Employees hunted through 100M files scattered across SharePoint, Teams, and Procore. Now answers surface in seconds—agents handle the rest.
A construction firm with more than 160 years of history building hospitals, data centers, and government facilities across nearly every U.S. state, with project scales ranging from under $1 million to over $1 billion and approximately 4,000 employees across offices and active jobsites.
With 100 million files dispersed across SharePoint, Microsoft Teams, Procore, and other enterprise systems, critical project records, policies, and...
“Everything just kept being a light lift.”
Commercial construction and infrastructure building company.
AI-powered enterprise search and assistant platform for workplace knowledge.
McCarthy Building Companies's Enterprise knowledge search is part of this use case:
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Employees hunted through 100M files scattered across SharePoint, Teams, and Procore. Now answers surface in seconds—agents handle the rest.
A construction firm with more than 160 years of history building hospitals, data centers, and government facilities across nearly every U.S. state, with project scales ranging from under $1 million to over $1 billion and approximately 4,000 employees across offices and active jobsites.
With 100 million files dispersed across SharePoint, Microsoft Teams, Procore, and other enterprise systems, critical project records, policies, and...
“Everything just kept being a light lift.”
Commercial construction and infrastructure building company.
AI-powered enterprise search and assistant platform for workplace knowledge.
McCarthy Building Companies's Enterprise knowledge search is part of this use case:
Related implementations across industries and use cases
Scattered expertise across 40 engineering topics slowed global teams. Now, an AI agent instantly surfaces secure, curated best practices.
Acquisitions scattered critical data across 36+ companies. Now, a principal AI agent routes employee queries to specialized sub-agents.
Siloed data and anxiety held back adoption. HR’s "Middle Out" strategy unified systems, turning scattered docs into trusted answers.
Scattered expertise across 40 engineering topics slowed global teams. Now, an AI agent instantly surfaces secure, curated best practices.
Acquisitions scattered critical data across 36+ companies. Now, a principal AI agent routes employee queries to specialized sub-agents.
Skilled lawyers buried in routine paperwork across 50+ countries. Now AI handles the volume; specialists focus on the judgment work.
A fragmented tech stack created cumbersome workflows for agents. Now, AI automatically routes cases, slashing first response time from 144 to 34 mins.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.
Admin tasks bogged down 364k consultants. Copilot now drives 40M+ actions, reclaiming $150M in time for client advisory.