McCarthy Holdings transforms dispersed construction knowledge into AI-powered advantage with Glean
With 100 million files spanning decades, critical information — policies, procedures, project records, material specifications, historical data — was dispersed across SharePoint, Microsoft Teams, Procore, and other systems. Employees lost time searching for answers that existed somewhere in the organization but weren't readily reachable.
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 · Employee information need
Employees searching for critical information face a growing challenge across many distributed tools.
Tools used
GleanMicrosoft Copilot
Outcome
McCarthy estimates a conservative two hours saved per employee per week company-wide, with corporate adoption reaching 90% and field and operations teams nearly 60%. Their most-used agent logged more than 40,000 runs in its first two months, and an agent has helped human counterparts review more than $2.7 million in change orders.
What failed first
McCarthy evaluated Microsoft Copilot as part of a broader push toward AI-powered knowledge access, but found its search and retrieval experience opaque and lacking the LLM flexibility and user experience the team envisioned.