AI-Enabled Design
Thoughtful AI-enabled workflow design advocates for systems that help users connect the dots, using AI to surface patterns, relationships, and implications that would otherwise be buried in complex data. My work applies AI thoughtfully to provide clarity, and support confident action, without replacing the human.
Examples
The following examples highlight my approach to designing AI-enabled workflows. Each focuses on helping users connect the dots, make informed decisions, and act with confidence within real-world systems. Click on them to view them larger.
A digital twin, powered by agentic AI and complex datasets.
This AI-enabled digital twin supports airline operations teams by helping them connect data across systems and understand the downstream impact of disruptions. By combining real-time alerts, geospatial flight data, and operational metrics, the system uses AI to surface patterns, impacts, and tradeoffs across flights, resources, and costs. Users can explore affected flights, run simulations, and evaluate scenarios to support informed, time-sensitive decisions all powered by AI.
This AI-enabled digital twin interface combines an interactive, real-time flight map with a conversational assistant that allows users to explore operational conditions through natural language. The chatbot acts as a control layer, helping users surface impacted airspace, assess disruption risk, and run simulations while the map provides continuous spatial context; supporting situational awareness, sense-making, and faster operational decisions in complex airline environments.
A smarter chatbot for modern airlines.
This interface supports AI-enabled autonomous drone operations, allowing operators to plan, monitor, and intervene across the full mission lifecycle. It combines mission planning, real-time vehicle state, and regulatory flight data with contextual maps and charts, enabling operators to validate routes, alternates, and constraints while autonomy is engaged. The design emphasizes human oversight, clarity, and safe intervention in a complex, safety-critical system.
AI beyond chatbots: an autonomous aircraft
This conversational AI interface provides a direct, interactive way for users to ask questions and explore domain-specific information. Designed for clarity and reliability, it supports natural language queries, structured responses, and persistent context across conversations, allowing users to retrieve explanations, status updates, and reference data efficiently. The focus is on clear communication, predictable behavior, and trust in everyday AI-assisted workflows.