Work IQ dramatically improves meeting transcription accuracy, even outside Copilot.
The workflow: Record in-person meetings → Azure Speech Service for transcription + speaker diarization → AI agent generates minutes with Work IQ injecting business context.
When you feed it meeting timestamps plus historical context (emails, chats, docs, previous recordings), the system can infer "who's speaking" and "what they actually said" even when audio is unclear. 30-60 minute meetings generate enough conversational data for modern LLMs to nail contextual understanding with high precision.
Bonus: Adding screen recordings boosts accuracy even further. The key insight is leveraging accumulated business context as ground truth for ambiguous audio.
The workflow: Record in-person meetings → Azure Speech Service for transcription + speaker diarization → AI agent generates minutes with Work IQ injecting business context.
When you feed it meeting timestamps plus historical context (emails, chats, docs, previous recordings), the system can infer "who's speaking" and "what they actually said" even when audio is unclear. 30-60 minute meetings generate enough conversational data for modern LLMs to nail contextual understanding with high precision.
Bonus: Adding screen recordings boosts accuracy even further. The key insight is leveraging accumulated business context as ground truth for ambiguous audio.