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.
Strict compliance held back AI for 12,000 staff. A secure internal platform now safely queries docs, cutting media response time by 50%.
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.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
A fragmented tech stack created cumbersome workflows for agents. Now, AI automatically routes cases, slashing first response time from 144 to 34 mins.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
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.
Strict compliance held back AI for 12,000 staff. A secure internal platform now safely queries docs, cutting media response time by 50%.
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.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
A fragmented tech stack created cumbersome workflows for agents. Now, AI automatically routes cases, slashing first response time from 144 to 34 mins.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.