WORKSHOP // ARCHITECTURAL INTELLIGENCE: AI WORKFLOWS WITH xFIGURA & ZHA

A hands-on workshop on AI-driven concept design by xFigura in collaboration with ZHA. Part of London Creates 2026.

Step inside the design process of one of the world's leading firms. In this hands-on session, xFigura and ZHA will take you from a sketch, screenshot, or physical massing model to a finished AI render, live, in the room.

You'll learn about the key models and how to build AI workflows for concept design. You'll also have the chance to test those workflows on a physical massing model built for the exhibition, taking it from form to high-res or abstract renders, visuals, and video.

This is a working session, not a lecture. You'll leave understanding how AI actually fits into early-stage design, and with a workflow you've built yourself.

The Session (five parts)

• Introduction. Who we are, how ZHA uses xFigura in practice, and an intro to the platform and AI concept-design workflows.

• Short Exhibition tour. Explore the real time physical massing model installation built for the AI section of the exhibition.

• Workflow overview. A walkthrough of the core workflows you'll be using.

• Hands-on. Individually build your own renders, visuals, and video from a massing model, from high-res to abstract.

• Q&A. Open floor with the xFigura and ZHA team.

What You'll Get

• Hands-on time building real AI concept-design workflows

• A finished workflow you've built yourself, from sketch or massing model to render

• Free xFigura credits for every participant

• A physical massing model taken from form to high-res and abstract renders, visuals, and video

• Direct access to the xFigura and ZHA teams

Who Is This For?

• Architects and future architects

• Industry leaders, professionals, and students

• Anyone curious how AI fits into early-stage and concept design

Open to all. Bring a laptop if you'd like to work hands-on (optional).

Led By

George Guida (Founder & CEO, xFigura), Daniel Escobar (Head of R&D, xFigura), Clemens Lindner (Design & AI Researcher, ZHA), Jianfei Chu (ZHA Code), Jamil Al Bardawil (ZHA Code)