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
A dark AI workspace: a nine-card case library screen surrounded by a live chat panel, a sales chart and a finance ledger
09 complete scenarios
  • 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.

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.

  • Real estate

    Listings, enquiries, viewings, follow-up.

  • Trading

    Products, suppliers, quotes, orders.

  • Professional services

    Client files, documents, communication, projects.

The path most companies take

  1. 01AI as a toolPeople use AI to work faster.
  2. 02AI employeesEach role gets its own AI.
  3. 03AI teamSeveral AI employees run one process.
  4. 04AI managementAn AI executive coordinates the team.
See the four stages in detail

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