Consultants spent weeks interviewing staff to map undocumented mainframes. Now, they use Claude to analyze code and generate specs.
A global professional services firm with 400,000 employees offering audit, tax, and consulting services.
Legacy and mainframe modernization engagements required consultants to manually review undocumented systems, taking up to six weeks for the discovery...
“Claude is giving us the ability to re-energize the AI mindset in our people. It's a lot more relatable. People feel that they're getting to results faster that are both higher fidelity and also more in tune with where they're going.”
Global professional services network for audit, tax, and consulting.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
PwC's Legacy code analysis is part of this use case:
Related implementations across industries and use cases
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Manual sampling struggled with petabytes of data. Now, AI agents analyze entire datasets, freeing auditors for high-risk insights.
Deciphering legacy systems bottlenecked senior reviewers. Now, early-career devs use Claude to navigate code, freeing seniors to build.
Deciphering legacy systems bottlenecked senior reviewers. Now, early-career devs use Claude to navigate code, freeing seniors to build.
Privacy rules and poor accuracy capped AI use at 30%. A self-hosted model hit 90% precision, driving adoption to 100%.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Teams manually transcribed complex 300-page tax forms. Now, a specialist annotates one page and AI trains custom extraction models.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Consultants spent weeks interviewing staff to map undocumented mainframes. Now, they use Claude to analyze code and generate specs.
A global professional services firm with 400,000 employees offering audit, tax, and consulting services.
Legacy and mainframe modernization engagements required consultants to manually review undocumented systems, taking up to six weeks for the discovery...
“Claude is giving us the ability to re-energize the AI mindset in our people. It's a lot more relatable. People feel that they're getting to results faster that are both higher fidelity and also more in tune with where they're going.”
Global professional services network for audit, tax, and consulting.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
PwC's Legacy code analysis is part of this use case:
Related implementations across industries and use cases
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Manual sampling struggled with petabytes of data. Now, AI agents analyze entire datasets, freeing auditors for high-risk insights.
Deciphering legacy systems bottlenecked senior reviewers. Now, early-career devs use Claude to navigate code, freeing seniors to build.
Deciphering legacy systems bottlenecked senior reviewers. Now, early-career devs use Claude to navigate code, freeing seniors to build.
Privacy rules and poor accuracy capped AI use at 30%. A self-hosted model hit 90% precision, driving adoption to 100%.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Teams manually transcribed complex 300-page tax forms. Now, a specialist annotates one page and AI trains custom extraction models.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.