Cost & usage
Know which workflows create spend, what they deliver, and where the next budget decision belongs.
Managed AI Operations
Managed AI Operations for companies using AI in production.
Your AI. Your data. Your rules. We operate the system that makes it work.
$7,500 fixed · Two weeks · One implemented improvement
One accountable operator.
Built from real operating work
California Deluxe WindowsCall LogikView the documented case →The work around the model
AI access is the beginning. Operation is the ongoing work.
You already pay for the models. An operator takes responsibility for the decisions, integrations, and follow-through that make them useful to the business.
Models & routing
Match the work to a suitable model. Review changes before they alter the behavior your team relies on.
Governance & control
Give policies an owner, document decisions, and keep access and data handling connected to everyday work.
Reliability & response
Watch execution, review failures, coordinate escalation, and make recovery a repeatable process.
Integration & handoffs
Keep AI connected to your CRM, service desk, business systems, and the people responsible for the next step.
Evaluation & improvement
Review output against agreed criteria and turn operating evidence into a prioritized improvement backlog.
One operating model
Start with clarity. Build an operation that improves.
A focused entry engagement, ongoing operating ownership, and more control when the requirements justify it.
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 implementationThe first two weeks
A plan you can use. An improvement you can see.
Start with a concrete result
AI Operations Blueprint
$7,500 fixed
Two weeks, with one agreed improvement implemented.
Start the $7,500 Blueprint- Current AI environment review
- Usage and cost baseline
- Operating architecture and responsibility map
- One agreed, implemented improvement
- Prioritized next steps and handover
100% of the Blueprint fee is credited toward a qualifying implementation or managed-services agreement.
Virtual AI Ops
Your AI has a named operator.
Weekly operating reviews, cost visibility, model and vendor change management, and an improvement backlog with someone accountable for moving it.
Starting at $5,000/month
- Weekly operating review
- Usage and cost oversight
- Model and vendor change review
- Incident and governance coordination
- Prioritized improvements
- Executive operating summary
Managed Private AI / Optional
The right amount of control for your business.
Private AI is a decision about requirements, not a default recommendation. We compare privacy, residency, model control, customization, and measured economics with your existing provider options.
Implementations typically start in the mid-five figures; scope depends on model, data, integration, security, and hosting requirements.
- Start with requirements and a working baseline
- Use provider APIs when they meet the need
- Document data, asset, and foundation-model rights
- Include the cost of ongoing operation
Elevated AI Gateway / Private beta
A control layer underneath the operation.
A common point for provider access, routing, budgets, usage attribution, and evidence. Gateway supports the architecture; it is not required to begin.
Who this is for
Your AI is in production. Its ownership should be, too.
- You already use AI tools or provider APIs
- Several applications or vendors need coordination
- There is no dedicated internal AI operating team
- A business sponsor can make decisions and own the outcome
Start with the problem your team feels: spend that is hard to explain, a workflow that fails quietly, an unreviewed model change, or a handoff that nobody owns.
We work alongside internal IT and MSPs, with a clear agreement about who handles each part of the operation.
Operational proof
The conversation is only part of the job.
California Deluxe Windows / Call Logik
From answering calls to owning the follow-through.
Voice AI handles the conversation. Call Logik makes the transcript, review, escalation, and next action visible to the team operating the service.
1,900+Calls processed
1,860Calls reviewed
690Follow-ups surfaced
Published production snapshot · May 2026. Historical counts, not live totals.
Read the operating storyFor MSPs
Keep the relationship. Add specialist AI operation.
Referral, co-branded, and white-label delivery. Your team keeps the account and core IT; Elevated AI supplies the agreed specialist AI work.
The operating journal
Understand the work before you commit.
Quick answers
What does an AI operator actually manage?
Model and vendor choices, routing, budgets, integration reliability, output evaluation, governance evidence, incident coordination, and the improvement backlog. Scope and responsibility boundaries are agreed with your team.
How is this different from MLOps or AIOps?
MLOps concentrates on the machine-learning development and deployment lifecycle. AIOps commonly means applying AI to IT operations. Managed AI Operations is our business operating service for the AI systems your organization uses, including provider APIs and existing software.
Do we need private AI?
No. Existing provider APIs may be the right architecture. We recommend private AI only when privacy, residency, control, customization, or measured economics justify it.
Can you work with our IT team or MSP?
Yes. Your team or MSP keeps its core IT responsibilities. Elevated AI owns the agreed specialist AI operating work and coordinates changes, incidents, and vendors with them.
Is Gateway required to get started?
No. Elevated AI Gateway is in private beta. Engagements can start with your existing platforms and controls; a gateway is introduced only when it fits the architecture.
What do we receive for $7,500?
An environment review, cost baseline, operating architecture, one implemented improvement, and a prioritized next-step plan. The exact improvement and access requirements are agreed at kickoff.
What does Virtual AI Ops cost?
Virtual AI Ops starts at $5,000/month. Final scope depends on the systems, operating workload, and responsibilities agreed. Provider API, infrastructure, and other vendor charges are separate unless your agreement says otherwise.
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.