Manual sampling struggled with petabytes of data. Now, AI agents analyze entire datasets, freeing auditors for high-risk insights.
A global professional services network with 95,000 auditors operating in more than 140 countries, processing petabytes of structured and unstructured financial data annually.
Traditional audit methods relied on sampling small portions of data and completing documentation manually. This approach could not keep pace with...
“We needed to scale insights while ensuring trust. Through collaboration with Microsoft, we’re using today’s and tomorrow’s technologies for KPMG Clara. This helps KPMG professionals to work to provide our highest levels of audit quality by increasing our ability to focus on the issues that matter.”
Global professional services network for audit, tax, and advisory solutions.
Enterprise software, cloud infrastructure, and consumer electronics platform.
KPMG's Audit 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.
Teams manually transcribed complex 300-page tax forms. Now, a specialist annotates one page and AI trains custom extraction models.
Retrieving non-standard data took days of back-office requests. Executives now query AI in plain English for answers in seconds.
Auditors lost hours manually recalculating financial statements. Now, AI verifies math and consistency so teams can analyze exceptions.
Manual data processing slowed audit teams. Excel automation now handles routine tests, freeing staff to analyze high-risk exceptions.
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.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.
Manual sampling struggled with petabytes of data. Now, AI agents analyze entire datasets, freeing auditors for high-risk insights.
A global professional services network with 95,000 auditors operating in more than 140 countries, processing petabytes of structured and unstructured financial data annually.
Traditional audit methods relied on sampling small portions of data and completing documentation manually. This approach could not keep pace with...
“We needed to scale insights while ensuring trust. Through collaboration with Microsoft, we’re using today’s and tomorrow’s technologies for KPMG Clara. This helps KPMG professionals to work to provide our highest levels of audit quality by increasing our ability to focus on the issues that matter.”
Global professional services network for audit, tax, and advisory solutions.
Enterprise software, cloud infrastructure, and consumer electronics platform.
KPMG's Audit 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.
Teams manually transcribed complex 300-page tax forms. Now, a specialist annotates one page and AI trains custom extraction models.
Retrieving non-standard data took days of back-office requests. Executives now query AI in plain English for answers in seconds.
Auditors lost hours manually recalculating financial statements. Now, AI verifies math and consistency so teams can analyze exceptions.
Manual data processing slowed audit teams. Excel automation now handles routine tests, freeing staff to analyze high-risk exceptions.
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.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.