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.”
KPMG's Workflow automation is part of this use case:
Global professional services network for audit, tax, and advisory solutions.
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.
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%.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
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.
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.”
KPMG's Workflow automation is part of this use case:
Global professional services network for audit, tax, and advisory solutions.
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.
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%.
Manual coordination across systems bottlenecked teams. Now, employees build custom AI agents to automate tasks like purchase analysis.
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.