customer_support · workflow
One Erewhon employee builds a 39-step AI workflow that automates customer service across 10 stores
Erewhon's 10 Los Angeles stores each managed their own HelpScout inbox entirely manually, with no way to prioritize high-value members or maintain consistent response quality, leaving the team spending over 20 hours per week on repetitive ticket responses.
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 · Ticket arrives in HelpScout
A customer service ticket arrives, initiating the automated workflow.
Tools used
Help ScoutChatGPTBigQueryvector store
Outcome
The workflow achieved 70 percent of AI-drafted responses sent without human modification, saved 1,500 labor hours per year, and delivered approximately $40K per year in equivalent labor cost savings.
Results
Time saved1,500
Volume70 percent
Cost replaced~$40K
Grounding & classification
Source type: vendor customer story
28 fields verified against source quotes, 2 dropped as unverifiable.
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