Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
A global consumer goods enterprise with 320,000 employees across 200 countries, managing a vast portfolio of iconic food and beverage brands.
A fragmented technology landscape with disparate collaboration tools slowed business operations and limited the ability to deploy AI at scale....
“We knew that if we didn’t standardize on a collaboration platform with powerful AI features, we’d lose ground in workplace AI.”
PepsiCo's Workforce collaboration is part of this use case:
Global food and beverage corporation specializing in snacks and soft drinks.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual order entry caused pricing errors and billing disputes. Now, an AI agent flags discrepancies and drafts client emails for staff.
Consumer insights were scattered across thousands of systems. Now, an AI answer engine synthesizes millions of pages in seconds.
Staff manually checked thousands of orders in Excel. Now, automated apps and AI agents validate logistics and pre-screen legal claims.
Routine prep and manual research bottlenecked 4,000 employees. Copilot now structures content, freeing staff for strategic thinking.
A dev backlog slowed AI rollout. Now, 7,000 staff build their own agents with no-code tools, saving 20,000 hours monthly.
Routine queries burdened HR. Now, an AI WhatsApp agent instantly answers remote factory workers, escalating complex issues to HR.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
A global consumer goods enterprise with 320,000 employees across 200 countries, managing a vast portfolio of iconic food and beverage brands.
A fragmented technology landscape with disparate collaboration tools slowed business operations and limited the ability to deploy AI at scale....
“We knew that if we didn’t standardize on a collaboration platform with powerful AI features, we’d lose ground in workplace AI.”
PepsiCo's Workforce collaboration is part of this use case:
Global food and beverage corporation specializing in snacks and soft drinks.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual order entry caused pricing errors and billing disputes. Now, an AI agent flags discrepancies and drafts client emails for staff.
Consumer insights were scattered across thousands of systems. Now, an AI answer engine synthesizes millions of pages in seconds.
Staff manually checked thousands of orders in Excel. Now, automated apps and AI agents validate logistics and pre-screen legal claims.
Routine prep and manual research bottlenecked 4,000 employees. Copilot now structures content, freeing staff for strategic thinking.
A dev backlog slowed AI rollout. Now, 7,000 staff build their own agents with no-code tools, saving 20,000 hours monthly.
Routine queries burdened HR. Now, an AI WhatsApp agent instantly answers remote factory workers, escalating complex issues to HR.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.