01 · C-level · Online course
Scattered pilots and “playing with ChatGPT” look like transformation — but they are not a strategy. 6 recorded classes on owning AI at C-level: strategy tied to the P&L, priorities, data, people, risks and ROI — and how to talk about it with the CEO and the board.


Manage AI as a business asset, not a set of experiments — and get a clear picture of the role, its scope and its KPIs.
You are already responsible for digital transformation. Learn to turn it into an AI portfolio the board understands.
Fragmented initiatives and no ROI? Learn to prioritize, scale what works and shut down what does not.
Class 3 prioritizes AI initiatives by three questions: impact, feasibility and risk. Rate four of your initiatives — or keep our examples — and see what a CAIO would do with each.
Your portfolio
1 = low, 5 = high. A simplified version of the class 3 matrix — in the course you also check data readiness (class 4) and the planning horizon (class 2).
Get the course — $500 →Frameworks, checklists and templates for the CAIO, real cases of AI transformation and a roadmap for rolling AI out across the company.
Why AI is a management function, not an IT tool · who the CAIO is: responsibilities, influence, KPIs · CAIO vs CIO vs CTO vs CDO vs Head of Data · where the CAIO sits in the structure · models of the role in a startup, a scale-up and a corporation · mistakes of companies without an AI strategy
When AI is a must-have and when it is a waste of money · from business strategy to AI strategy · AI use cases along the value chain · build, buy or partner · planning horizons of 6, 12 and 36 months · presenting an AI strategy to the CEO and the board
AI initiatives vs AI products · internal vs external AI · prioritizing cases by impact, feasibility and risk · quick wins vs long-term initiatives · cases in HR, finance, marketing, sales and operations · when to shut AI down instead of scaling it
Why AI does not work without data · data readiness: what the CAIO checks first · MLOps, LLMs and agents at C-level · internal models vs external platforms · vendor lock-in and technology risks · working with IT and data teams
How AI changes roles, professions and responsibilities · upskilling vs reskilling vs replacement · AI literacy for managers and employees · resistance: fears, sabotage, illusions · the CAIO’s role in AI culture · the CAIO team: who you really need to hire
Legal, ethical and reputational AI risks · AI governance and principles of responsibility · how to calculate ROI from AI — and what not to calculate · CAIO KPIs: what to actually measure · typical failures of AI transformations · how the CAIO role will change in 3–5 years
All 6 classes, frameworks and templates, homework reviewed by Mike and a diploma. 1 year of access.
Get the course →175+ academy courses, this one included — 155+ of them in English. New courses every week. For a team of up to 10 — $2,500/year.
Get the subscription →Learn from your phone
Apply it at work
PapaHR is the HR system built by Mike Pritula with the academy’s methods inside. Its Talent and development screen shows who grows, who may leave, team skills and development plans — the upskill-or-reskill decisions from class 5 of this course.
Try PapaHR free →
After every course you receive a named diploma on Accredible — the same platform that issues certificates for Google, Udacity and Rosetta Stone. You can add it to your LinkedIn profile in one click.
“I used to think like an HR person, mostly on the side of “the people.” Now I think bigger and understand the need for balance — not only for the staff, but for the business too. We applied a lot of it in the company, and there are improvements.”Svitlana TysiachnaDuring the course: Human Resources Lead ↑ Now: Chief Operating Officer, SelfStartGlobal Profile on LinkedIn →
“I now clearly understand the strategic value of AI tools for my role and the company as a whole — for example in recruitment, efficiency and talent retention. I got to test and evaluate these tools in practice.”Inna SalataHR Manager, LotusFlare Profile on LinkedIn →
“I discovered a wide range of useful tools and frameworks that directly support the responsibilities of a COO.”Svitlana KlymenkoDuring the course: CMO ↑ Now: COO, Sales Label Consulting Profile on LinkedIn →
“The introduction of AI in HR provided an excellent understanding of how AI technologies can be applied in recruiting, candidate sourcing, and new employee adaptation.”Yuliia VekhovaIT Recruiter, Underhood.dev Profile on LinkedIn →
This course has no published reviews yet. These reviews come from graduates of the academy’s COO and AI in HR courses — from the surveys they fill in when they receive their diploma.
A C-level executive responsible for the company’s AI strategy, prioritizing AI initiatives, ROI, risks and integrating AI into the business — rather than for the technical implementation of models.
The CIO and CTO are responsible for technology and infrastructure. The CAIO is responsible for the business value of AI: why it is needed, where to apply it, which initiatives to pursue and how to measure results.
No. The CAIO is not a developer. The job is to manage AI as a business asset, not to write code or train models.
Through financial and business metrics — cost savings, revenue growth, process speed, risk reduction and impact on the P&L — not the number of models and pilots.
Yes. The annual subscription for $1,000 opens 175+ academy courses, 155+ of them already in English, this one included.
1 year from the day your account opens. All 6 classes are available right away.
Yes. Lessons open in the app for iPhone and Android with the same login and password as on your computer, and your progress is shared.
Yes. Complete the course assignments to receive a named Accredible diploma with a unique code and an online verification link you can add to LinkedIn.