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An ongoing concierge relationship.

Aurora is a concept exploring how AI and human specialists could work together to create a premium lifestyle concierge experience. Rather than designing another travel booking app, I explored what it would feel like to delegate an entire experience—from intent and planning to execution and live support—to an intelligent personal assistant.
The project focuses on designing trust. Instead of exposing complex AI processes, the experience makes progress visible through specialised agents that search, verify availability, coordinate logistics and curate personalised recommendations before presenting a seamless plan for approval.
An AI-powered concierge experience that brings intelligent automation and human specialists together to plan and manage highly personalised experiences.


THE CHALLENGELuxury concierge is inherently high-touch. Customers expect the service to understand their preferences, anticipate what they need and coordinate multiple people and services without making them manage the complexity themselves.
The challenge was not simply:
“How might AI help someone plan a trip?”
It was:
“How might AI and human specialists work together behind the scenes
while giving the customer one simple, trusted experience?”
THE PRODUCT CONCEPT
Rather than asking customers to search through endless options, Aurora starts with intent and handles the complexity behind the scenes.
AI recommends, coordinates and surfaces context while specialists exercise judgement where expertise matters.
Progress happens quietly in the background. Attention is requested only when a genuine decision is needed.
ONE ECOSYSTEM, TWO EXPERIENCES
I wasn’t designing two independent products. I was designing two views into the same service.
01
The customer expresses intent, receives reassurance and is brought back in only when a decision is needed.

Intent
Aurora Intelligence
Specialist
02
The specialist sees the context, constraints, recommendations and coordination needed to make a high-quality decision.

THE EXPERIENCE JOURNEY
An ongoing concierge relationship.

Express what you want naturally.

Aurora understands the occasion, dates, preferences and relationship context.

AI and specialists work together behind the scenes.

A coherent experience emerges from the orchestration.

One meaningful decision instead of dozens of micro-decisions.

Aurora handles execution.

Practical detail appears when it becomes useful.

DESIGNING AN AI THAT UNDERSTANDS CONTEXT
Aurora doesn’t treat the customer’s message as an isolated prompt.
It recognises the occasion, dates and preferences, considers Catherine’s profile and then translates that context into three distinct experience directions.
Instead of returning an endless list of hotels and restaurants, the system helps the customer make a higher-level decision first.

HUMAN EXPERTISE, ORCHESTRATED BY AI
Behind the customer experience, specialists need enough context to make
high-quality decisions without repeatedly asking the customer for information
Aurora already knows.

01
Occasion, pace, preferences and relationship context are surfaced before curation begins.
02
Aurora Intelligence shows match scores and why an experience fits the customer.
03
Specialists verify availability, assess alternatives and confirm the final selection.
THE APPROVAL MOMENT
Aurora works in the background until everything is ready. The customer is then brought back in with a simple notification and a consolidated proposal covering flights, stay, dining, experiences and logistics.
Pricing remains transparent, but the experience avoids feeling like a traditional travel checkout.



KEY SCREENS







DESIGN SYSTEM
I created a lightweight design system to give Aurora a consistent
product language across the customer and specialist experiences —
balancing the warmth and editorial character of luxury hospitality
with the clarity required of an AI-powered product.

01
A warm gold accent creates a sense of understated luxury against deep, near-black surfaces. Supporting colours are used intentionally for status, progress and system feedback.

02
Editorial serif typography brings warmth and personality to moments of discovery, while a clean sans-serif supports functional UI, conversation and complex information.

03
Shared radii, surfaces and reusable components create consistency across mobile and specialist interfaces, while allowing each experience to respond to its different context and information density.
WHAT I WAS REALLY DESIGNING
The interesting design problem wasn’t how Aurora should talk. It was how the product should understand intent, retain context, coordinate people and systems, communicate progress, surface decisions and ultimately make a complex premium service feel effortless.
✦
Customers express intent rather than manually assembling solutions.
◎
AI supports specialists rather than pretending expertise can always be automated.
→
Attention is requested only when a genuine decision is needed.
TOOLSFigma
FigJam
AI-assisted ideation
Interactive prototyping