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 company’s internal AI work.

This matters because the current pattern does not scale well. A team wants an internal assistant, so it builds an application. Another team wants a policy search tool, so it builds a second application. Security wants a review tool. Support wants a ticket assistant. Engineering wants a code and Jira assistant. Each project ends up rebuilding some version of model access, authentication, connectors, permissions, logging, and policy checks.

After enough projects, the company has dozens or hundreds of small AI applications with overlapping infrastructure and different security assumptions.