Workplace OS
JLL's facility management tools each solve part of the problem, from separate apps that share the same data. Workplace OS brings them into a single platform for facility managers, technicians, and customers, where an AI agent orchestrates across the existing products and surfaces data by prompt and through proactive insights, instead of people moving between apps. The first proof of concept focused on account health: users already track indicators and needed one dedicated place to turn them into action.
Company
JLL
Role
Design Lead
Timeline
2025
Decisions
Making the vision testable. My job was to turn the vision from leadership, business, and PMs into something people could test, so I contributed to internal pitches and prototyped ideas that were still ambiguous.
From a sit-back dashboard to chat. We started with a dashboard experience and moved toward a chat-based interface. The early design opens on insight cards, items that need attention, and a chat input. Answers carry their data sources and date range, and a canvas opens beside the thread for charts.
Research redirected the concept to action. I tested the early design with facility managers from small to large accounts, all Corrigo power users. The cross-platform value was not yet coming through, and a view-only experience added a step rather than removing one. The findings set the next direction: make the difference from existing products clear, let people act inside the platform, filter data by role, and plan a trust-building period before managers share Workplace OS data with their clients.
Outcome
This was early-phase work, and I led its design as Design Lead: internal pitches, prototypes, the early user experience, and the usability research. Testing with facility managers redirected the concept from a view-only dashboard to in-app action.
Screens
Proposal screens for an insights dashboard with detail views on wellbeing and people trends, AI recommendations, and attrition themes. Then the early design: a landing page with insight cards and a chat input, chat threads with suggested prompts, a loading state, and responses with sources, a split view with a data canvas, and tablet and mobile layouts.
The screens are behind a password
The screens for this and the other case studies are shared with the people I am talking to. The password is in the resume I sent with my application. If you do not have it, ask me for it.