Designing a platform for AI Agents to offload 911 calls for emergency responders

I worked with dispatchers to design a platform to handoff non-emergency calls between human operator and AI agent. Won the largest AI hackathon in the world and received $68,000 in grants from Skydeck, Intel, and OpenAI.

Role

Co-Founder
Product Design

Duration

10 months

Team

3 Engineers
1 Designer

Results

Grand Prize, world's largest AI Hackathon
$68,000 investment
Berkeley Skydeck Pad-13

winning the largest AI hackathon in the world

Dispatch AI started from a spontaneous trip with 3 friends at the Berkeley AI Hackathon. We won the Grand Prize and $18,000 in credits from Intel and OpenAI. Post-Hackathon, we decided to take this project further and launched a venture with Berkley Skydeck with $50,000 in investment. I worked as the solo designer.

shipped

I designed V1 of Dispatch in under 36 hours at a hackathon. I built out the entire platform afterwards.

+ fully equipped design system
+ full emergency response platform: incident monitoring, call handling, data analysis, and logging
+ database management system: built new data processing pipeline for real-time call handling
+ event forecasting model: custom-trained model on historic call data

final design

the operational loop

The system has two separate agents: 1) the human agent (dispatcher) takes emergency calls. 2) the AI agent handles non-emergency calls.

I designed Dispatch on a continuous operational loop that decides which agent should “take over” at each decision point (see model design for more details). Each session data is logged to inform future decisions.

01 live incident monitoring

Operationalize transcripts by supporting live language translation and dynamic script recommendations. Trained on 1000s of emergency call data.

02 Alerting UI

Currently the calls themselves act as alerts. Stored alerts with all details and checklists into a central pane-of-glass.