Siloed models couldn't reason across domains; a supervisor now routes read, retrieval, and action agents across HR, IT, and finance.
A workforce-management platform spanning HR, IT, payroll, finance, and global operations, with a data model of thousands of tables and overlapping entity names that mean different things across domains.
The same question, like a balance inquiry, could mean a health savings account, a credit card, or a time-off policy, and managers routinely pivot...
HR, payroll, and IT management platform for global workforce operations.
Framework and developer platform for building LLM-powered applications.
Rippling's Employee assistant is part of this use case:
Related implementations across industries and use cases
Off-the-shelf AI wrote flat pitches. Now, models trained by top screenwriters draft tailored proposals that win work.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Five-fold growth created service bottlenecks for agents. Now, an AI agent handles routine questions, freeing the team for complex problems.
Onboarding across four platforms required weeks of shadowing. Now, an AI assistant instantly answers Slack queries so new hires self-serve.
As staff quadrupled, manual support couldn't keep pace. An AI agent now resolves nearly three in four tickets without human input.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
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.
Siloed models couldn't reason across domains; a supervisor now routes read, retrieval, and action agents across HR, IT, and finance.
A workforce-management platform spanning HR, IT, payroll, finance, and global operations, with a data model of thousands of tables and overlapping entity names that mean different things across domains.
The same question, like a balance inquiry, could mean a health savings account, a credit card, or a time-off policy, and managers routinely pivot...
HR, payroll, and IT management platform for global workforce operations.
Framework and developer platform for building LLM-powered applications.
Rippling's Employee assistant is part of this use case:
Related implementations across industries and use cases
Off-the-shelf AI wrote flat pitches. Now, models trained by top screenwriters draft tailored proposals that win work.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Five-fold growth created service bottlenecks for agents. Now, an AI agent handles routine questions, freeing the team for complex problems.
Onboarding across four platforms required weeks of shadowing. Now, an AI assistant instantly answers Slack queries so new hires self-serve.
As staff quadrupled, manual support couldn't keep pace. An AI agent now resolves nearly three in four tickets without human input.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
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.