Scattered expertise across 40 engineering topics slowed global teams. Now, an AI agent instantly surfaces secure, curated best practices.
A global engineering consultancy with a workforce of 20,000 employees spanning more than 150 countries.
Disconnected expertise and time-consuming information searches made it difficult to disseminate technical best practices across more than 40 complex...
“By architecting EMMA on Microsoft, we could accelerate our time to market while leveraging the existing infrastructure underpinning our organization’s security model. We knew that our data was protected and governed appropriately and we could meet data governance requirements.”
Global engineering, management, and development consultancy for infrastructure.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Mott MacDonald's Enterprise search is part of this use case:
Related implementations across industries and use cases
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.
Employees hunted through 100M files scattered across SharePoint, Teams, and Procore. Now answers surface in seconds—agents handle the rest.
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.
Human sales teams clock out; buyers don't. Voice agents, accent-matched by region, now qualify and book site visits around the clock.
Surging delinquency burdened staff. Now, an AI assistant handles routine collections, freeing teams for high-touch, in-person engagement.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Scattered expertise across 40 engineering topics slowed global teams. Now, an AI agent instantly surfaces secure, curated best practices.
A global engineering consultancy with a workforce of 20,000 employees spanning more than 150 countries.
Disconnected expertise and time-consuming information searches made it difficult to disseminate technical best practices across more than 40 complex...
“By architecting EMMA on Microsoft, we could accelerate our time to market while leveraging the existing infrastructure underpinning our organization’s security model. We knew that our data was protected and governed appropriately and we could meet data governance requirements.”
Global engineering, management, and development consultancy for infrastructure.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Mott MacDonald's Enterprise search is part of this use case:
Related implementations across industries and use cases
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.
Employees hunted through 100M files scattered across SharePoint, Teams, and Procore. Now answers surface in seconds—agents handle the rest.
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.
Human sales teams clock out; buyers don't. Voice agents, accent-matched by region, now qualify and book site visits around the clock.
Surging delinquency burdened staff. Now, an AI assistant handles routine collections, freeing teams for high-touch, in-person engagement.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.