How SafetyCulture Uses Glean to Halve Search Time and Go AI-First

SafetyCulture operates one of the world’s most widely used workplace operations platforms, delivering more than a billion checks per year and 85,000 lessons daily to 2 million users in 180+ countries. Its products help frontline teams report issues, capture data, manage risk, and improve continuously. Running a platform at that scale requires its own internal teams to operate with the same precision it promises its customers — which made the company’s internal knowledge problem particularly urgent.

When SafetyCulture’s engineering headcount grew by 50% in a short window, the knowledge systems that had worked for a smaller team began to break. Information was scattered across multiple applications, expertise was siloed by team, and employees reported spending significant time each week just trying to locate what they already knew existed somewhere. An internal survey confirmed the scale of the problem: knowledge search ranked as the single biggest productivity drain across the company. SafetyCulture considered building an in-house solution but rejected it quickly — pulling engineers off the core product to build internal tooling would have traded one problem for another.

SafetyCulture selected Glean as its enterprise search platform and progressively expanded into Glean’s Agent Builder. The Agent Builder allowed any employee — not just engineers — to construct, test, and share AI agents built on top of the company’s connected data. Teams moved quickly: within months, SafetyCulture had built agents for meeting summarization, PRD review, employee performance summaries, product feature questions, engineering debugging, and GTM and support queries. Each agent drew on live company data through Glean’s connectors, eliminating the need to hunt across tools.

The quantitative impact landed quickly. Engineers who had spent up to four hours per week searching for information saw that time cut by 50% after Glean went live. The Performance Highlights Agent saves each engineer 30 to 40 minutes per review cycle by automatically pulling achievements from Jira, GitHub, and meeting notes. Across all employees, the average time saved on information searching is 1.5 hours per week. In internal surveys, over 90% of Glean users said they would recommend it as a standard tool and would be disappointed if the company stopped using it.

SafetyCulture is now building on this foundation as an explicitly AI-first company. Internal events promote employee confidence with AI, new processes — including PRD development — are being standardized around Glean’s tools, and the Agent Builder has become a capability the whole company shares rather than a specialty confined to technical teams. With Glean’s governance features and cloud-hosted deployment handling data access controls, the company has the infrastructure to continue expanding its AI footprint without sacrificing the security standards a global enterprise platform demands.