Informatica 如何构建多代理 AI 系统,将数据工作流从数月缩短至数天

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Neha Awasthi, Senior Manager of Software Engineering at Informatica and the engineering leader behind CLAIRE, a multi-agent AI system embedded across the Intelligent Data Management Cloud (IDMC) that executes enterprise data workflows at a 90% task success rate.

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Neha Awasthi, Senior Manager of Software Engineering at Informatica and the engineering leader behind CLAIRE, a multi-agent AI system embedded across the Intelligent Data Management Cloud (IDMC) that executes enterprise data workflows at a 90% task success rate.

Explore how Neha’s team transformed enterprise data workflows once requiring up to three months of manual effort spanning discovery, governance, data quality, and pipeline orchestration within IDMC — and how they moved beyond the constraints of single-agent AI systems to coordinate multi-agent execution across workflows involving 50–60 model calls per request.

探索 Neha 的团队如何转型企业数据工作流,这些工作流曾经需要长达三个月的跨 IDMC 内发现、治理、数据质量和管道编排的手动努力——以及他们如何超越单代理 AI 系统的限制,协调涉及每个请求 50–60 个模型调用的跨工作流的多代理执行。

What is your team’s mission in building CLAIRE as a multi-agent AI system for enterprise data management?
您的团队在构建 CLAIRE 作为企业数据管理多代理 AI 系统时的使命是什么?

Our mission is to build a multi-agent AI system that transforms enterprise data management across the IDMC — making complex workflows intuitive and automated for users beyond technical specialists. Historically, workflows spanning cataloging, governance, data quality, integration, and master data remained fragmented, forcing teams to navigate multiple tools and apply deep expertise just to complete a single use case.

我们的使命是构建一个多代理 AI 系统,转变 IDMC 中的企业数据管理——使复杂工作流对非技术专家用户变得直观和自动化。历史上,跨越 cataloging、governance、data quality、integration 和 master data 的工作流仍然是碎片化的,迫使团队导航多个工具并应用深厚专业知识来完成单个用例。

We addressed this by building C...

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