Executive AI Seminar — How AI Is Changing Our Business
What happens at a company when executives don’t understand AI
These problems come not from a lack of technical knowledge, but from a lack of decisions. This lecture ends with the decisions that prevent five scenarios.
- You bought the accounts, and three months later no one uses themThis happens when you bring in the tool first without choosing the work. The session starts by flipping the order: work first, then tools.
- We banned it, and staff use personal accountsThe more you block, the more it goes out of sight. Control comes from deciding what to open up and what to log.
- Approving AI-written reports without knowing itIf approvers lack the questions that filter out plausible-sounding errors (hallucinations), the risk grows at the top.
- Teams build in-house, then stall on hallucinationsUnless you first align expectations on what to build in-house and what to solve with proven tools, all that’s left is the cost.
- Ask about results and the answer is just 'we are trying it out'If you do not decide at the start what to measure, you will have no numbers to cite at the budget review a year later.
Curriculum — 120-minute briefing
Audience — executives, division heads, team leaders and other managers. People who need to know 'what must be decided' more than how to use the tools themselves.
Goal — to leave the room having decided what to do first, and what to prohibit, as AI enters your organization.
🏭 Manufacturing
Where manufacturing really changes first — Before AI changes the production line, it changes documents and reporting. We start with the work that takes the most manual effort: quality reports, revisions to standards, and supplier management.
Keeping it separate from smart-factory talk — Predictive maintenance based on equipment data and generative AI use differ in both investment scale and prerequisites. Mixing the two in one report leads to misjudged decisions.
🏦 Finance
What is permitted in a regulated environment — We summarize the direction of supervision and explainability requirements around AI use in finance, so you get a feel for what is open to review and where the prohibitions begin.
How to stop employees from using AI in secret — A ban alone sends people to personal accounts. We cover why opening up approved tools and keeping records gives you better control.
🏗️ Construction & Design
Why document-heavy industries benefit — Construction produces large volumes of rigidly formatted documents, so AI results show up quickly. We set priorities for which documents to tackle first for the biggest impact.
Keeping accountability clear — If you do not draw a line on how far AI can be used in documents that carry serious-accident or quality liability, it becomes a problem later. Together, we draft the wording to include in your internal guidelines.
🏛️ Public & Educational Institutions
Writing institution-wide use guidelines — Leaving it to individual judgment leads to incidents. We cover how to put into guideline wording which tasks to allow and what to prohibit.
A form you can report as results — To report AI adoption as business results, we clarify what to count and which expressions you can use without exaggeration.
View AI training for public institutions and educational organizations →
🏥 Hospitals & Healthcare Institutions
Start by reducing administrative burden — Administrative and documentation work comes before clinical areas. We map out which documents in which departments to tackle first so the burden actually shrinks.
Patient data protection and hospital policy — Once staff start using personal accounts, control is lost. Together we draft the wording for your hospital-wide usage policy.
🏨 Hotels & Dining
What to automate amid labor shortages — We separate the guest service that people must keep from the prep work that can go, and set priorities.
The line that protects brand experience — We flag in advance the points where adding AI for efficiency makes the brand experience feel cheap.
Format
- 1–2 hour lectureAll four modules fit within 2 hours. This is our most common format for breakfast and workshop sessions.
- 4-hour half dayFour modules (120 minutes) plus 120 minutes of discussion and drafting. You leave with a draft of your organization’s internal AI use guidelines, actually written.
Four decisions leaders need to make
The example statements are a starting point. In the seminar, we rewrite these four statements together based on your industry and current usage; in the 4-hour format, we go as far as a draft of your internal AI usage policy.
What follows the executive seminar
Employees start using AI right after training only when the principles are already in place. This is the order we recommend.
- ① Executives — Decide
You set four things: what is allowed, what is prohibited, budget, and results. Without them, company-wide training ends with the question left hanging: 'So can we use it or not?'
Briefing on this page → - ② All employees — Basic usage
Within the agreed principles, each employee hands one of their own tasks to AI and takes the result back to work. Cases vary by industry.
AI Training for Employees by Industry → - ③ Key practitioners — automation
Participants automate repetitive tasks themselves and calculate the time saved. This is where your performance metrics turn into numbers.
AI Agent & Workflow Automation Training → - ④ Management innovation projects — AX workshop
Executives and key talent together choose your company’s AI transformation priorities and build an action plan.
AX Workshop →
Why this briefing — We read the titles of 20 publicly posted threads (some older) in an HR and training manager community that asked for training aimed at executives, senior leaders, and CEOs. Most were requests for executive leadership and organizational management training. The posts that mentioned AI directly were: 'AI training for executives,' 'AI-era leadership talk,' a thread asking about intensive AI training for a major conglomerate’s CEO council, and a thread about what happens during AX adoption when executives don’t understand AI. (As of September 2026)
Get a proposal
We bundle the curriculum and estimated quote for your chosen format into one PDF and send it right away. You can use it as-is for executive reporting and approval. We don’t collect phone numbers — just leave your name and email.
Programs You Can Combine
Employment Insurance Refund
Nanum Consulting’s on-site in-house training is not an Employment Insurance reimbursement (employer-commissioned training) program
To receive an employment insurance refund in Korea, the program must be a course recognized by the Ministry of Employment and Labor and delivered as commissioned training. Nanum Consulting does not hold training course recognition, so our on-site training is not eligible for a refund.
If a refund is a requirement for budget approval, please tell us first at the inquiry stage. We will point you to a route that fits that condition, and if we are not the right fit, we will say so. Finding out after the fact that no refund is available is far worse for both sides.
On-site Training Inquiry
Tell us your executive workshop date, headcount, and industry, and we will send a program plan and quote within 24 hours.