Empowering engineering teams with intelligent knowledge retrieval and automated problem-solving capabilities.
A Fortune 50 hardware manufacturer faced critical delays in troubleshooting production issues due to fragmented knowledge across multiple systems, documentation silos, and tribal knowledge locked in employees' heads. Engineers spent hours searching through wikis, tickets, and Slack channels to find relevant information.
With thousands of products and complex manufacturing processes, the time to identify and resolve issues was impacting production timelines, increasing costs, and frustrating technical teams who knew the answers existed somewhere—they just couldn't find them quickly enough.
SentientOne's platform transformed scattered knowledge into an intelligent, searchable system in weeks:
SentientOne automatically connected to Confluence, Jira, GitHub, and Slack using pre-built integrations. No custom ETL pipelines or data engineering required—just point and click.
The platform's AI automatically organized and indexed all content, understanding technical relationships and context without manual tagging or categorization.
Engineers simply ask questions in plain English. SentientOne's agents understand intent and surface relevant answers from across all systems, with source citations.
Internal Knowledge System Architecture
Data Sources → SentientOne Indexing → AI Search Agent → Engineer Query → Instant Answer
Stop losing time searching for answers. Let's build an intelligent knowledge system that makes your team's expertise instantly accessible.
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