Speak AI + Float Integration

You're scheduling team hours in Float while media assets wait in Speak AI for transcription, so your resource allocations never quite match actual meeting workloads — this integration means every transcription automatically informs your scheduling timeline and your project capacity stays balanced.

You're manually copying action items from Speak AI transcripts into Float task lists, so critical project steps get delayed during busy sprint cycles — this integration means every automated transcription populates your project boards instantly and execution starts without lag.

You report on team utilization and media processing metrics across separate dashboards, so leadership reviews stale data during client debriefs — this integration means resource logs and transcription analytics stay synchronized in real time and executive reporting is always current.

You're tracking client feedback in Speak AI notes while managing billable hours in Float, so client sentiment shifts go unnoticed by resource planners — this integration means sentiment scores update your project records instantly and account risks are addressed immediately.

You depend on audio and video media being transcribed before task scheduling can begin, so production bottlenecks form whenever file handoffs stall — this integration means uploaded media triggers scheduling workflows automatically and your production pipeline keeps moving.

You audit logged time against project deliverables and keep finding gaps between tracked hours and completed media reviews, so billing accuracy suffers — this integration means every time entry links directly to verified transcript records and invoicing audits become effortless.