Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
One of the world's largest professional services organizations, operating globally with over 150,000 employees.
As business demands accelerated, a gap emerged between future organizational needs and current workforce capacity. Employees frequently struggled...
“The stakes are high right now for our clients and for EY, particularly around the area of measuring and managing the value of AI.”
EY's Workflow automation is part of this use case:
Global professional services for assurance, tax, consulting, and strategy.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Basic AI chat couldn't resolve complex workflow bottlenecks. Now, non-technical staff build tens of thousands of custom micro-agents.
Admin tasks bogged down 364k consultants. Copilot now drives 40M+ actions, reclaiming $150M in time for client advisory.
Agents sifted through notes on 1M annual tickets. AI now drafts resolutions and summaries, saving 160,000 hours of work per year.
Basic AI chat couldn't resolve complex workflow bottlenecks. Now, non-technical staff build tens of thousands of custom micro-agents.
Admin tasks bogged down 364k consultants. Copilot now drives 40M+ actions, reclaiming $150M in time for client advisory.
Manual research took days. Consultants now generate cited summaries in minutes, validating findings instantly during client meetings.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
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.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
One of the world's largest professional services organizations, operating globally with over 150,000 employees.
As business demands accelerated, a gap emerged between future organizational needs and current workforce capacity. Employees frequently struggled...
“The stakes are high right now for our clients and for EY, particularly around the area of measuring and managing the value of AI.”
EY's Workflow automation is part of this use case:
Global professional services for assurance, tax, consulting, and strategy.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Basic AI chat couldn't resolve complex workflow bottlenecks. Now, non-technical staff build tens of thousands of custom micro-agents.
Admin tasks bogged down 364k consultants. Copilot now drives 40M+ actions, reclaiming $150M in time for client advisory.
Agents sifted through notes on 1M annual tickets. AI now drafts resolutions and summaries, saving 160,000 hours of work per year.
Basic AI chat couldn't resolve complex workflow bottlenecks. Now, non-technical staff build tens of thousands of custom micro-agents.
Admin tasks bogged down 364k consultants. Copilot now drives 40M+ actions, reclaiming $150M in time for client advisory.
Manual research took days. Consultants now generate cited summaries in minutes, validating findings instantly during client meetings.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
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.