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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# How Remote uses LangChain and LangGraph to onboard thousands of customers with AI

**[Learn Python](https://daily.dev/sources/lpython)** · [@sophyia](https://daily.dev/sophyia) · 6 upvotes · 1 comments

## Summary

Remote built a Code Execution Agent using LangChain and LangGraph to automate customer data migrations during onboarding. The system separates LLM reasoning from code execution: models decide what transformations to perform, while Python code in a WebAssembly sandbox handles actual data processing. This hybrid approach bypasses context window limitations and hallucination risks by keeping large datasets outside the LLM's context. The agent transforms diverse HR and payroll data formats (CSV, Excel, SQL exports) into standardized JSON schemas, reducing migration time from days to hours while maintaining accuracy and auditability for compliance-critical operations.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.blog.langchain.com/customers-remote/>

## Community discussion

Top comments from developers on daily.dev.

**@dash15tonon** · 0 upvotes

> Thanks @sophyia for this cake. I delighted reading this.

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---

Tags: [#ai](https://daily.dev/tags/ai), [#python](https://daily.dev/tags/python), [#llm](https://daily.dev/tags/llm), [#data-engineering](https://daily.dev/tags/data-engineering), [#langchain](https://daily.dev/tags/langchain)

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