The agents run on AI Maestro, the open-source platform we also use for our own team. It is free, so what you pay for is the work: the Opportunity Sprint, the deployment and the operation.
Opportunity Sprint
We map your operational bottlenecks, rank which workflows are worth automating, estimate the value of each, and leave you with an implementation roadmap. You keep the roadmap whether or not you continue with us.
Deployment
An engineer works alongside your team to integrate, test and put one production capability into service. We start with the smallest useful agent, connect it to real systems, and prove it against real scenarios before scaling.
Operation and supervision
Deployed agents need monitoring, evaluation, security review and human approval paths. We operate and improve them as your processes change, and you can see how well they are working.
What changes
The backlog stops growing. The work nobody gets to runs overnight: chasing data between systems, triaging requests, rebuilding the same report every Monday. Your team reads the output instead of producing it.
One number to call. When an agent gets something wrong, you do not file a ticket with a software vendor and wait. You call us, and the engineer who deployed it is the one who fixes it.
You can audit it, and you can switch it off. Every action is logged, every rule is written down, and nothing runs that you cannot inspect or stop. Approval stays with your people on anything that touches a customer or a payment.
Agents that run in the cloud, not on someone's laptop
AI agents are moving off the desktop. Each one can now run in its own container in the cloud, isolated and with its own identity, and one platform manages them and connects them to each other.
AI Maestro is an open-source platform created by Juan Peláez (23blocks), brother of VirtualNet Cloud's CEO. Juan also owns 3Metas, a company our CEO co-founded. The platform is free. What VirtualNet Cloud provides is the implementation: setting up agent teams inside real operations and running them. See it on GitHub →
- Before
- Our own team works with AI Maestro every day, with 18 agents in use.
- Next
- The next step is for each agent to run in its own container in the cloud. That is how we set them up for a client: they do not depend on anyone's computer, and you can reach them from anywhere.
That changes who can have agents. You do not need a dedicated machine or a technical team behind it: the agents run in the cloud.
The rules on this page still apply to each one: it is supervised, every action is logged, and nothing reaches production without a named person signing off.
It starts with the Opportunity Sprint, which ranks the agent opportunities in your operation by value.
Engagements and rates
| Engagement | What you get | Typical duration | Price |
|---|---|---|---|
| Opportunity SprintMost asked for | Bottlenecks mapped, agent opportunities ranked by value, roadmap delivered and yours to keep. | 2 to 3 weeks | $2,500 to $5,000 |
| Agent Deployment | An engineer works alongside your team to integrate, test and put one production capability into service. | 6 to 12 weeks | $10,000 to $30,000 |
| Agent Operations | Monitoring, evaluation, security review, human controls and ongoing optimization once it is live. | Monthly, ongoing | $3,000 to $10,000 / mo |
A starting point, not a quote: final scope and figure are agreed in writing before work begins.
Request a quote
Thirty minutes on the phone is usually enough to tell you whether this is worth doing at all, and roughly what it would cost. If it is not worth doing, we will say so.
Tell us what you run.
We will tell you what it costs.
Thirty minutes on the phone is usually enough to give you a range you can take to your board.
Business hours get you the person who can put a figure on it.
Weston, FL 33326
Broward County, Florida. Visits by appointment.
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