---
title: "AI Employees: What They Are and How to Hire One | Reason Machines"
description: "What an AI employee is, how it works, how it differs from RPA and automation scripts, what it can and can't replace, what it costs to run (prices as of November 1, 2026) and how to hire one in Reason in seven steps."
url: "https://reasonmachines.com/ai-employees"
section: "AI employees"
---

# AI employees: what they are and how to hire one

An AI employee is an AI agent that does one recurring job on its own: it follows standing instructions, uses the tools you connect, starts on a schedule or trigger, remembers earlier runs and asks a person to approve the steps that matter. In Reason, each AI employee is a Reason that works on its own cloud computer, wakes on a Loop or a Slack message, uses connectors like Gmail, Google Calendar, Slack, Stripe, PostHog and GitHub, and asks for your approval before it sends anything that matters.

Updated Nov 2026

[Start with Reason](https://reasonmachines.com) on the web, or [Download for macOS](https://reasonmachines.com/download).

## How to hire an AI employee in Reason

1. **Pick one job with a clear result**: Start with work you already repeat, and write down what done looks like, for example "every weekday at 8:00, post yesterday's signups and new revenue in #metrics". One job per AI employee keeps its instructions short and its results easy to check.
2. **Create a Reason and write its instructions**: In the Reason web app or the Mac desktop app, create a Reason: a named agent with its own instructions. Say what it does, which sources it trusts, who it may reply to, and what it must never do.
3. **Connect the tools the job needs**: Add connectors in Customize: Google Workspace for Gmail and Calendar, Slack, Stripe, PostHog, GitHub and others. Each acts with the access of the account you connect, so connect only what the job needs.
4. **Set its approvals**: Decide what it must ask you before doing: sending email, replying where customers see it, changing billing or merging code. Start strict; loosen a rule later.
5. **Do the job once together**: Ask the Reason to do the job once in a chat while you watch, and fix its instructions before anything runs unattended.
6. **Give it a Loop**: A Loop wakes the Reason on a schedule (every 30 minutes, or a cron such as weekdays at 8:00), on a webhook, on a GitHub event, or when a message arrives in a Slack channel it listens to. Each run works on Reason's cloud computer, so it keeps going while your laptop is closed.
7. **Review the first runs and correct it**: Read the first few results, tell it what to change, and it saves the correction to memory so the next run starts from it. Widen what it may do on its own only once its results hold up.

## How an AI employee works

An AI employee is five pieces of setup around an AI model, each answering a question you would ask about a new hire: what is the job, what can it touch, what does it remember, when does it work and what must it check with you first.

| Part | What it does | In Reason |
| --- | --- | --- |
| Instructions | Standing directions for one job: the goal, trusted sources, who it may talk to and what it must never do | A Reason's instructions, in plain language |
| Tools and connectors | The accounts and software it acts through, with the permissions you grant | Connectors such as Google Workspace, Slack, Stripe, PostHog and GitHub, plus a browser and a terminal on its own cloud computer |
| Memory | Preferences, decisions and corrections that carry from one run to the next | Memory that keeps your corrections across runs |
| Schedule or trigger | What starts work without anyone typing a prompt | Loops: a schedule, a webhook, a GitHub event or new messages in a Slack channel |
| Approvals | The steps a person must say yes to before they happen | Gmail sends show a preview first; workspace rules and instructions can require a yes before other steps |

## AI employee vs AI agent vs chatbot

A chatbot answers when you ask. An AI agent takes a task and uses tools to finish it. An AI employee is an agent that owns a job: it starts on its own, does the work with real tools, remembers what happened last time and hands you a result to approve. The difference is in how the work is set up, not in the model underneath.

|  | AI chatbot | AI agent | AI employee |
| --- | --- | --- | --- |
| Starts work | When you type a prompt | When you give it a task | On a schedule, a webhook, a GitHub event or a Slack message |
| Instructions | Repeated in each chat | The task description | Standing instructions for one job |
| Tools | Mostly text in, text out | Calls tools and takes actions to finish the task | Connected accounts: email, calendar, Slack, Stripe, analytics, code |
| Memory | The current conversation | The current task | Notes and corrections that carry across runs |
| Where it works | Your browser tab | A browser or computer for the length of the task | Its own cloud computer, with a browser and a terminal |
| Output | An answer | A finished task | A finished piece of work for you to approve: a report, a reply, a pull request |

## AI employee vs RPA and automation scripts

Robotic process automation (RPA) bots and automation scripts follow steps someone wrote in advance: click here, copy this field, call that API. They do exactly the same thing every time, which suits high-volume work whose inputs never change, and they fail when a screen, a file format or an input changes in a way the script did not expect.

