Enterprise AI agents are only as reliable as the messiest documents behind them

Enterprise AI uses separate pipelines that ingest documents, create chunks and embeddings, and feed agents, resulting in fragmented, inconsistent knowledge across teams. Each system maintains its own indexes, causing duplicated effort, higher costs, and stale data. A shared knowledge platform would ingest, normalize, model, and publish unified representations for all AI agents.