Most agencies run AI by stitching together five SaaS subscriptions. ChatGPT for chat. Zapier for automation. Airtable for data. A separate vector store for retrieval. Another vendor for the agent layer. Each one bills per seat. Each one trains on what you send it. None of them talk to each other without a middleman.
The Managed AI Suite collapses that into one deployment on a server you actually own. Automation, chat, structured data, the agent layer, all running side by side in containers I deploy and maintain.
Hardened, not just installed
Most “AI bundles” you find online are a stack of Docker containers with default passwords and open ports. Mine is the opposite:
- Zero exposed ports. Every service binds to localhost. External traffic is proxied and filtered through Pangolin.
- Sandboxed execution. Each tool runs in its own container with strict network segmentation between services.
- Reproducible builds. Pinned versions, not
latest. Updates are tested in staging before they touch live. - Client-owned storage. Your data and encrypted backups live in your storage buckets. If you ever want to leave the service, you take the keys and walk.
This is a fit for agencies that already feel SaaS fatigue, handle sensitive client data, or want one engineer running the AI stack instead of five vendor relationships. If you only need the agent layer on its own, the leaner Managed OpenClaw tier covers OpenClaw hosting alone at 99€/mo. If you’re going further and architecting an autonomous company on top of this stack, Managed Paperclip Hosting is the orchestration layer I deploy on top. If your priority is an AI agent that safely runs high-risk commands behind a hardened, two-host sandbox, that’s a separate, security-led engagement: Managed Hermes Agent. The open-source pieces underneath get more attention in my open-source solutions writeups, and you can read more about how I work if we haven’t met.
When you’re ready to move from reading to deploying, apply for Access and we’ll scope the build on the discovery call.