Agentic AI has moved enterprises from insight to action. Left to run, AI agents plan and carry out multi-step workflows across live systems, not just recommend the next step. Most enterprises now have capable models. The harder question is whether they can govern what those agents do once the count climbs from a handful to thousands.

Onix’s latest whitepaper lays out the architecture for exactly that. It maps the four control surfaces every enterprise now has to answer for, from semantic grounding to policy enforcement, and shows how Wingspan delivers each one by grounding every agent in a governed enterprise context.

Onix’s latest white paper highlights how Wingspan and the Semantic Twin can provide the right framework for effective AI governance. The white paper also explains how Wingspan can be mapped across each of the four control surfaces, including semantic grounding and policy enforcement.