---
title: "How Uber Built a Conversational AI Agent For Financial Analysis"
url: https://daily.dev/posts/how-uber-built-a-conversational-ai-agent-for-financial-analysis-m8kmppmah
source_url: https://blog.bytebytego.com/p/how-uber-built-a-conversational-ai
type: article
source: "ByteByteGo"
published: 2025-11-10T16:36:07.635Z
updated: 2025-11-10T16:37:14.253Z
tags: ["ai", "llm", "sql", "uber", "slack"]
reading_time: 12
upvotes: 52
comments: 0
language: en
---

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# How Uber Built a Conversational AI Agent For Financial Analysis

**[ByteByteGo](https://daily.dev/sources/bytebytego)** · 12 min read · 52 upvotes · 0 comments

## Summary

Uber built Finch, a conversational AI agent that enables finance teams to query financial data using natural language directly in Slack. The system translates questions into SQL queries, retrieves data from curated single-table data marts, and returns results in seconds. Finch uses a modular architecture with specialized agents orchestrated by LangGraph, OpenSearch for semantic mapping, and role-based access controls for security. The system includes continuous evaluation against golden queries, performance optimizations through parallel processing and pre-fetching, and plans to expand with deeper FinTech integration and human-in-the-loop validation for executive decisions.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.bytebytego.com/p/how-uber-built-a-conversational-ai>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#llm](https://daily.dev/tags/llm), [#sql](https://daily.dev/tags/sql), [#uber](https://daily.dev/tags/uber), [#slack](https://daily.dev/tags/slack)

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