lead_processing · saas · workflow
WhatConverts achieves over 50% cost savings with AssemblyAI
WhatConverts needed the highest-accuracy Speech-to-Text API to power reliable lead ranking from phone call transcripts, and faced cost pressure with previous big-tech providers.
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 · Phone call lead received
Phone call leads come into WhatConverts' call tracking platform.
Tools used
AssemblyAISpeech-to-Text APIPCI (PII) Redaction
Outcome
After switching to AssemblyAI, WhatConverts achieved up to 10% improvement in transcription accuracy and 50-60% cost savings versus big-tech providers, while gaining PII/PCI redaction to protect personal information in transcripts and audio.
Results
Volumeup to 10%
Cost replaced50-60%
Grounding & classification
Source type: vendor customer story
20 fields verified against source quotes.
speech to textcall recordingmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedsoftwareaccuracy improvementcost reductionvendor customer storycall center ailead processingextract classify route