EY
Workflow automation
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
- 150,000+ employees using Microsoft 365 Copilot
Japan's shrinking workforce capped headcount. Instead of relying on IT, non-coding staff built AI workflows for daily budget approvals.
A technology and engineering consultancy deploying 6,500 consultants and engineers across Japan.
Japan's aging demographic and shrinking workforce severely limited available talent pools. The organization needed to maintain productivity and...
“With Japan’s population declining, companies can no longer rely on traditional workforce growth to stay competitive. To maximize their potential and compete globally, they must raise labor productivity and empower more people to innovate. That requires efficiency, agility, and a new way of working—and the same is true for us.”
Digital engineering and IT services consultancy for global industrial sectors.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Rapid growth overloaded HR with manual drafting. Generative AI now writes job descriptions and answers policy queries instantly.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Auditors lost hours manually recalculating financial statements. Now, AI verifies math and consistency so teams can analyze exceptions.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Japan's shrinking workforce capped headcount. Instead of relying on IT, non-coding staff built AI workflows for daily budget approvals.
A technology and engineering consultancy deploying 6,500 consultants and engineers across Japan.
Japan's aging demographic and shrinking workforce severely limited available talent pools. The organization needed to maintain productivity and...
“With Japan’s population declining, companies can no longer rely on traditional workforce growth to stay competitive. To maximize their potential and compete globally, they must raise labor productivity and empower more people to innovate. That requires efficiency, agility, and a new way of working—and the same is true for us.”
Digital engineering and IT services consultancy for global industrial sectors.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Rapid growth overloaded HR with manual drafting. Generative AI now writes job descriptions and answers policy queries instantly.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Auditors lost hours manually recalculating financial statements. Now, AI verifies math and consistency so teams can analyze exceptions.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.