Enterprises May Soon Adopt Shared AI Harnesses to Replace Fragmented AI Tools

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A growing pattern in large enterprises involves teams independently building separate AI applications, each duplicating infrastructure like authentication, logging, and policy checks. This fragmented approach leads to dozens of overlapping tools with inconsistent security assumptions, making it difficult to manage at scale. The proposed solution is a shared enterprise AI harness — a configurable open-core platform that standardizes identity, model access, governance, and audit requirements across the organization. Rather than replacing individual applications, the harness acts as a common foundation layer that makes each app thinner and more secure by handling the complex governance work centrally. This model mirrors how enterprises already standardize cloud platforms and API gateways, with plugins allowing each company to tailor the harness to its own internal systems and policies.

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