AI use cases
Don’t look at what AI can do. Look at how a company actually works with it.
Nine complete scenarios — not nine service pages. Each one shows who does the work, what gets handed to the next AI employee, and what the people keep.
- 9 case scenarios
- One AI employee to a team
- People + AI + systems
- 01Start with one role
- 02Hand work between AI employees
- 03Let AI coordinate the routine
Case library
Nine ways businesses already put AI employees to work
Different companies start in different places — a support inbox, a sales pipeline, a pile of documents, or the everyday coordination of work. Every card opens the full scenario.
These cases illustrate typical ways of working. Any business can recombine the AI employees and workflows for its own situation.
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Case 01
One person can run a complete company
A founder covers sales, support, website, marketing and finance. What limits the company is not opportunity — it is 24 hours a day.
- Support AI
- Sales AI
- Document designer
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Case 02
International customers, without everyone watching the inbox
Customers arrive on WhatsApp, LINE, email and the website at different hours. AI receives first; people step in for price, contracts and decisions.
- Multichannel support
- Sales AI
- Document AI
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Case 03
One opportunity, handed across several AI employees
Research, first contact, requirement notes, proposal, delivery and follow-up move between roles — the way a real company works, not one AI.
- Sales AI
- Email AI
- Document designer
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Case 04
A website that keeps up after launch
Pages, content, products and visuals are maintained by AI employees around one site, so the site follows the business instead of ageing.
- Website admin
- CMS AI
- Product admin
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Case 05
From a pile of files to a usable deliverable
Tell the document designer where the material is and what you need. It reads, structures and produces a first version you can revise in place.
- Document designer
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Case 06
Finance records start when the work happens
A receipt, invoice or photo is uploaded when the business event happens — instead of a month-end pile of paper.
- Finance AI
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Case 07
From managing AI employees to AI managing the work
An AI executive checks open leads, unanswered customers and overdue tasks, assigns the right AI employees, then reports the result.
- AI executive
- Team coordination
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Case 08
A company can gradually become an AI-managed business
Four stages: AI as a tool, AI employees, an AI team, AI management. Nobody has to jump to the end on day one.
- Four stages
- People set direction
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Case 09
Your own business is the next use case
Real estate, trading, professional services — the workflow is built around your products, customers and documents, not around our examples.
- Your workflow
- Your roles
Not a template
Your own business is the next case
A real estate company builds around listings, buyers, viewings and follow-up. A trading company builds around products, suppliers, quotes and orders. A professional services firm builds around client files, documents, communication and projects.
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Real estate
Listings, enquiries, viewings, follow-up.
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Trading
Products, suppliers, quotes, orders.
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Professional services
Client files, documents, communication, projects.
The path most companies take
- 01AI as a toolPeople use AI to work faster.
- 02AI employeesEach role gets its own AI.
- 03AI teamSeveral AI employees run one process.
- 04AI managementAn AI executive coordinates the team.
Start from your business
The best use case is not someone else’s. It is yours.
Pick one problem that happens every day. Give it a first AI employee. Let it actually work — then decide the next step.
- Customer support
- Sales
- Documents
- Website
- Finance
- Coordination