AI Assistance for Fly Delta
Fly Delta Redesign
Delta Air Lines remains a favourite among many, boasting a large base of loyal clients. All "SkyMiles" members are encouraged to download the Fly Delta app.
In this concept, I reimagined several core components of the app, refining existing flows and integrating innovative capabilities such as an AI‑powered assistant. These updates were guided by business goals: enhancing operational efficiency, increasing customer retention, and driving additional revenue by offering smarter, more responsive support within the Fly Delta app.
View Prototype
Objective
Redesign certain Fly Delta screens and add AI Assistance to reduce load on Airline staff and provide custom support.
Outcome
Designed modified flows to elevate trust, and seamlessly integrated an AI assistant prototype.
TIME PERIOD
Feb-May 2024
Scope of work
Visual Design for Mobile
UX for AI
Branding
AI Assistants
REDESIGN GOALS
The objective was to explore what drives deeper customer engagement and fosters long-term brand loyalty. This involved refining user flows and interface elements to create more intuitive, emotionally resonant interactions.
A key focus was integrating AI-driven features to align with evolving industry standards while reducing the load on reservation agents and airline support staff.
Some Numbers
Fly delta app
users
Reservation
agents
Calls per agent
per day
visual design FOR IMPACT AND TRUST
To captivate users from the outset, I employed bold, dramatic visuals designed to spark curiosity and wonder.
Transparency is a core principle in my design approach. In this redesign, I aimed to give customers a glimpse into Delta’s innovations through a dedicated space that highlights recent achievements and future goals, making the user feel like a part of the brand’s journey.
LEVERAGING AI TO ASSIST PASSENGERS
OUTCOMES and reflection
This project helped conceptualize the idea of a Delta Concierge 🔗.
There are 120 million SkyMiles members who may benefit from this assistant, helping improve customer interactions as well as reducing the load on reservation agents.
Many features in this proof of concept are forward-looking and depend on achieving high AI accuracy before being customer-ready. These concepts are currently undergoing rigorous validation and adaptation to ensure they are implemented safely and reliably.

















