Dealing with rapidly spreading wildfires is a complex task that involves the coordination of multiple government agencies and on-site crews. We explore how AI can help improve our decision making in these complex and uncertain dynamic environments. To this end we are developing "Wildfire Whisperer," an AI agent that uses a Dual-System Machine Learning approach to learn from its users and in turn help them to make more robust decisions based on deep knowledge combined with quick responses. We are exploring combining the visualization and AI the agent within Unity to make a stand-alone system.