<p>Understanding the complex dynamics of landslides is crucial for disaster planners to make timely and effective decision that saves lives and reduces the economic impact on society. Using the landslide inventory of Chittagong Metropolitan Area (CMA), we created a new Artificial Intelligence (AI) based insight system for the town planners and senior disaster recovery strategists of Chittagong, Bangladesh. Our system generates dynamic AI-based insights for a range of complex scenarios created from 7 different landslide feature attributes. The users of our system can select a particular kind of scenario out of the exhaustive list of 1.054X10<sup>41</sup> possible scenario sets and our AI-based system will immediately predict how many casualties are likely to occur based on the selected kind of scenario. Moreover, an AI-based system shows how landslide attributes (e.g., rainfall, area of mass, elevation, etc.) correlate with landslide casualty by drawing detailed trend lines performing both linear and logistic regressions. According to literature and the best of our knowledge, our CMA scenario-based AI insight system is the first of its kind providing the most comprehensive understanding of landslide scenarios and associated deaths and damages in CMA. The system was deployed on a wide range of platforms including Android, iOS, and Windows systems so that it could be easily adapted to strategic disaster planners. The deployed solutions were handed down to 12 landslide strategists and disaster planners for evaluations whereby 91.67 % of users found the solution easy to use, effective and self-explanatory while using via mobile.</p>