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.”
Mott MacDonald's Enterprise search is part of this use case:
Global engineering, management, and development consultancy for infrastructure.
Enterprise software, cloud infrastructure, and consumer electronics platform.
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.
Consultants spent hours trawling documents. AI agents now synthesize scattered data into cited briefings in 8 seconds.
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.
Rigid filters forced buyers to act like admins. Now, they describe a "cottage feel," and AI scans millions of listings to find a match.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.
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.”
Mott MacDonald's Enterprise search is part of this use case:
Global engineering, management, and development consultancy for infrastructure.
Enterprise software, cloud infrastructure, and consumer electronics platform.
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.
Consultants spent hours trawling documents. AI agents now synthesize scattered data into cited briefings in 8 seconds.
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.
Rigid filters forced buyers to act like admins. Now, they describe a "cottage feel," and AI scans millions of listings to find a match.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.