AI Knowledge Agent Designed to Retrieve and Cite Policy, Never Decide It

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Organizations routinely lose institutional knowledge across chat threads, emails, meeting notes, and individual memory, forcing teams to repeatedly re-answer the same questions with inconsistent results. A knowledge agent framework outlined by DEV Community proposes a system built around a strict boundary: the agent retrieves, cites, and compares existing approved sources but never creates or resolves policy on its own. When two approved sources conflict, the agent surfaces the contradiction and escalates to human decision-makers rather than selecting an answer. The system integrates into existing workplace chat platforms and searches policy articles, calibration records, escalation logs, and meeting summaries, returning results with full source provenance. Its deliberately limited scope — humans decide, the agent remembers — is presented as the core governance model that keeps the tool safe and auditable.

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