AI at Enterprise Scale by Mercedes Benz.

Designed an early AI-native mobility ecosystem for Mercedes-Benz R&D exploring how autonomous systems, connected services, and contextual intelligence could coordinate in real time across transportation, logistics, home automation, and workplace environments.

The project focused on reducing operational friction through proactive system orchestration — years before agent-based AI workflows became mainstream.

My role

Creative Direction

UX/UI Design

Interactions

Client

Mercedes-Benz Research and Development North America

Scenarios

Each POI (Point of Interest) has their own AI persona communicating with the car and also between each other.

Home

The Home informs the driver once the car is ready according to his standards, broadcasts traffic information, disconnects devices when the car leaves home, and re-connects them when the car arrives.

Office + Delivery

The Office is notified by the Delivery service when a package is received via the trunk of the car.

School

The School sends a notification to the car if soccer training finishes earlier than usual.

Coffee Shop

The Coffee Shop receives an order from the car and notifies the driver that their coffee is ready for pickup and the payment has been received.

Beach

The Beach notifies the car about the surf forecast. The car then notifies the driver about the great surf conditions and asks if they would like to send an excuse to their boss for arriving late at the office.

Geo-Fence

Intuitively Intelligent

Every time the car approaches the Geo-fence, the car reconnects all devices. When the car leaves the Geo-fence, the driver is notified about the option to turn off devices in the home.