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Year:

2026

Copilot

X Mariott

Project overview

Show how Marriott’s Bonvoy loyalty ecosystem can natively embed into Microsoft Copilot’s conversational interface, driving high-margin direct bookings, lowering distribution costs, and establishing Marriott as the premier "grounded" recommendation in AI-led decision journeys.

  • My Role: AI-Native UX Designer & Prototyper

  • AI- Native Workflow (48 Hours)

  • Tools: VS Code, GitHub Copilot, Copilot UI Skill

*This project is currently in an experimental pilot phase with limited access for initial testing only.

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We targeted high-value, frequent business travelers who prioritize speed, convenience, and loyalty recognition.

  • The Core Problem: Business travelers want to quickly rebook past hotels without searching through old emails or going through a multi-step filter process.

  • The Target Persona: Alex (38) — Frequent Solo Business Traveler & Bonvoy Titanium Elite Member

  • Motivations: Wants maximum efficiency; wants to instantly utilize his massive bank of Bonvoy points and see his elite status perks.

  • Conversational Trigger: "Hotels in Seattle"

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​Core User Journey

When Alex inputs his request, Copilot uses secure Connectors to act as a reasoning bridge, delivering a frictionless booking experience:

1.Query Parsing & Real-Time Grounding:

Copilot parses the query to identify intent (Recently stayed), destination (Seattle), and payment preference (Points). It uses Marriott's structured, machine-readable data (amenities, reviews, real-time pricing) to ground the response with accurate, citable information at inference time.

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2. Identity, Auth, & Connector Flow:

  • If Alex is not signed in, a secure Marriott Bonvoy sign-in flow pops up natively within the L2 canvas, avoiding external browser redirects.

  • Once authenticated, the Copilot Connector immediately displays his elite Titanium benefits (e.g., complimentary lounge access, available room upgrades) alongside live points pricing.

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3. Checkout

  • Alex completes his booking securely right inside the L2 task page, preserving complete brand continuity to the final click.

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Business Outcomes

We aim to kick off a strategic partnership exploration with Marriott to make Marriott the best-in-class hotel brand inside Copilot-led travel experiences, by enabling discovery, trust, personalization, loyalty, and checkout directly within Copilot-powered conversations.

The working web-based demo allowed stakeholders to witness a seamless direct booking flow in real-time, instantly shifting executive feedback from "Is this possible?" to "How soon can we ship this?".

Reflection: The 48-Hour "Vibe Coding" Workflow

To make this pitch irresistible to Marriott executives, a static deck wasn't going to cut it. I bypassed Figma entirely—trading vector-drawing for active building to craft a working, responsive prototype in record time. 

 

  • Used conversational chatbots to rapidly talk through the interaction logic, generate state-management scripts, and plan the L1-to-L2 transition states.

  • Native Implementation: Leveraged the official Microsoft Copilot UI System directly in VS Code to build the interface, ensuring 100% compliance with native canvas guidelines.

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