Every Enterprise Will Have Its Own AI Harness
I think every large enterprise is going to have its own AI harness. Not necessarily a proprietary harness built from scratch. More likely, it will be an open core that the enterprise configures with its own identity systems, model gateways, internal tools, data sources, policies, approval processes, and audit requirements. That harness could become the shared runtime behind a large part of the…
Enterprise AI harnesses are emerging as a solution to the fragmented landscape of internal AI applications. Rather than building an AI assistant from scratch for each use case, enterprises are moving towards a shared runtime that standardizes core components such as identity systems, model gateways, internal tools, data sources, policies, and audit requirements.
This approach reduces duplicated effort, provides a consistent control point for security, and allows applications to remain specialized while leveraging the shared harness. The key differentiator is the ability to enforce company policies deterministically outside of the model. Plugins within the harness provide the necessary custom functionality for each application, ranging from accessing internal tools to handling compliance.
This architecture enables organizations to efficiently experiment with new AI use cases and transition them to production without the need for complete overhauls of the underlying infrastructure.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
