AI projects fail all too often for a variety of reasons: spiraling costs without clear value, "toy" projects that miss the actual problems, or long preliminary projects just to set up the right data infrastructure. The result is paralysis: many managers know they need to use AI, but where and how do we start?
Do these problems sound familiar? Then it's time to bring more pragmatism to your AI projects!
Agile AI implementation focuses on the real problems of your employees and customers. We pick a burning issue, quickly build a simple solution (Minimum Viable Product), and involve users in a targeted way. In doing so, we improve the infrastructure exactly where the use case strictly requires it — rather than as an expensive standalone project.
In this intensive workshop, we leave theory behind. We replace months of strategy papers with speed, rapid validation, and pragmatic risk management.
In this training, you will learn:
- •Use Cases instead of Hype: How to identify processes where AI immediately saves time and money.
- •Mastering Risks: How to handle AI hallucinations, privacy concerns, and quality drops by setting clear "guardrails".
- •The MVP Strategy: How to pragmatically test solution ideas within a few days before releasing a large budget ("Fail fast, learn cheap").
- •Bringing Employees Along: How to reduce fears within the team and turn your workforce into drivers of the AI transformation.
Your results at the end of the workshop:
- •You won't fall into the trap of expensive "AI research projects," but will focus on measurable value ("Return on Investment").
- •You'll get a structured approach for your AI projects through a field-tested framework.
- •You'll know the relevant problem areas that guide your decision-making during projects.
- •Most importantly: You'll go home with a concrete 60-day action plan that shows you exactly what you need to do next Monday morning.