If you are using AI to build courses faster, you may be solving the wrong problem.
Beyond Courses is a practical playbook for L&D leaders who need to decide when a course is the right answer, and what to do when it is not. Four tools from the book are ready to use in your next stakeholder Training Request Intake diagnose the real issue behind a request before you agree to build anythingCourse-versus-Alternative Decision compare a course with workflow support, coaching, practice, or a process fix before you commit budgetScripts for Redirecting a Training starting points for challenging a request without sounding obstructiveCapability Pilot plan a small pilot and judge it on business outcomes instead of completions Most training requests are a proxy for something else. Behind them sit unclear expectations, broken processes, weak tools, or work that nobody reinforces. A course cannot fix any of that, and building one anyway costs budget and credibility. AI has changed the economics of knowledge. Your people can already get answers in seconds. What they cannot get from a chatbot is judgement, or practice, or support inside the work itself. That is where L&D now earns its place.
The book moves through four diagnosing why the course-first model fails; understanding what AI changes; designing capability systems; and putting the shift into practice. It includes the CLEAR diagnosis model (Clarify success; Locate current performance; Explore causes; Assess transfer; Recommend interventions) and a full chapter on how to stop a training request and offer something better in its place.
Written for L&D leaders, and for the training managers and HR partners who work alongside them. If your inbox fills with requests to turn every problem into training, this book gives you a calmer way to diagnose first, then choose the response that fits the problem.
Dr. Ravinder Tulsiani has spent more than two decades in learning and development leadership. He is the founder of Catalyst Learning & Strategy and the author of Your Leadership Edge and The Domino Map. His work focuses on workforce capability and the practical use of AI in the workplace.
Dr. Ravinder Tulsiani is an independent advisor on AI-enabled work and workforce capability. He helps leaders decide what work should change, what humans must remain responsible for, what capability needs to be built or preserved, and what evidence should determine whether an initiative proceeds, gets redesigned, or stops. His work draws on more than two decades across learning and development, organizational effectiveness, and enterprise transformation, including eight years leading a 60,000-learner corporate function. He writes the Solve the Right Problem series on decision tools for leaders.