An AI employee works from plain-language instructions instead of fixed steps, so it can read an email it has never seen and decide which reply fits. It can also be wrong in new ways, so it needs approvals on anything that matters. Many teams use both: scripts for fixed steps, AI employees for work that needs reading and judgment.

|  | RPA bot or automation script | AI employee |
| --- | --- | --- |
| How you set it up | Record or write each step | Describe the job and what done looks like |
| Handles inputs it hasn't seen | No: it stops or fails | Often, within its instructions |
| Same result every run | Yes | Not always, which is why approvals matter |
| Best for | High-volume, fixed steps | Reading, writing, sorting and deciding within rules |
| When something changes | Someone edits the script | You correct it in plain words and it remembers |

## The four things an AI employee needs

- Autonomy: it starts work without a prompt. In Reason, a Loop wakes it on a schedule, a webhook, a GitHub event or new messages in a Slack channel.
- Memory: it keeps your preferences, decisions and corrections across runs, so the next run starts from what you told it last time.
- Tool use: it acts through the accounts you connect, such as Gmail, Google Calendar, Slack, Stripe, PostHog and GitHub, and through a browser and a terminal on its own cloud computer.
- Handing off to a human: it asks for your approval before it sends Gmail or takes any step your instructions mark, and it reports back in the app or in the Slack thread where the work started.

## Common AI employee roles

Each guide below sets up one role in Reason: the job, the connectors it needs, the Loop that wakes it and what it asks you before acting.

- [AI executive assistant: inbox and calendar](https://reasonmachines.com/ai-employees/ai-executive-assistant.md)
- [AI revenue and metrics analyst](https://reasonmachines.com/ai-employees/ai-revenue-analyst.md)
- [AI customer support agent](https://reasonmachines.com/ai-employees/ai-customer-support-agent.md)
- [AI social DM manager](https://reasonmachines.com/ai-employees/ai-social-dm-manager.md)
- [AI investor update assistant](https://reasonmachines.com/ai-employees/ai-investor-update-assistant.md)
- [AI employees for small business: 5 starter roles and 9 tools](https://reasonmachines.com/ai-employees/ai-employees-for-small-business.md)

## What a day looks like

An example, not a customer story: a small team runs three AI employees in Reason, one job each. Nobody opens a laptop to start them.

- 7:30: a Loop wakes the executive assistant on its cloud computer. It reads today's Google Calendar and posts a briefing in Slack.
- 8:00: the metrics analyst reads Stripe and PostHog with read-only access and posts yesterday's signups and new revenue in #metrics.
- 10:15: a teammate mentions the assistant in a Slack thread to move a meeting. It changes the Calendar event and drafts a note to the guest, which goes out only after someone approves the Gmail preview.
- 13:00: a GitHub event wakes the third AI employee when an issue gets the bug label. It reproduces the bug on its cloud computer and opens a pull request for an engineer to review.
- 16:30: you tell the analyst to list new paying customers first. It saves that to memory, and tomorrow's post follows it.

## What AI employees can and can't replace

AI employees replace tasks, not whole roles. They are best at work you can describe in a paragraph and check in a minute, done the same way every time.

- Good to hand over: morning reports and metrics posts, inbox triage and first drafts, scheduling, first answers to questions your docs already cover, follow-up lists, research summaries and routine code changes.
- Keep with people: new or high-stakes decisions, relationships, negotiation, hiring, legal and financial sign-off, and anything a customer should hear from a person.
- Keep a person accountable: someone decides what each AI employee does, reviews what it sends and handles the cases it was not set up for.

