End calendar back-and-forth — natural-language AI schedules meetings automatically

End calendar back-and-forth — natural-language AI schedules meetings automatically targets a $6.0B = 30M businesses × $200 ACV (annual scheduling/assistant spend per business) total addressable market with high saturation and a year-over-year growth rate of 13% YoY (productivity & SaaS adoption + AI assistant adoption accelerating demand).

Key trends driving demand: AI-first productivity — improvements in LLMs and embeddings make natural language scheduling accurate enough for end users, creating an opportunity to replace manual flows.; Hybrid work increases meeting volume — distributed teams and more external meetings raise demand for automation that reduces scheduling overhead.; Platform integration expectation — customers increasingly expect calendar tools to work seamlessly with Google and Microsoft ecosystems and with video conferencing apps.; Multi-modal interaction acceptance — voice and chat interfaces are more acceptable for business workflows, enabling new interaction models beyond links and forms..