RAD Professional is a human-gated AI chief of staff you deploy and run on each client's own tenant — their data, your operations. It proposes; the executive approves; the workflow engine executes only then. A repeatable, securable, auditable service that turns one-off AI projects into recurring managed revenue.
Everyone's asking for an AI assistant — but you need something you can stand up, lock down and operate to your standards, not an opaque consumer app you can't manage or support.
Renting per-seat AI off a vendor leaves data residency unanswered and gives you no operational role — it doesn't map to a managed service, or meet tenancy and compliance needs.
One-off AI builds are a treadmill of scoping and handover. You want a repeatable line with monthly recurring revenue — deploy it once for a client, then manage it forever.
RAD Professional installs into the client's own Google Workspace and cloud — a human-gated chief of staff where n8n alone touches Gmail, Calendar or Drive, and only once the exec approves.
Nothing leaves their cloud. You own the deploy, the monitoring and the updates; they keep full data residency — the managed-service operating model you already know, now applied to AI.
Gated, auditable, approval-before-action design makes the security review straightforward — and turns into recurring managed revenue as you operate it across your client base.
Stand RAD Professional up inside the client's own Workspace and cloud — a repeatable install, their data, never leaving their tenant.
You own monitoring, patching and updates. Every action is proposed to the exec and runs only on approval — fully gated and auditable.
Recurring managed revenue, not a one-off project — the more clients you run it for, the more repeatable and profitable the line becomes.
Every email, meeting, document and task waits for the executive's approval before n8n executes it — and every proposal and decision is recorded in an immutable ledger. Gated, auditable, tenant-resident by design: the easy answer to the security review, and the foundation of a managed service you can stand behind.
Book a short exploratory session — we'll discuss the clients you'd serve, the tenant-resident architecture and the operating model, then map how you'd deploy and manage RAD Professional as a service in each client's own Google Workspace.