Basic AI chat couldn't resolve complex workflow bottlenecks. Now, non-technical staff build tens of thousands of custom micro-agents.
A century-old global professional services leader spanning audit, tax, and advisory with a workforce of 280,000 professionals.
As generative models disrupted traditional knowledge work, the firm needed to rapidly adapt and scale expertise across its massive global workforce....
“AI is the most transformative force we’ve seen in business. We’ve mobilized the entire organization—every team, every function—to rethink how we operate, so we can better serve our customers.”
Global professional services network for audit, tax, and advisory solutions.
Enterprise software, cloud infrastructure, and consumer electronics platform.
KPMG's Workflow automation 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.
Manual sampling struggled with petabytes of data. Now, AI agents analyze entire datasets, freeing auditors for high-risk insights.
Turning reports into assets took days. Agents now generate full campaigns—emails to social—instantly, cutting production time by 80%.
Admin tasks bogged down 364k consultants. Copilot now drives 40M+ actions, reclaiming $150M in time for client advisory.
Routine admin bogged down 120,000 staff. Secure custom GPTs now automate workflows, freeing bankers for strategy and risk analysis.
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.
Basic AI chat couldn't resolve complex workflow bottlenecks. Now, non-technical staff build tens of thousands of custom micro-agents.
A century-old global professional services leader spanning audit, tax, and advisory with a workforce of 280,000 professionals.
As generative models disrupted traditional knowledge work, the firm needed to rapidly adapt and scale expertise across its massive global workforce....
“AI is the most transformative force we’ve seen in business. We’ve mobilized the entire organization—every team, every function—to rethink how we operate, so we can better serve our customers.”
Global professional services network for audit, tax, and advisory solutions.
Enterprise software, cloud infrastructure, and consumer electronics platform.
KPMG's Workflow automation 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.
Manual sampling struggled with petabytes of data. Now, AI agents analyze entire datasets, freeing auditors for high-risk insights.
Turning reports into assets took days. Agents now generate full campaigns—emails to social—instantly, cutting production time by 80%.
Admin tasks bogged down 364k consultants. Copilot now drives 40M+ actions, reclaiming $150M in time for client advisory.
Routine admin bogged down 120,000 staff. Secure custom GPTs now automate workflows, freeing bankers for strategy and risk analysis.
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.