Are you drowning in AI tools, wondering how others are getting more done while you are still trying to work out where to start? This course is not about becoming an AI expert. It is about developing the judgment to know which tools fit your workflow, how to combine them for real impact, and how to avoid the mistakes most leaders make when they adopt AI without a clear framework. What This Course Covers a. What AI stacking actually means: combining tools based on your specific workflow, not chasing features b. Mapping your workflow before adopting any tool, so you can evaluate AI against real needs c. AI in action: real demonstrations of how combining tools effectively saves hours each week d. Building a practical starting stack for busy transformation professionals without a steep learning curve e. Avoiding the common adoption mistakes leaders make when using multiple AI tools without a framework What You Will Be Able to Do a. Evaluate AI tools against your actual workflow rather than feature lists b. Build a starting AI stack you can deploy this week without IT support c. Brief stakeholders on AI adoption in language that holds up under scrutiny Who This Is For Practitioners expected to have a point of view on AI in their programme but unsure where to start, and people tired of chasing every new tool who want a framework for evaluating them.