What does it mean for companies to "own their intelligence" with AI?

LangChain Blog argues that companies need to own their AI intelligence rather than rely on generic models, because general models do not know company-specific policies, workflows, or risk tolerances.

Ownership means controlling the agent system (model optionality, harness, and context), the economics, quality, and risk of AI work, and how intelligence compounds over time.

The post uses an insurer's claims processing as an example of why off-the-shelf models fall short.