How to Scope an 'Automate Everything' AI Assistant: 7 Steps

A business owner asked his IT-savvy friend to automate everything across three companies and his personal life. Here's how to turn that kind of request into a scoped, deliverable, and safe automation project.

h/t the IT professional who shared this request on r/automation.

A real request

A post on Reddit's r/automation captures a request many tech-savvy people are starting to get. An IT professional explained that a friend who owns several businesses asked him to build an "AI Assistant," an environment where "basically his whole life is automated," covering both personal and business matters.

One caveat up front: the source is a request for guidance, not a success story. There are no revenue figures, timelines, or results in the post. What it offers is a detailed look at what a real client wants.

What the client actually asked for

The friend runs two building/insurance repair businesses and an events business. The wish list includes "literally everything": emails, flights, scheduling, calendar management, jobs, finances, profit margins, research, content creation, "and much more."

Then comes the part that makes this an engineering project rather than a chatbot setup:

• A second user: he wants to share the system with another worker.
• Restricted access: the worker shouldn't see finances or the owner's private information.
• Separate accounts: the worker gets his own account, his own private conversations with the AI, and his own connected accounts.
• Shared resources: the worker can still access certain shared business information and use the bots he's been given permission to use.
• Real enforcement: the poster notes these restrictions "would obviously need to be enforced properly."

That last line is the key insight: this is a multi-user system with role-based permissions sitting on top of sensitive business and financial data.

Breaking the request down by complexity

Access control isn't a feature you bolt on later. If the worker can ask the AI a question and the AI has access to the owner's finances, a clever prompt might pull that data out. Permissions need to live in the data layer and the tool connections, not just in instructions to the AI.

Design adjustments that make it shippable

Narrow the first win. Pick one or two high-frequency pains, usually email and calendar. They show value quickly and carry less risk than money or travel bookings.

Separate businesses and users from the start. Three businesses plus a personal life means keeping data, documents, and connected accounts logically separate, then layering user roles on top: what the owner sees, what the worker sees, and what's shared.

Keep humans in the loop for irreversible actions. Customer emails, flight bookings, and anything involving payments should start as "AI drafts, human approves."

Assemble before you build. You probably don't need everything from scratch. Many builders combine workflow automation platforms, AI model APIs, and the apps the client already uses. Check each vendor's docs for data handling and multi-user permission features, since they directly affect whether you can enforce access restrictions.

Document security decisions. Write down where data is stored, who can access what, and how permissions are enforced.

Step-by-step checklist

1. Run a discovery session. List every task the owner mentioned and ask how often each happens and how painful it is.
2. Inventory systems and accounts. Every email account, calendar, job tracker, accounting tool, and shared drive across each business and the personal side.
3. Define users and roles. Build a simple access matrix: owner, worker, future staff. Mark each data source and bot as owner-only, shared, or worker-specific. Get sign-off.
4. Choose your stack. Decide what you assemble from existing tools and what needs custom code. Confirm each tool supports the separate accounts and permissions you need.
5. Ship Phase 1. Email triage and calendar management first, with AI drafting and human approval. Test with real but low-risk data.
6. Add the second user and test permissions. Log in as the worker and actively try to access finances or private data. Fix any leaks before expanding scope.
7. Expand in phases and set up support. Job tracking, then read-only financial reporting, then higher-risk actions like bookings. Agree on maintenance so integrations get fixed when they break.

This isn't a weekend project: the security, multi-user, and integration work make it hard. But a phased, permission-first approach gives you the best shot at delivering something the client keeps using.

Try this today: write a one-page access matrix for a business owner you know: their main tasks, the systems involved, and who should see what.

Originally published on SoloAgentFlow.