quality_assurance · workflow
Smith.ai saves 250+ hours weekly with Zapier automation for call quality and feedback triage
Reviewing thousands of daily client calls manually was unsustainable for coaching quality at scale, and delays in responding to customer feedback risked client satisfaction.
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 · Daily calls trigger quality review
Thousands of daily client calls require quality coaching review.
Tools used
ZapierClickUpCustomer Thermometercustom JavaScript
Outcome
Smith.ai saves 250+ hours weekly through automated silence detection in call transcriptions and routes low feedback scores in real time, preventing escalations and improving customer experience.
Results
Time saved250+
Volume1000+
Grounding & classification
Source type: vendor customer story
23 fields verified against source quotes.
call recordingmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedprofessional servicescustomer satisfactionresponse time reductiontime savedvendor customer storycustomer supportquality assuranceextract classify routemonitor detect alert