Managed AI Operations / Industry context

Managed AI Operations for Agencies

Repeatable AI delivery needs cost visibility, client boundaries, and a dependable operating handover.

Start the $7,500 Blueprint See the operating model

Start with the work your team needs to improve.

Repeatable AI delivery needs cost visibility, client boundaries, and a dependable operating handover.

Client delivery

Define the workflow, approved information, review process, and responsibility for the delivered result.

Automation oversight

Make scheduled work, failed runs, and incomplete handoffs visible to the delivery team.

Provider coordination

Review model changes, usage attribution, and client-specific access boundaries.

Keep client delivery, model spend, and approval in the same view.

A repeatable delivery workflow needs more than a successful generation. Each client’s inputs, usage, review status, and publishing authority should remain separate, with a clear owner when a scheduled run or handoff fails.

Client permissions, licensing, and brand approval remain explicit parts of delivery. White-label specialist work is scoped through the MSP and partner program.

Client workspaces and source permissions stay separate
Model usage is attributed to the agreed client or project
Brand and factual review happen before publication
Failed runs create tasks for the delivery owner
Vendor changes are reviewed before they affect recurring work

Illustrative Blueprint scope

Make one recurring client workflow reviewable.

Choose a scheduled deliverable for one client. Add a review queue, client-specific usage attribution, and an alert for failed execution. Keep publishing approval with the people designated in the client agreement.

What we would measure

Compare failed runs, outstanding approvals, and attributable model spend with the baseline. Broader campaign performance and revenue outcomes are not assumed from this process improvement.

This is an example to discuss, not a prepackaged commitment or a completed client case. The two-week Blueprint includes one agreed improvement based on your environment and approved access.

Choose the service layer that fits the responsibility.

01 / Understand & improve

Blueprint

Two weeks to map the environment, baseline cost, and implement one improvement.

$7,500 fixed 02 / Operate & optimize

Virtual AI Ops

A named operator, a regular review cadence, and an owned improvement backlog.

Starting at $5,000/month 03 / Add control when justified

Managed Private AI

A tailored deployment when your requirements make private AI the right choice.

Optional · scoped implementation

Private betaElevated AI GatewayRouting · Budgets · Access · EvidenceOptional control layer. Start with your existing tools.

Your 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

Can you work behind our agency brand?

Referral, co-branded, and white-label specialist delivery can be scoped through the partner program. Client ownership, approval authority, and the division of delivery work are agreed before work begins.

Does this give AI permission to publish client work?

No. Publishing access is a separate, explicit part of the scope. The example workflow prepares and routes a deliverable for the client or agency reviewer designated in the agreement.

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.

Start the $7,500 Blueprint Book a working session