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.”
EisnerAmper's Audit research is part of this use case:
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.
Manually parsing thousands of documents slowed analysts. Now, a custom AI research engine synthesizes traceable market insights in hours.
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%.
Retrieving non-standard data took days of back-office requests. Executives now query AI in plain English for answers in seconds.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.
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.”
EisnerAmper's Audit research is part of this use case:
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.
Manually parsing thousands of documents slowed analysts. Now, a custom AI research engine synthesizes traceable market insights in hours.
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%.
Retrieving non-standard data took days of back-office requests. Executives now query AI in plain English for answers in seconds.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.