Director of Operations, Cuantico

Ryan runs operations at Cuantico and has put AI into real processes with real constraints. He teaches assistance, automation, and customer experience, with the failure modes included.

Reserve a seat

Take a seat in the November cohort

Seats are limited to keep the room a real working session, so we talk to everyone before confirming. Send this and one of us replies within two business days with next steps and payment details.

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