## What an AI employee does in Reason today

- Works on its own cloud computer: it runs commands, uses a browser and keeps working while your computer is off.
- Lives in Slack: people mention it or message it, and you set the channels it listens in, who may talk to it and when it replies.
- Handles email and calendar through the Google Workspace connector: it reads and changes Calendar events, and drafts or sends Gmail that you approve first.
- Reads business data through connectors such as Stripe for revenue and PostHog for product analytics.
- Writes and ships code: it opens pull requests in your GitHub repositories, which is what Reason was first built for.
- Works with your other agents: on Reason Network it can message Claude Code, Codex, Grok Bot, Muse and ChatGPT sessions you already use.

## What an AI employee can't do yet

- Take phone calls. Reason has no phone or voice receptionist.
- Have its own mailbox. A Reason gets no email address of its own; it sends through a Google account you connect, and new Google connections cannot read the inbox until Google finishes reviewing that access.

## Safety and approvals

An AI employee can reach only what you connect, with the permissions of the account you connect it with. Treat its access the way you would a new hire's: the least it needs, widened as it earns trust.

- Connect the narrowest access the job needs: read-only for reporting jobs, and a dedicated account for an AI employee a whole team shares.
- Every Gmail send through the Google Workspace connector shows a preview, and only that exact message can be sent.
- A workspace rule in Settings can make your Reasons ask before any email, and instructions can require a person's yes before posting where customers see it, changing billing or merging code.
- In Slack, you choose the channels it listens in, who may talk to it and when it replies.
- Code changes arrive as pull requests that a person reviews before they merge.

## What it costs to run an AI employee

Reason Pro is $50 a month per person with cloud computers, Loops and 1,250 credits of usage a week; Max is $200 a month with 5,000. One credit is $0.04, and AI employees share the plan's usage rather than costing a fee each. Models you connect yourself, such as a ChatGPT or Claude subscription, bill through that provider.

Prices below are as of November 1, 2026, from each vendor's own pricing page. Products bill in different units, so the lowest listed price is not always the cheapest to run: cost grows with how often an AI employee runs and how much each run does.

| Product | Listed price as of November 1, 2026 | What you pay for |
| --- | --- | --- |
| Reason | Pro $50 a month per person (3-day free trial for eligible new customers); Max $200 a month | Per person; every AI employee shares the plan's weekly credits |
| Lindy | Free: $50 in credits for 7 days; Team from $49.99 a month per active user for 5,000 credits; Enterprise: Contact sales | Per active user, plus credits that do not roll over |
| Relevance AI | Pro $19 a month billed yearly ($29 monthly); Team $234 billed yearly ($349 monthly); Enterprise: Contact sales | Actions, counted each time an agent runs a tool, plus Vendor Credits for model and tool costs |
| Zapier Agents | Agents Free (400 activities a month); Agents Pro $50 a month, or $33.33 a month billed yearly | Activities |
| Marblism | $24 a month billed yearly, $44 billed monthly | All seven of its AI employees and 50 hours of work |
| Sintra | Sintra X $15.60 a month on a 12-month plan, $48.50 on a 1-month plan (shown as sale prices); single helpers $39 a month | Twelve helpers and 250 credits a month |
| Microsoft Copilot Studio | Pay-as-you-go or prepaid Copilot Credits; per-credit rate Not published on its pricing page | Copilot Credits; needs an Azure subscription |
| Salesforce Agentforce | Start free with Salesforce Foundations; Flex Credits $500 per 100,000 credits; add-ons from $125 per user a month | Flex Credits or per-user add-ons |
| Artisan | Not published: Contact sales | Plans sized to lead volume, mailboxes and dialer seats |

- [Best AI employees in 2026: 12 compared](https://reasonmachines.com/ai-employees/best-ai-employees.md)
- [AI agents for business: 9 tools compared](https://reasonmachines.com/ai-agents-for-business.md)

## Sources

Reason's plans come from Reason's own plans page. Every other price and feature on this page was read from that vendor's own site on November 1, 2026; check the linked page before you buy. Lindy, Relevance AI, Zapier, Marblism, Sintra, Microsoft, Copilot Studio, Salesforce, Agentforce and Artisan are trademarks of their owners. Reason Machines is not affiliated with or endorsed by them.

