From Curation to Creation: How Informatica Scaled Support with AI Agents

Traditional Knowledge Management has long been plagued by documentation debt, the critical lag between case closure and knowledge creation that leads to fragmented insights and redundant content. Informatica solved this challenge by transitioning from manual repositories to a dynamic, agentic framework. They have reached a defining 80/20 milestone, where AI agents now generate 80% of knowledge articles with 75% baseline accuracy that also drives 60% of case deflection. This shift has also redefined the role of their human experts, moving them from primary authors to strategic reviewers. By freeing those engineers from the burden of manual drafting, they can now focus on solving complex edge cases and enriching the knowledge base with high-level expertise only when needed.

This “Efficiency Engine” has directly accelerated case deflection by ensuring that timely, relevant information is available to customers the moment they need it. However, the core of this success lies in Trust and Governance. Informatica has also built an automated pipeline that maintains strict accuracy and brand voice without sacrificing speed. They aren’t just using AI to find answers anymore; they’re using it to build the foundation of the answers themselves. Join this session to learn how to stop chasing documentation debt and start leveraging AI agents to build a self-sustaining, self-healing ecosystem of information!

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