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.”
Global professional services for assurance, tax, consulting, and strategy.
Enterprise software, cloud infrastructure, and consumer electronics platform.
EY's Workflow automation is part of this use case:
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.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
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.”
Global professional services for assurance, tax, consulting, and strategy.
Enterprise software, cloud infrastructure, and consumer electronics platform.
EY's Workflow automation is part of this use case:
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.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.