The governance gap is a sourcing problem

What organizations need to understand is that the governance gap isn’t primarily a technical problem, nor is it primarily a vendor problem; it’s really a sourcing problem. When the entity deploying AI capabilities is also the primary source of guidance on how it should be governed, the independence of that governance is structurally constrained. 

No vendor can credibly provide governance frameworks that recommend against their own products' use; no vendor has the organizational knowledge of a specific enterprise's risk profile, regulatory obligations and decision-making accountability structure that governance frameworks must reflect to be usable.

Ken Liu's observation, which he made during a ChinaTalk interview, puts the structural issue in clear terms. Access to frontier intelligence, he argued, can be rented; operational control and organizational learning cannot. The implication for enterprises is that template-based deployment, agent orchestration features and even managed constraint evaluation are all rentable; however, judgment about which constraints are appropriate for a specific regulated context, which failure modes are acceptable in a specific production environment and how agent behavior maps to organizational accountability is not something any vendor is able to sell. This is because selling it would require them to make decisions against their own platform.

Organizations that built their AI strategies around the assumption that governance frameworks would arrive alongside deployment tooling are now discovering the tooling is moving faster than the frameworks, and, what’s more, the frameworks offered by those same vendor channels are inherently limited. Vendor-dependency is forming before anyone has an alternative.