EY
Software development
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
- 5,000+ engineers using AI development agents
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.
Privacy rules and poor accuracy capped AI use at 30%. A self-hosted model hit 90% precision, driving adoption to 100%.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Privacy rules and poor accuracy capped AI use at 30%. A self-hosted model hit 90% precision, driving adoption to 100%.
Adoption came easy; deep integration didn't. Lawyers seconded from billable work became legal engineers, then led change firm-wide.
Mandatory logins and forms bled the funnel before recruiters saw anyone. An AI agent now guides them from application to offer via text.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
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.
Privacy rules and poor accuracy capped AI use at 30%. A self-hosted model hit 90% precision, driving adoption to 100%.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Privacy rules and poor accuracy capped AI use at 30%. A self-hosted model hit 90% precision, driving adoption to 100%.
Adoption came easy; deep integration didn't. Lawyers seconded from billable work became legal engineers, then led change firm-wide.
Mandatory logins and forms bled the funnel before recruiters saw anyone. An AI agent now guides them from application to offer via text.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.