it_support · saas · workflow
SafetyCulture uses Glean to cut search times by 50% and become AI-first with Agent Builder
During rapid growth, a 50% increase in engineering staff and new tools created organizational and productivity challenges at SafetyCulture; an internal survey identified knowledge search as the biggest culprit, with data spread across multiple applications and knowledge siloed. Engineers were spending up to four hours a week manually searching for content.
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 · Survey identifies search problem
An internal survey revealed knowledge search as the biggest productivity culprit during a period of rapid growth.
Tools used
GleanAgent BuilderJira · partnerGithub · partner
Outcome
Implementing Glean immediately cut search times by 50% and it became the company's default native search solution. Agents built with Agent Builder save engineers 30–40 minutes per performance review, and cover use cases from debugging to marketing intelligence.
Results
Time saved50%
Volume1.5 hours per week
Grounding & classification
Source type: vendor customer story
32 fields verified against source quotes.
agentic workflowai agententerprise searchknowledge searchsummarizationknowledge basemeeting recordingmetric backednamed customerproduction runtime claimedtools describedworkflow describedsoftwarecycle time reductionemployee productivitytime savedvendor customer storycustomer supporthr opsit supportmarketing opsagentic task executionrag answering