Academy · 02
AI for Managers
The expensive AI mistake is almost never technical. It is automating the wrong process, buying from the wrong vendor, or launching something nobody told the staff about. This course is about those three. You will leave having priced a real automation in your own department, with the arithmetic on paper.
- 2 days
- Practical
- Two days, on site or online, private cohorts available
What we cover
- 01Finding the work worth automating: volume, repetition, cost, risk
- 02The arithmetic: what it costs to build, to run, and to leave broken
- 03Buy, build or wait — and how to tell which one you are facing
- 04Reading a vendor proposal: the questions that expose a thin one
- 05The parts people underestimate: change management, training, trust
- 06Risk, oversight and the decisions AI must never make alone
- 07Measuring it afterwards, so you know whether it worked
What you leave with
- A ranked list of automation candidates in your own department.
- A costed business case for the first one, with the numbers behind it.
- A vendor scorecard you can use on your next three proposals.
- An oversight policy: what a machine may decide, and what it may not.
Who it's forDirectors, heads of department and operations managers who have to approve, budget for and live with these decisions.
Training a whole team?
Corporate cohorts are taught privately, rebuilt around your own operation and your own examples. Tell us the team and the problem, and we will propose the shape.