Rippling built a production multi-agent AI layer on LangChain Deep Agents in ~6 months, serving millions of users across HR, IT, payroll and finance.
Rippling is a workforce-management platform spanning HR, IT, payroll, finance and global ops — thousands of tables and overlapping entity names that mean different things by domain.
Building an AI layer that could disambiguate and reason across that massive ontology made siloed, vertical models unworkable; passing schema chunks...
HR, payroll, and IT management platform for global workforce operations.
Framework and developer platform for building LLM-powered applications.
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.
Teams spent hours manually prepping for meetings. Now, custom agents generate instant briefings, speeding up client decisions by days.
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.
Rippling built a production multi-agent AI layer on LangChain Deep Agents in ~6 months, serving millions of users across HR, IT, payroll and finance.
Rippling is a workforce-management platform spanning HR, IT, payroll, finance and global ops — thousands of tables and overlapping entity names that mean different things by domain.
Building an AI layer that could disambiguate and reason across that massive ontology made siloed, vertical models unworkable; passing schema chunks...
HR, payroll, and IT management platform for global workforce operations.
Framework and developer platform for building LLM-powered applications.
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.
Teams spent hours manually prepping for meetings. Now, custom agents generate instant briefings, speeding up client decisions by days.
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.