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.
Routine drafting and reports ate hours each week; many feared AI. Structured training with champions turned fear into genuine advocacy.
A dev backlog slowed AI rollout. Now, 7,000 staff build their own agents with no-code tools, saving 20,000 hours monthly.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Routine drafting and reports ate hours each week; many feared AI. Structured training with champions turned fear into genuine advocacy.
39 categories left shoppers guessing; support swamped with routine calls. Agentforce now covers the catalog, the cart, and what comes after.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Generic AI training wouldn't reach workers across construction sites, studios, and sales floors. Each built a Custom GPT for their own role.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
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.
Routine drafting and reports ate hours each week; many feared AI. Structured training with champions turned fear into genuine advocacy.
A dev backlog slowed AI rollout. Now, 7,000 staff build their own agents with no-code tools, saving 20,000 hours monthly.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Routine drafting and reports ate hours each week; many feared AI. Structured training with champions turned fear into genuine advocacy.
39 categories left shoppers guessing; support swamped with routine calls. Agentforce now covers the catalog, the cart, and what comes after.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Generic AI training wouldn't reach workers across construction sites, studios, and sales floors. Each built a Custom GPT for their own role.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.