RAD is a solution factory: one engine — capabilities, a human approval gate and a cost-governed model gateway — ships many products. Every outward action is proposed, approved, then executed, on the customer's own cloud. That is what makes AI safe to sign off at the top of an organisation.
Two products already ship off one engine — RAD Business and RAD Professional both inherit the same approval gate.
Most models are good enough. What stalls deployment is liability: an agent that sends or commits on its own is something no senior leader signs off. The blocker is governance, not intelligence, and it shows up as the deal that stalls in security review.
Residency, control and "where does our data live" are now hard requirements, not procurement footnotes. Tools that pool mail, calendars and files in third-party SaaS are on the wrong side of an increasingly regulated line.
A single clever feature is copied in a quarter. Durable value needs a structural wedge — something rivals can't replicate just by shipping the same model behind the same familiar chat button.
Propose → approve → execute turns AI from a liability into something signable. The gate is a trust primitive baked into the architecture, not a setting — and it's what unlocks deals point tools can't reach at all.
Everything runs inside the customer's own cloud and Google Workspace; no data leaves their account. Sovereignty isn't bolted on — it's the deployment model, and a durable edge as residency requirements harden into law worldwide.
One engine — capabilities, the gate and a cost gateway — ships many products. RAD-Business (outbound) and RAD-Professional (the chief-of-staff) are siblings off the same core, each reusing the moat instead of rebuilding it.
Capabilities, the approval gate and a governed model gateway — built once, hardened once, shared across every product that ships from it.
RAD-Business sells outbound; RAD-Professional is the private chief-of-staff. Siblings off the same core, so the engineering and trust investment compounds with each new release.
Each product deploys into the customer's own cloud, gated by the same trust primitive — the differentiator travels with it into every new deployment, not just the first.
Products shipping off one engine today — outbound business automation and the exec chief-of-staff.
Of outward actions gated by human approval, and 100% of customer data resident in the customer's own cloud.
Reusable moat — the human-gate — that every new product inherits instead of rebuilding.
Anyone can wire a model to an inbox. What's hard — and what compounds — is the architecture that makes an AI safe to sign off on at the top of an organisation: propose, approve, execute, on the customer's own cloud, with an immutable ledger of every decision. That trust primitive is the durable, repeatable advantage the factory ships into every product, and it's the reason a security-conscious buyer says yes where a competitor's pitch stalls.
Book a short exploratory session — we'll discuss the thesis, the moat and the model: the human-gate architecture, the sovereign in-Workspace deployment and where RAD Professional goes next.