Map the current use
Identify the AI tools, data flows, business owners, and decisions that need oversight.
Managed AI Operations / Specialist capability
AI Governance
Turn AI policies into operating responsibilities and reviewable evidence.
A capability inside a complete operating plan.
Access, data handling, risk ownership, vendor review, and change approval belong in the workflows people use every day. We help define those controls and the people responsible for maintaining them.
Define practical controls
Document approved use, access boundaries, human review, vendor responsibilities, and change authority.
Maintain the evidence
Make reviews and decisions part of the operating cadence, with a visible backlog for unresolved gaps.
The work needs an owner after deployment.
We agree the business outcome, the systems involved, and the evidence needed to judge the result. An implementation is useful when the team can see whether it ran, whether the output met expectations, and who handles the next step.
Frameworks such as NIST AI RMF can inform the work. Alignment is not a certification, legal opinion, or guarantee of compliance.
- A business sponsor and accepted outcome
- Approved access and data boundaries
- A baseline for cost, quality, and reliability
- A clear escalation and change process
- A handover and next improvement backlog
Choose the service layer that fits the responsibility.
01 / Understand & improve
Private betaElevated AI GatewayRouting · Budgets · Access · EvidenceOptional control layer. Start with your existing tools.Blueprint
Two weeks to map the environment, baseline cost, and implement one improvement.
$7,500 fixed02 / Operate & optimizeVirtual AI Ops
A named operator, a regular review cadence, and an owned improvement backlog.
Starting at $5,000/month03 / Add control when justifiedManaged Private AI
A tailored deployment when your requirements make private AI the right choice.
Optional · scoped implementationYour business assets and operating responsibilities.
You own your data, business-specific AI assets, and the work Elevated AI creates for you. Foundation models remain subject to their own licenses. Portability depends on those licenses and the agreed architecture.
The Blueprint’s fixed scope includes one implemented improvement. Further work is agreed based on the model, data, integration, security, hosting, and operating needs involved. The initial discussion should make those boundaries clear before access or implementation begins.
Quick answers
How does an engagement start?
The AI Operations Blueprint is a fixed $7,500 engagement that reviews your current AI environment, establishes a cost baseline, designs an operating architecture, and implements one agreed improvement in two weeks. You leave with working progress, clear ownership, and a practical next-step plan. The fee is fully credited toward a qualifying implementation or managed-services agreement.
Can you work with our existing systems and IT team?
Yes. We begin with your current environment, approved access, and responsibility boundaries. Your team or MSP retains its core IT and business approval responsibilities.
Do we need a private model or Gateway?
No. We evaluate provider APIs and your existing controls first. Private AI is optional; Elevated AI Gateway is private beta and is not required to begin.
What happens after implementation?
The agreed handover defines ownership, evaluation, and support. Virtual AI Ops can supply a named operator and continuing reviews, starting at $5,000/month.
Make the next step concrete
Put an operator behind your AI.
Start with a two-week Blueprint. Leave with an operating plan and one improvement already in place.