AI-Powered Meeting Intelligence
Designing an AI-assisted system for live meeting transcription, summaries, and governance in regulated enterprise environments.
Context
Enterprise teams rely heavily on meetings, yet most organizations struggle with manual note-taking, inconsistent summaries, and post-meeting follow-ups. In regulated industries, this becomes a governance and compliance risk.
Role
UX Designer — I led the end-to-end experience design, from information architecture to interaction patterns for AI-assisted workflows.
Duration
2-week design sprint. Rapid concept, UI design, and interactive prototype built in Figma.
Key Problems
- Meetings generate large amounts of unstructured information
- Manual note-taking is inconsistent and error-prone
- No clear ownership of post-meeting actions
- Compliance and governance checks happen too late
Design Approach
- Live transcription with speaker identification
- AI-generated summaries focused on decisions and action items
- Clear separation between meetings, events, and archives
- Built-in governance and compliance checks
Impact
- ✅ Reduced manual documentation effort after meetings
- ✅ Improved clarity of decisions and action items
- ✅ Increased trust in AI-assisted summaries
- ✅ Earlier visibility into compliance risks
Reflection
This project reinforced how important trust and clarity are when designing AI-assisted systems. In enterprise environments, transparency matters more than automation speed.