quality_assurance · saas · workflow
PetDesk raises Guru knowledge verification score from 76% to 85% with quality automation
After years of growth through acquisitions, PetDesk's Guru workspace held duplicate and conflicting documentation across merged teams, and the unverified queue was so cluttered with timed-out cards that experts stretched thin could not identify the content that actually needed updating.
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 · Default quality rules activated
Guru's default quality rules were turned on and initial results were visible within 24 hours.
Tools used
GuruKnowledge Agent
Outcome
Guru quality automation raised PetDesk's verification score from 76% to 85%, cleared the unverified queue of noise so it reflects real gaps, consolidated eight duplicate risk management cards into one cohesive process, and prompted stakeholders who had not engaged with Guru in years to take ownership of their content.
Results
Volume76% to 85%
Grounding & classification
Source type: vendor customer story
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enterprise searchknowledge searchknowledge basefailure mode describedhuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedsoftwareaccuracy improvementemployee productivityvendor customer storyback office opsquality assurancehuman review queuemonitor detect alert