Active program management, workflow maintenance, and monthly PRISM-governed development — without the fully-loaded cost of an in-house AI program manager.
That's before ramp time — typically three to six months before a new hire is genuinely productive. Before institutional knowledge build. Before turnover risk. Before the reality that one person, however capable, cannot provide round-the-clock platform monitoring, run a PRISM assessment on every new workflow, and actively maintain a growing production catalog simultaneously.
Managed AI is the embedded function that makes that hire unnecessary. Dedicated capacity, systematic methodology, monthly reporting your leadership can act on, and a development allocation that grows your program without requiring a new headcount justification for every workflow.
The question isn't whether you need program management capacity. It's whether you should hire it or subscribe to it.
The most common failure mode of managed services engagements is scope creep disguised as progress — new workflows added without proper complexity assessment, leading to cost overruns and quality degradation. The PRISM framework prevents this by design.
No agent enters the Managed AI build queue without a PRISM score. The score determines whether the workflow fits within your monthly allocation, requires an overage authorization, or needs a dedicated scoping conversation first. The same rigor that governed your initial Activation governs every subsequent workflow.
The framework that built your program governs how your program grows.
Example at 10 live agents: $4,500 + (10 × $320) + $5,500 = $13,200/month. As your catalog grows, maintenance scales. The PRISM allocation remains fixed unless you elect to increase it.
AIRO gives you a readiness profile and a recommended entry point. If Managed AI is right for your stage, we'll show you exactly what it looks like at your scale.