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
Admin tasks bogged down 364k consultants. Copilot now drives 40M+ actions, reclaiming $150M in time for client advisory.
A professional services network with 364,000 employees across 136 countries, managing a data estate of 15 petabytes and over 500,000 mailboxes.
Organizational complexity and data silos made it difficult for employees to collaborate efficiently or access collective knowledge. Consultants spent...
“We’re evolving into an AI first organization—embedding Microsoft 365 with Copilot so our people can spend more time advising clients and less time on administrative work.”
Global professional services network for audit, tax, and consulting.
Enterprise software, cloud infrastructure, and consumer electronics platform.
PwC's Employee productivity is part of this use case:
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.
Basic AI chat couldn't resolve complex workflow bottlenecks. Now, non-technical staff build tens of thousands of custom micro-agents.
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.
Creating sales tags triggered complex IT cycles. Now, AI agents automate the workflow and coach sellers on every deal—not just big ones.
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.
Admin tasks bogged down 364k consultants. Copilot now drives 40M+ actions, reclaiming $150M in time for client advisory.
A professional services network with 364,000 employees across 136 countries, managing a data estate of 15 petabytes and over 500,000 mailboxes.
Organizational complexity and data silos made it difficult for employees to collaborate efficiently or access collective knowledge. Consultants spent...
“We’re evolving into an AI first organization—embedding Microsoft 365 with Copilot so our people can spend more time advising clients and less time on administrative work.”
Global professional services network for audit, tax, and consulting.
Enterprise software, cloud infrastructure, and consumer electronics platform.
PwC's Employee productivity is part of this use case:
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.
Basic AI chat couldn't resolve complex workflow bottlenecks. Now, non-technical staff build tens of thousands of custom micro-agents.
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.
Creating sales tags triggered complex IT cycles. Now, AI agents automate the workflow and coach sellers on every deal—not just big ones.
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.