KPMG
Audit automation
Manual sampling struggled with petabytes of data. Now, AI agents analyze entire datasets, freeing auditors for high-risk insights.
- 95,000 auditors using AI-powered Clara platform
- AI-powered audits scaled across 140 countries
Auditors spent hours manually synthesizing data across systems. An AI agent now surfaces key patterns, freeing teams for expert judgment.
One of the largest accounting and business advisory firms in the United States performs 18,000 audits annually across a complex landscape of evolving regulatory standards.
Auditors spent hours manually pulling together and synthesizing vast amounts of client data to assess risk. Constant regulatory updates and evolving...
“We set out to build an agent that would truly pave the way for the future of how assurance gets done. Our agent was the right place to start because it touches all 18,000 audits we do. It will drive smarter decisions by synthesizing massive amounts of information in consistent, predictable ways, exactly what auditors need.”
Accounting, tax, and advisory firm providing audit and business outsourcing services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual sampling struggled with petabytes of data. Now, AI agents analyze entire datasets, freeing auditors for high-risk insights.
Basic AI chat couldn't resolve complex workflow bottlenecks. Now, non-technical staff build tens of thousands of custom micro-agents.
Searching 100+ page PDFs took up to 45 minutes per selection. Now, AI extracts evidence in the background for final human review.
Client research took days. An AI agent now compiles tailored briefs in minutes, saving 1,000 hours annually.
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%.
Auditors lost hours manually recalculating financial statements. Now, AI verifies math and consistency so teams can analyze exceptions.
Rigid rules slowed 990,000 invoices. ML now matches payments across 1,000 process variants, freeing cash trapped in manual cycles.
Finance teams managed 1.5M transactions via scattered spreadsheets. Now, AI agents extract data and route journal entries in seconds.