AI Employees Explained: How AI Agents Differ from Chat AI

What is an AI employee?

At Employee Store, we call AI agents built by developers “AI employees.” Much like hiring staff, a company can bring in an AI employee for each job, with a one-time purchase or a monthly plan.

The term “AI agent” also has a public definition. On March 31, 2026, Japan's Ministry of Internal Affairs and Communications (MIC) and Ministry of Economy, Trade and Industry (METI) published the “AI Guidelines for Business (Version 1.2).”

Definition in the AI Guidelines for Business (Version 1.2): In these guidelines, an AI agent is an AI system that senses its environment and acts autonomously to achieve a specific goal.

The same guidelines add a note on autonomy. The term covers not only highly autonomous systems but also those with some degree of autonomy. In other words, a system where a person checks the work midway still counts as an AI agent.

How it differs from chat AI

A chat AI returns an answer when a person enters a question. A person decides what to do next each time. Copying the answer into another tool is also a person's job.

An AI agent receives a goal and works through the steps. It uses tools such as email and spreadsheets and leaves the result inside the workflow. People check or approve at set points.

Comparing the same task

Take the job of entering inquiries from a contact form into a customer list. With a chat AI, a staff member pastes the inquiry, the AI organizes it, and the staff member copies the result into the list.

With an AI employee, the form submission triggers the AI. It splits the content into fields, adds it to the list, and drafts a reply. The staff member only checks the draft and sends it.

Fixed steps vs. steps the AI chooses

AI agents are also built in different ways. Anthropic describes agentic systems in two groups.

• Workflows: AI and tools connected in a predefined flow
• Agents: the AI decides the steps and how to use tools as it goes

Workflows built with n8n or Dify are closer to the first type. For work with fixed steps, a workflow makes behavior easier to predict. Employee Store lists AI built either way, in any format.

In the same article, Anthropic recommends starting with the simplest setup and adding complexity only when needed. Higher autonomy costs more and can let errors compound. Adopters, too, can check results more easily if they start by delegating work with fixed steps.

How an AI employee works

Most AI employees are made of the following four parts. Viewing a listing page or setup guide through these four parts makes it easier to understand.

• Trigger: what starts it, such as a request, a set time, or an incoming email or form
• AI model: the part that reads text, makes judgments and writes text, using models from OpenAI, Anthropic and others
• Tool connections: outside services it reads from and writes to, such as email, spreadsheets, CRM and social media
• Human review: where people look, approve or correct

Tool connections usually require accounts on the adopting company's side. Some setups also charge AI model usage fees separately from the monthly fee. Check both before adoption.

Tasks that are easy to delegate

The easiest tasks to delegate have fixed steps, inputs and outputs that can be handled as data, and results that people can check. The more often a task repeats, daily or weekly, the more time you save by delegating it. Here are examples by Employee Store category.

The table below lists example tasks, not specific listings. Check each AI employee's description for what it actually does.

Tasks that are hard to delegate

Judgments that evaluate people, or decide whether to sign a contract, carry heavy responsibility and are hard to delegate. The AI Guidelines for Business say that when AI output is used as a reference for evaluating specific individuals or groups, those people should be notified and given explanations on request. For this kind of work, the AI only organizes the material and people make the decision.

What to decide before adoption

Deciding the following points in-house before bringing in an AI employee prevents confusion later.

1. Scope: which job, and which part of it, you hand to the AI
2. Data: what information the AI may receive and what it may not
3. Permissions: what the AI's accounts can view and change
4. Human checkpoints: where people approve, such as sending, publishing and payments
5. Owner: who is responsible for results and who decides to stop it
6. Costs: whether there are AI model fees or other costs on top of the monthly fee

Take extra care when personal data is involved. In a June 2, 2023 advisory, Japan's Personal Information Protection Commission (PPC) set out points for businesses entering prompts that contain personal data into generative AI services. These include confirming the use stays within the stated purpose and confirming the provider does not use the data for machine learning.

The AI Guidelines for Business also list points for businesses that use AI. These include following the usage notes set by the provider, confirming the system works as specified, and not entering confidential information inappropriately. Checking your in-house decisions against these points reduces gaps.

What to check when choosing an AI employee

Once you find a candidate AI employee, check the following before deciding. Ask the seller about anything not written down before you decide.

• What it does: what it receives, what it does, and what it returns
• What it does not do: out-of-scope tasks and points where people check
• Required accounts and APIs: what you provide and who pays for their usage
• Data handling: what data it reads, where it stores it, and which AI model provider it sends it to
• Support scope: who handles problems and how far

For detailed steps, see How to Adopt AI Agents.

Find AI employees on Employee Store

Employee Store is a marketplace where companies can adopt AI agents built by developers, with a one-time purchase or a monthly plan. Payments are processed by Stripe, and pricing is one-time, monthly, or a setup fee plus monthly. You can cancel a monthly plan from contract management in the deal room.

You can browse these categories: sales support, recruiting and scouting, social media, customer support, back office, marketing, and development and data.

AI employees are submitted through the listing form and published after review by Employee Store Operations. After purchase, the seller delivers what is needed for setup through the on-site delivery box. The buyer checks the delivery, confirms receipt, and can then write a review.

Each seller builds AI employees differently. Formats vary: n8n or Dify workflows, in-house agents, GPTs and more. The build method changes which accounts you provide and where the AI runs. The steps from purchase to first use are in the setup guide.

How to read the costs

The cost of an AI employee can be split into several parts. Typical prices vary by job and build, so we list only the items to look at.

• The AI employee's monthly fee
• AI model fees: billed by the model provider when the AI runs on your own API key
• Fees for connected tools: plans for services you use, such as a CRM or social media management tool
• Staff time: time spent on checks, approvals and exceptions

Looking only at the monthly fee means missing other costs. Listing which costs exist and who pays them before adoption makes comparison easier.