Automatically extract tasks and decisions from meetings using speech-to-text + LLMs

Automatically extract tasks and decisions from meetings using speech-to-text + LLMs targets a $18.0B = 3M teams × $6K ACV total addressable market with medium saturation and a year-over-year growth rate of 18% YoY — based on enterprise collaboration and conversation intelligence adoption trends (industry reports from Gartner/McKinsey estimating 15-25% adoption growth for AI workplace tools).

Key trends driving demand: Hybrid and distributed work models are permanent — more meetings and a higher need to capture and action decisions automatically.; Open and commercial ASR plus LLMs have improved enough to enable reliable automated extraction of tasks and decisions, lowering engineering barriers.; Teams increasingly demand integrations that connect meeting outputs directly into execution systems (task trackers, CRMs), creating opportunities for closed-loop automation.; Enterprises now expect compliance, audit trails, and data retention controls, which favors vendors that can deliver security-grade meeting intelligence..