VZU Service · ai-pods
AI Pods.
Subscription AI delivery squads.
Eleven specialized pods. Product, Developer, Tester, DevOps, Architect, Marketing, Sales, Support, Operations, Finance, HR. Each pod runs on the VZU Agentic OS. Token-based metered capacity. Human supervisor in the loop.
The service
What AI Pods does.
Eleven specialized pods. Product, Developer, Tester, DevOps, Architect, Marketing, Sales, Support, Operations, Finance, HR. Each pod runs on the VZU Agentic OS. Token-based metered capacity. Human supervisor in the loop.
Built on: Agentic OS, VZU Studio.
The VZU platform, in detail →The engagement
How a AI Pods engagement works.
The service is built on the Netwit runtime, with the same MCP integration story as every other Netwit product. The service ships on the same cloud, hybrid, and on-prem modes. The service is not a separate codebase. The service is the Netwit runtime, configured for a specific workflow, with a specific set of MCP servers, with a specific audit posture.
The service is priced as a subscription, metered monthly by token consumption. The token math is published on the pricing page. The operator can estimate their bill before the pilot. The pilot is a 30-day engagement, fixed-fee, with a real ship date. The annual contract is priced based on the pilot's measured token consumption.
The right operator for the service is one who has a real workflow, a real team, and a real budget. The wrong operator is one who is shopping for a feature list. The service is not a feature list. The service is a runtime, configured for a workflow, with the operator's team trained on it. The service is the work, not the promise.
The next step is a 30-minute call with the VZU team. The call is from a human, not a chatbot. The call is a working session, not a sales pitch. The call ends with either a pilot engagement or a clear "not the right fit" — either way, the operator gets a real answer in 30 minutes, not a sequence of follow-up emails.
The economics
How a AI Pods engagement is sized.
The right engagement size: 1-2 weeks for a focused pilot, 4-8 weeks for a full deployment, quarterly for an ongoing engagement. The engagement is sized to the work, not to the budget. The work sets the timeline, the budget follows. The engagement is the proof.
The cost math: the cost is the runtime + the model + the audit trail. The runtime is a small fixed cost. The model is the operator's choice of model, on the operator's preferred provider. The audit trail is a function of retention policy. The cost math is published. The cost is the cost.
The right next step: a 30-minute call with the VZU team. The call is from a human, not a chatbot. The call ends with either a pilot or a clear "not the right fit" — either way, the operator gets a real answer in 30 minutes. The 30-minute call is the door. The door is open.
Get in touch
Brief VZU on AI Pods.
Two-week pilot, fixed-fee, with a real ship date. The architecture is real, the audit trail is on from day one.