back_office_ops · saas · workflow
Earmark achieves 83% cost reduction and unlimited scalability with AssemblyAI
Earmark needed a speech-to-text solution capable of unlimited concurrent streaming with sustainable economics and enterprise-grade privacy, as real-time transcription was the foundation of its entire PM platform.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Live PM meeting begins
A product manager enters a live stakeholder meeting or conversation that the platform will process in real time.
Tools used
AssemblyAI
Outcome
Earmark achieved an 83% reduction in streaming costs, the ability to handle 100+ concurrent streams without performance degradation, and a 4-day implementation, enabling sustainable unit economics and worry-free scaling.
Results
Time saved$0.15 per hour
Volume100+
Cost replaced83%
Grounding & classification
Source type: vendor customer story
28 fields verified against source quotes.
agentic workflowcontent generationspeech to textsummarizationmeeting recordingmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedsoftwarecost reductionemployee productivitythroughput increasetime savedvendor customer storyback office opsagentic task executionmeeting to artifacts