RAD — Rapid Application Deployment — is the process that automates deploying industry solutions as Modules on Google Cloud, available to deploy at radmodules.dev. RAD Business and RAD Professional build on those RAD Modules to deliver a human-gated AI platform for your business and the executives who lead it. RAD Business runs everything you do to find, win and keep customers; RAD Professional gives every executive and manager a private chief-of-staff. AI drafts and proposes; a human approves; only then does anything go out under your name — the leverage of a full team, with the control of a human editor, and your data never leaves your cloud.
Choose your lens
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, a survey tool and a forms tool — each per-seat, each holding a slice of your data, none of them talking. A lean team can't keep cadence across marketing, sales and support, and "autonomous" AI is one bad send from a brand incident.
Every hire and channel adds a subscription. Costs grow with headcount, not value — and you own none of the system.
Rising cost, fragmented dataAutonomous AI is fast and dangerous: off-brand copy, hallucinated claims, content live before a human saw it. One incident outweighs a year of the tool.
Brand & compliance riskConsistent content, nurture, inbound, surveys and follow-up is a full-time function. Most teams pick well-and-slow or fast-and-thin. Neither compounds.
Output capped by headcountA typical SMB stack — CMS, email, social, AI writer, chatbot, CRM, surveys, forms — runs £1,500–£4,000+/month in subscriptions before a single asset is produced, with your data across eight vendors' clouds. RAD Business consolidates the whole function onto your Google Cloud project, where idle infra scales to near-zero and cost tracks usage, not seats — and every send still passes a human.
The promise: deploy once, repeat everywhere, bill monthly.
Clients keep asking for business automation and "AI for our business"; today you decline or quote a bespoke build you'll struggle to maintain. RAD Business is the productised answer — 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.
One guided, idempotent, resumable pipeline stands the whole stack up per client — schema, workflows, credentials, RAG, CRM — in days. Same playbook every time; no snowflakes.
Deploy once, repeat everywhereDeployment is the start, not the deliverable. Approvals oversight, content tuning, module updates, redeploy recovery and reporting become a monthly retainer.
MRR, not one-off feesRuns in the client's GCP (their data, their compliance) while you hold the operational keys. Scale-to-zero infra means low COGS and healthy margin.
High margin, sticky accountsThe promise: more accounts per strategist, white-labelled as yours.
Your growth is capped by people: every client's content, social, nurture, campaigns and reporting is hand-made, and margins thin as you scale. RAD Business is the engine room — AI drafts at volume across marketing, follow-up and surveys, your strategists approve and refine, and the human gate guarantees everything that ships is on-brand and compliant.
AI handles the first draft of content, nurture, inbound and campaigns across every account. Your team shifts from producing to approving and elevating — covering many more clients.
More accounts per strategistThe approval gate is your quality firewall: nothing reaches a client channel without human sign-off, grounded in that client's brand voice and KB. AI speed, agency standards.
Brand-safe at volumeAn open stack you operate, not a SaaS logo you resell. Present it as your proprietary capability, own the relationship and the retainer, differentiate on a platform.
Your brand, your moatIf a strategist today hand-produces for 3–4 accounts, an approve-and-refine model over an AI engine can lift effective coverage to 8–12+. The leverage: the human does the 20% that matters — judgement, brand, strategy — while the engine does the 80% that doesn't. Capacity, not cost-cutting, is the win: the same talented team, delivering more, at retainer margins that finally compound.
The promise: one build, three buyer segments, partner-led distribution.
Business automation is large, sticky and growing — and AI is reshaping it. 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. RAD Business is that wedge — one engine spanning marketing, sales, support, surveys, CRM and knowledge — productised on an open Google Cloud platform, distributed through partners rather than a costly direct sales motion.
Anyone can call an LLM. The defensible position is the governance around it: the human approval gate, data sovereignty (runs in the customer's cloud), and cost control — exactly where autonomous-AI tools are weakest and where regulated buyers spend.
One productised solution, deployed per client via an idempotent pipeline, operated as a managed service. Distribution rides on IT-services and agency partners (capital-efficient GTM) instead of an expensive direct sales force. Low infra COGS protects unit economics at scale.
Built on RAD's open module marketplace: RAD Business is the first productised solution, with a 70+ module catalogue to cross-sell onto the same customer cloud. Each partner-deployed account deepens the ecosystem and the switching cost.
Capital accelerates partner enablement, solution hardening and reporting, and a reference base of deployed accounts that validates CAC-through-partners and net revenue retention — a clear path from a built platform to a repeatable, partner-led revenue engine.
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.
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.