PROJECT OVERVIEW

The AI Combo Tool enables promoters and Business Developers to create branded food-and-beverage promotional assets without relying on external creative agencies.

Users can upload a photo of a dish or venue, select a beverage, add promotional details and use generative AI to produce a ready-to-review combo menu. The experience guides them from content creation to approval, production and performance tracking.

PROJECT SCOPE

Owner: Coca-Cola HBC
Role: Lead UX/UI Designer and sole designer responsible for the end-to-end product experience.
Project type: Enterprise B2B product · Generative AI · Human–AI Interaction · New product development · MVP pilot
Deliverables: Co-design workshops · Design Sprint · User journey · User flows · Wireframes · Interactive prototypes · UI design · AI interaction patterns · Validation and fallback states · Development-ready designs
Tools: Miro, Figma, Lovable,
Status: The first live MVP was delivered ( Early 2026 )

STORY

The initial idea came directly from the end users. Creating promotional combo menus required multiple exchanges with external creative agencies, making the process time-consuming for Business Developers and expensive due to high production costs.

My role was to refine the Business Developers’ needs and work with the Innovation Lab team to transform their initial idea into a complete digital product.

UX Solution

The AI Combo Tool enables promoters and Business Developers to generate branded food-and-beverage visuals using uploaded images and text prompts.

The main design challenge was not simply adding AI to the workflow, but creating an experience that balanced:

creative freedom with brand consistency;
automation with human control;
speed with content quality;
local flexibility with global governance.

I led the end-to-end UX design, transforming generative AI into a guided workflow with validation and approval steps. The first live MVP was delivered in four months.

“Designing the AI Combo Tool was not simply about automating content creation, but about balancing creative freedom with brand governance and human control.”

The Approach

I followed a collaborative, user-centred approach to refine the Business Developers’ initial needs and turn them into a feasible product experience. I facilitated co-design workshops and a Design Sprint with end users, business stakeholders, architects and developers.

Together, we mapped the end-to-end journey, prioritised the MVP features and defined how users would generate, refine, validate and approve AI-created assets. The solution was iteratively prototyped and tested to balance user autonomy, technical feasibility, content quality and brand governanc

ROLE

I led the UX process from early discovery to development-ready designs, working closely with promoters, Business Developers, the Product Owner, business stakeholders, architects, developers and AI experts.

As the sole UX designer on the project, I was responsible for:

planning and facilitating co-design workshops;
leading a Design Sprint;
mapping the end-to-end creation and approval journey;
translating AI capabilities and limitations into understandable interactions;
designing prompt-based and image-upload flows;
defining validation, feedback and recovery states;
creating prototypes and testing the experience with users;
Delivering the final UI in compliance with the CCH Design System and supporting its implementation

Outcome

The project resulted in a complete end-to-end experience, from inspiration and input collection to AI-powered customisation, client validation, approval and delivery. The solution allows Business Developers to generate, refine and reuse branded promotional assets within one guided workflow, reducing manual coordination and supporting faster, more consistent content creation.

Key Activities

I facilitated collaborative workshops to refine user needs, mapped the existing and future workflows, and designed the AI experience across each stage of the journey. I defined the interaction between users and the AI agent, including image upload and selection, generation, editing, comparison, quality checks, approval and feedback loops. These insights were translated into user flows, prototypes and development-ready interfaces.

What Made the Difference

The Combo Tool is more than an AI image generator: it combines dynamic UI, contextual guidance and human-in-the-loop controls within a governed business process. Users remain in control by reviewing, editing, regenerating and approving outputs, while the system supports brand consistency, content quality and the reuse of previous assets and learnings.

Combo Tool