Supply chain bottlenecks often took days to resolve. After hands-on AI hackathons, upskilled workers now fix these issues in minutes.
A consumer-packaged goods manufacturer producing thousands of products daily across more than 30 facilities for iconic brands like Orville Redenbacher’s and Slim Jim.
The organization needed to demystify artificial intelligence for its 15,000 employees while ensuring strict governance and security protocols....
“We are touching people’s lives on a daily basis. Every day, we produce and distribute thousands of different products, sourced from more than 30 manufacturing facilities across our network.”
Packaged food company producing consumer brands for retail and foodservice.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Conagra Brands's Workforce training is part of this use case:
Related implementations across industries and use cases
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
A dev backlog slowed AI rollout. Now, 7,000 staff build their own agents with no-code tools, saving 20,000 hours monthly.
Repetitive queries bottlenecked HR. Now, a multilingual AI gives 4,500 factory and office staff 24/7 mobile access to HR guidelines.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Proprietary AI was isolated to data scientists. A global academy now empowers 40,000 employees to embed AI into their daily workflows.
Testing physical prototypes delayed evaluations by weeks. Now, researchers use AI consumer personas to simulate product trials in hours.
Peak season required 300 temps to manage 9,000 daily cases. An AI agent now handles the volume across 19 countries with zero backlog.
Routine queries burdened HR. Now, an AI WhatsApp agent instantly answers remote factory workers, escalating complex issues to HR.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Supply chain bottlenecks often took days to resolve. After hands-on AI hackathons, upskilled workers now fix these issues in minutes.
A consumer-packaged goods manufacturer producing thousands of products daily across more than 30 facilities for iconic brands like Orville Redenbacher’s and Slim Jim.
The organization needed to demystify artificial intelligence for its 15,000 employees while ensuring strict governance and security protocols....
“We are touching people’s lives on a daily basis. Every day, we produce and distribute thousands of different products, sourced from more than 30 manufacturing facilities across our network.”
Packaged food company producing consumer brands for retail and foodservice.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Conagra Brands's Workforce training is part of this use case:
Related implementations across industries and use cases
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
A dev backlog slowed AI rollout. Now, 7,000 staff build their own agents with no-code tools, saving 20,000 hours monthly.
Repetitive queries bottlenecked HR. Now, a multilingual AI gives 4,500 factory and office staff 24/7 mobile access to HR guidelines.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Proprietary AI was isolated to data scientists. A global academy now empowers 40,000 employees to embed AI into their daily workflows.
Testing physical prototypes delayed evaluations by weeks. Now, researchers use AI consumer personas to simulate product trials in hours.
Peak season required 300 temps to manage 9,000 daily cases. An AI agent now handles the volume across 19 countries with zero backlog.
Routine queries burdened HR. Now, an AI WhatsApp agent instantly answers remote factory workers, escalating complex issues to HR.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.