- [Reason plans and credits](https://docs.reasonmachines.com/docs/plans)
- [Lindy pricing](https://www.lindy.ai/pricing)
- [Relevance AI pricing (docs)](https://relevanceai.com/docs/get-started/pricing)
- [Zapier pricing (Agents plans)](https://zapier.com/pricing)
- [Marblism pricing](https://www.marblism.com/pricing)
- [Sintra pricing](https://sintra.ai/pricing)
- [Microsoft Copilot Studio plans and pricing](https://www.microsoft.com/en-us/microsoft-365/copilot/pricing/copilot-studio)
- [Salesforce Agentforce pricing](https://www.salesforce.com/agentforce/pricing/)
- [Artisan pricing](https://www.artisan.co/pricing)

## Questions

### What is an AI employee?

An AI employee is an AI agent set up to do a recurring job on its own: it has standing instructions, connected tools, a schedule or trigger, and memory across runs, and it hands you results to approve instead of waiting for a prompt.

### Is an AI employee the same as an AI agent?

Every AI employee is an AI agent, but not every agent is an employee. "AI employee" describes how the agent is used: one job, running on its own schedule with its own tools, instead of answering one question at a time.

### How is an AI employee different from RPA or an automation script?

RPA bots and scripts repeat fixed steps someone wrote in advance and stop when an input changes. An AI employee works from plain-language instructions, so it can handle inputs it has not seen, but it can also be wrong in new ways, which is why it needs approvals and review.

### Will AI employees replace my team?

They take repeatable work off people's plates, such as morning reports, inbox triage, first replies and follow-ups. Someone still decides what each one does, reviews what it sends and handles the cases it was not set up for.

### Is it safe to give an AI employee access to my accounts?

It can be if you limit what it can reach and do alone: connect only what the job needs, prefer read-only access, and require approval before anything leaves your company. In Reason, every Gmail send shows a preview and only that exact message can be sent.

### Do I need to code to hire an AI employee?

No. You write instructions in plain language, connect accounts in Customize and set a Loop. Reason can also write and run code when a job needs it.

### Can a Reason AI employee answer phone calls?

No. Reason has no phone or voice receptionist features. Its AI employees work through a cloud computer, Slack, email you approve, calendars and the business tools you connect.

### How much does an AI employee cost in Reason?

Reason Pro is $50 a month per person and includes cloud computers, Loops and 1,250 credits of usage a week; Max is $200 a month with four times the weekly usage. Eligible new customers can start Pro with a 3-day free trial. Every AI employee you set up shares your plan's usage; there is no per-employee fee.

### Where does my AI employee's work run?

On Reason's cloud computers by default, so it keeps working while your computer is off. You can also connect your own Mac or PC and have it work there.

## More about AI employees

- [AI agents for business](https://reasonmachines.com/ai-agents-for-business.md)
- [AI workforce](https://reasonmachines.com/ai-workforce.md)
- [AI executive assistant](https://reasonmachines.com/ai-employees/ai-executive-assistant.md)
- [AI revenue analyst](https://reasonmachines.com/ai-employees/ai-revenue-analyst.md)
- [AI customer support agent](https://reasonmachines.com/ai-employees/ai-customer-support-agent.md)
- [AI social DM manager](https://reasonmachines.com/ai-employees/ai-social-dm-manager.md)
- [AI investor update assistant](https://reasonmachines.com/ai-employees/ai-investor-update-assistant.md)
- [AI employees for small business](https://reasonmachines.com/ai-employees/ai-employees-for-small-business.md)
- [Best AI employees in 2026](https://reasonmachines.com/ai-employees/best-ai-employees.md)
- [Reason vs Lindy](https://reasonmachines.com/ai-employees/reason-vs-lindy.md)
- [Reason vs Sintra](https://reasonmachines.com/ai-employees/reason-vs-sintra.md)
- [Reason vs Grok Bot](https://reasonmachines.com/ai-employees/reason-vs-grok-bot.md)