Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
A global professional services enterprise managing long-lived, interconnected codebases shaped by years of development.
Technical debt and a lack of automation across large repositories hindered development velocity. The firm needed a way to handle execution-heavy work...
“Bringing Factory's Droids into our ecosystem allows us to quickly solve for the technical debt, and lack of automation and consistency across large codebases, a problem we're seeing across all enterprises when it comes to accelerating their AI capabilities.”
Global professional services for assurance, tax, consulting, and strategy.
AI software development agents for automating engineering workflows.
EY's Software development is part of this use case:
Related implementations across industries and use cases
Retroactive security reviews added a week to projects. Embedding controls cut build times 30% and scaled AI to 50k employees.
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%.
Privacy rules and poor accuracy capped AI use at 30%. A self-hosted model hit 90% precision, driving adoption to 100%.
Rigid scripts left complex migrations manual. Now, a background agent turns natural language prompts into verified, merged pull requests.
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%.
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.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
A global professional services enterprise managing long-lived, interconnected codebases shaped by years of development.
Technical debt and a lack of automation across large repositories hindered development velocity. The firm needed a way to handle execution-heavy work...
“Bringing Factory's Droids into our ecosystem allows us to quickly solve for the technical debt, and lack of automation and consistency across large codebases, a problem we're seeing across all enterprises when it comes to accelerating their AI capabilities.”
Global professional services for assurance, tax, consulting, and strategy.
AI software development agents for automating engineering workflows.
EY's Software development is part of this use case:
Related implementations across industries and use cases
Retroactive security reviews added a week to projects. Embedding controls cut build times 30% and scaled AI to 50k employees.
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%.
Privacy rules and poor accuracy capped AI use at 30%. A self-hosted model hit 90% precision, driving adoption to 100%.
Rigid scripts left complex migrations manual. Now, a background agent turns natural language prompts into verified, merged pull requests.
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%.
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.