customer_support · ecommerce · workflow
Faire restores knowledge base Trust Score from 76% to 96% with Guru quality automations
Faire's CX knowledge base suffered from low trust scores and hundreds of unverified cards, forcing Carly Byrge to spend six hours a week on manual verification. Because content felt unreliable, agents stopped using Guru and came to Carly directly, blocking adoption of Knowledge Agent chat and Slack-based auto-answers.
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 · Unverified cards accumulate
Hundreds of unverified cards await review in the knowledge base.
Tools used
GuruKnowledge AgentCX Policy AssistantQuality Log
Outcome
Enabling Guru quality automations raised Faire's Trust Score from 76% to 96% — a 20% gain — while cutting Carly's weekly verification work from six hours to less than an hour, returning 5+ hours per week and unblocking Knowledge Agent chat and Slack auto-answer adoption.
Results
Time saved5+ hours back per week
Volume20%
Grounding & classification
Source type: vendor customer story
31 fields verified against source quotes.
conversational aidocument classificationknowledge searchknowledge basepolicy documentfailure mode describedhuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedecommerceaccuracy improvementemployee productivitytime savedvendor customer storyback office opscustomer supportai draft human approvalhuman review queue