What people mean by an AI employee
The phrase describes a shift from AI that answers questions to AI that does a job. A chatbot gives you a draft and leaves the rest to you. An AI employee is handed a responsibility, such as keeping the inbox clear or making sure invoices get chased. It then works through the steps itself: reading the messages, checking the records, preparing the reply and filing the result.
It is still software, not a person. It works from the instructions, information and access you give it. The difference from older automation is that you describe the job in plain words instead of building a rigid chain of rules. It also copes with the variation that real customers and suppliers bring.
Which small-business jobs suit one
The best first jobs are frequent, repetitive and easy to check. Good examples are sorting incoming email, answering routine enquiries, offering appointment times and sending reminders. Chasing overdue invoices, pulling the same numbers into a weekly report and keeping customer records up to date also fit well.
Jobs that rest on judgement, relationships or risk are better kept with a person, or at least behind an approval step. An AI employee can prepare the pricing of a tricky job, a reply to a complaint or a contract change, but the decision should stay yours.
How it works in Kaer
Kaer calls them AI assistants and offers six roles to start from. They cover the inbox, the diary, jobs from first enquiry to paid invoice, a shared file of your business context, internal tools and scheduled routine work. You give each one a role, a brief, the tools it may use and the steps that wait for you. They all answer from the same shared context of prices, policies, suppliers, past jobs and email history.
Where Kaer has built a direct connection to a tool, it uses it. Otherwise it signs in and works the tool in its own sandboxed browser, including supplier portals and back-office systems with no API.
Staying in control
Kaer assistants work nights, weekends and the week you are away. By default, email sent from Kaer Mail or a connected mailbox waits for a person, as do team chat messages, social posts and payments. You choose what, if anything, may go out without asking. One example is an auto-reply rule for delivery enquiries, which runs only after you turn it on.
Each task keeps a record of the steps taken and the tools used, so you can see how a result was reached. You grant each connection yourself and can revoke any one without touching the others. Work runs on Kaer's own isolated computer, not on your machine.
Kaer never uses your data to train third-party models. The "Help improve our services" setting is on by default. While it is on, Kaer uses how you work with it, with secrets removed, to improve its services and train its own models. You can turn it off at any time in "Settings".
Limits and what to watch for
An AI employee is only as good as its brief and its information. Write down your prices, policies and tone before you hand over customer-facing work. Read the first drafts closely before you loosen any approvals.
In Kaer, working websites in its own browser and running workflows come with paid plans. How many assistants can run at once also depends on the plan. The pricing page lists the current plans and what each includes.
How to start
Pick one job that is sitting in your inbox today and describe the outcome you want in plain words. Kaer shows its plan, does the work and pauses before anything with a consequence. Once the result is right, say you want it again. The job then becomes a workflow that runs on a schedule with the same approvals, so the routine keeps going without anyone having to remember it.