RAD Business runs everything you do to find, win and keep customers. RAD Professional gives every executive and manager a private chief-of-staff. Both deploy entirely into your own Google Cloud, where your data never leaves.
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The RAD Business Engine
Not another point SaaS tool: a complete, self-hosted business operation deployed into your Google Cloud project. AI generates the work across marketing, sales follow-up, support, surveys, CRM and internal knowledge; every customer-facing action is staged for human approval; only an approved row is ever sent. The output of a full team, with the control of a human editor and the cost profile of serverless.
Blog publishing, repurposed to LinkedIn, X, dev.to, YouTube, Shorts & Reddit — UTM-tagged, on-brand, grounded in your KB. Drafted by AI, staged for approval, never auto-posted.
Prospecting and web/chat capture feed a governed pipeline; an AI nurture state machine drafts timed follow-ups; onboarding handled end-to-end — every outbound gated by a human.
Inbound email classified and a reply drafted for approval; a website AI chatbot answers from your real content with citations, books meetings and never goes off-message.
Run bulk email campaigns and customer surveys from the same engine — drafted and segmented by AI, sent only once a human approves. Responses flow back as structured signal.
Weekly competitor and in-market intent scanning surface who's buying; leads sync idempotently into your CRM so contacts stay current. Your Directus layer stays authoritative.
An "ask-the-company" assistant answers staff questions from your own docs with citations — grounded, governed and routed through a cost-controlled gateway. No runaway token bills.
The RAD Professional Chief-of-Staff
Where RAD Business reaches your customers, RAD Professional gives each of your leaders their own AI chief-of-staff inside their own Google Workspace. It triages the inbox, runs the calendar, briefs them before meetings, drafts in their voice, answers from their own files and runs research. It proposes; they approve in a chat thread; only then does anything happen in their name. Nothing is sent, booked or committed autonomously.
Sorts and summarises the inbox, surfaces what actually needs the exec, and drafts replies in their voice — staged for a one-tap approval, never sent on its own.
Runs the agenda, proposes times and books only on approval, and hands over a tight prep pack — who, what, history, what's at stake — before each meeting.
A morning digest of the day — calendar, priority mail, open approvals and relevant research — plus a two-minute brief before any meeting. Read-only; it just happens.
Replies, memos and Google Docs written in the exec's voice. It drafts; they read and approve; only then is anything created, shared or sent under their name.
Answers grounded in the exec's own Drive and Docs, with citations — a private knowledge assistant over their own files. No data handed to a third-party SaaS.
Quiet web research on a company, person or topic — through a private search pipeline — summarised back; loose ends turn into tracked tasks on approval.
The promise: AI output, human control, your data — at the cost of serverless.
You pay for a CMS, an email platform, a social scheduler, an AI writer, a chatbot, a CRM — each per-seat, none of them talking. RAD Business consolidates the whole function onto your own Google Cloud project.
The promise: deploy once, repeat everywhere, bill monthly.
Deploy onto each client's Google Cloud with one command, operate as a managed service, bill monthly — on infrastructure the client owns and you administer.
The promise: more accounts per strategist, white-labelled as yours.
AI drafts at volume across marketing, follow-up and surveys; your strategists approve and refine; the human gate guarantees everything that ships is on-brand and compliant.
The promise: one build, three buyer segments, partner-led distribution.
The winning wedge isn't "more autonomous AI"; it's governed AI that enterprises and agencies will trust their brand to — human-gated, self-hosted, cost-controlled, distributed through partners rather than a costly direct sales motion.
Why Tech Equity Cloud
RAD Business is composed from the same battle-tested RAD modules that have run production workloads on Google Cloud Platform for years — a deployable, documented, human-gated system, validated end-to-end, with a guided pipeline that stands it up reliably for each customer.
Most "AI for business" is a closed SaaS that acts on your behalf and holds your data. RAD Business inverts that: an open, self-hosted engine spanning marketing, sales, support, surveys, CRM and knowledge that drafts at AI speed but ships nothing without a human, runs on infrastructure the customer owns, and governs its own AI spend. For buyers it's control; for partners it's a high-margin, repeatable service; for investors it's the trustworthy wedge into an AI-reshaped market — one build, four ways to win.
Technology Director at Tech Equity Cloud Services Ltd, holding multiple Google Cloud certifications (Professional Cloud Architect, Cloud Security Engineer, Cloud Developer) and a research background from the University of Manchester. RAD's human-gated architecture comes directly from years spent building and securing production Google Cloud platforms — the same discipline applied here to AI. LinkedIn ↗
How it begins
Whichever side of the table you're on — buying the engine, delivering it to clients, or funding the rollout — the next step is a focused, exploratory session to discuss your goals, where RAD Business can add the most value, and scope the path.
A guided walkthrough grounded in your content, and a scoped deployment into your GCP.
Walk the deployment pipeline and the managed-service operating model and margins.
Model the white-label service and the approve-and-refine capacity uplift.
The thesis, the partner-led GTM, the unit economics, and the use of funds.
Takes a minute — we'll email you back to confirm a time.