Lots of manual work
Checks, reminders, correspondence, documents, reports. Each small thing is quick on its own, but together they take up the whole working day.
AI employees
AI employees for business that actually work
Not chatbots, but colleagues with a role and a memory, who work inside your systems and keep learning. You give a task in chat, the AI employee does it, reports back and asks for your approval where it matters.
The problem
Routine eats the team
People spend hours on things that repeat day after day. Managers drown in emails, documents and reminders, and there is no time left to grow the business.
You need not a bot, but an employee who sees a task through to the result.
What it is
What is an AI employee
An AI employee (also called a virtual employee or AI coworker) is a software colleague built on a large language model, which we set up for a specific role in your company: sales manager, accountant, lawyer, QA engineer, project manager, purchasing or order-processing specialist. Those are only examples: we create the role around your processes, so an AI employee can take over any repetitive work with documents, data and communication. It understands tasks written in plain words and carries them out in your working systems.
Unlike a general-purpose chatbot, an AI employee has a clear area of responsibility: it remembers agreements and follows your rules. Everything it does is written to a log, and important decisions wait for your approval.
What it looks like
Talk in chat, like with a colleague
You write in plain words. The employee asks follow-up questions, does the work and replies. There is no new interface to learn.
- No new interfaces: you work where you already talk to your team
- You can tag an AI employee right in a task
- Employees help each other, so a task doesn’t get stuck between roles
- Everything it did is visible in the task history
Chat · online store
Leo, check yesterday’s requests and prepare wholesale offers.
Leo
Found 7 requests, 3 of them wholesale. Prepared 3 offers. One lead has been silent for 5 days: should I remind them?
Yes, remind them. Show me the offers.
Leo
Done. The offers are waiting for your approval.
Comparison
AI employee, chatbot or a new hire
What to choose for the routine tasks that eat your team’s time every day.
| Chatbot | New hire | AI employee | |
|---|---|---|---|
| What it does in your systems | Mostly answers questions | Does the tasks | Does the tasks through the API, following your rules |
| Memory of clients and agreements | Limited by the script | Depends on the person | Stores and uses knowledge about clients, projects and rules |
| Time to launch | Quick, but narrow in function | Search, training, onboarding | ~1 month for the first, 2-3 weeks for each next one |
| Risk of losing knowledge | None | A person can leave with the knowledge | Knowledge stays in a system you control |
| Control | Chat logs | Depends on your processes | Action log and approval of important steps |
Nobody is replaced in complex decisions: the AI employee takes over checks, preparation and reminders and leaves the decisions to you.
Who it is for
For teams where routine eats the growth
Small and medium business
5-100 people, a CRM or spreadsheets, and managers drowning in emails, documents and reminders. Online stores, distribution, service companies.
Agencies and service teams
Many projects and clients at once: tasks, quality checks, reports, deadlines. This is exactly how we work ourselves.
Integrators and contractors
Add AI employees to your own service for clients and earn on implementation and the partner program.
Our team
AI employees that already work for us
This is not theory: these employees do real work at NextDoorCoders every day. The personas are matched to the character of each role. They are AI employees, not real people.
Steve
Checks work against the requirements and sends it back for rework.
Maya
Manages tasks, assigns work and watches the deadlines.
Leo
Works with leads and prepares commercial offers.
Mark
Prepares contracts, invoices and acts.
Diana
Reads contracts and finds disputable terms.
Emma
Handles correspondence with partners and reminds about agreements.
What it gives us every day
We launched AI employees in our own team. Here is what changed.
~25 partners
handled at once, saving ~6 hours a week
Emma · partnerships
7 min instead of 1 hour
for a contract, invoice and act
Mark · accounting
2 min instead of 20
for a commercial offer, and no lead gets lost
Leo · sales
~5 min instead of 1 hour
per task: checked against the requirements before a person sees it
Steve · QA
Approximate values from NextDoorCoders’ internal use.
Control and memory
You know what is done and what needs attention
The AI employee checks the result against your rules, reports problems and hands important decisions to you. The longer it works, the less you need to explain.
Integrations
Works where you already work
It lives in a separate service and connects to your systems through the API. We don’t rewrite or touch your systems.
- Telegram
- KeyCRM
- Zoho
- Custom-built software
- Task comments
- Any web application with an API or code access
The AI employee service stores roles, memory, rules and the action log. You talk to it in chat and in task comments.
When it fits
When an AI employee pays off the most
Not every task should go to AI. These are the three signs we use to choose the role for a first employee.
Not sure your process fits? In 30 minutes we will go through it together and tell you honestly whether it is worth giving to an AI employee.
Example tasks
Tasks an AI employee takes on
Three scenarios we set up most often. Each one prepares the result and hands you only what needs a decision.
Purchasing: what to order, how much and when
Watches stock and sales and prepares purchases with delivery times in mind.
- Calculates how many days the stock will last
- Spots items that will run out before the next delivery
- Prepares supplier orders: items, quantities, amounts
- Separately flags questions that need your decision
You approve a ready purchase instead of assembling it by hand from spreadsheets.
Order processing without manual checks
Checks new orders and prepares them for handover to the warehouse.
- Matches availability and quantities
- Checks payment, prices, discounts and delivery details
- Finds duplicates and orders with missing data
- Reserves items by your rules and passes them to the warehouse
The manager gets specific questions instead of a list of orders to check by hand.
Commercial offers before the lead goes cold
A sales AI employee collects client data and prepares a commercial offer for the request.
- Reads the request and the history with the client
- Picks items, prices and terms by your rules
- Builds the offer and passes it for approval
- Watches for a reply: if the client is silent, it reminds them
The manager approves a finished offer instead of building one from scratch.
How it is implemented
From your business processes to an AI employee
-
1
We go through your work
We discuss the processes and decide which tasks go to the AI employee.
-
2
We define the duties
We fix what it has to do, what result we expect and when your approval is needed.
-
3
We choose the tools
We pick the systems, data and services the employee will work with.
-
4
We build the core
We create the base for memory, task execution, work with tools and control of actions.
-
5
We create the AI employee
We set up the role, instructions, business knowledge and access to the required tools.
-
6
We test and launch
We check it on real tasks, refine it and launch it into daily work.
- ~1 month: the first employee
- 2-3 weeks: each next one
Pricing
How much an AI employee costs: clear and predictable
The first AI employee
$1 500-3 000
One-time development fee. The price depends on how complex the role is and how many tools the employee works with.
Each next one
20-30% cheaper
The infrastructure is already there, you pay for the new role.
Regular costs
- A Claude subscription from $20/month: agents need a subscription, which you set up yourself
- Hosting: we build and host the agents on your server, if you have one
- Alternative: hosting on our servers for $15/month
Questions about AI employees
A software colleague with a role, a memory and access to your systems. A chatbot mostly answers questions, while an AI employee does tasks: prepares an offer, checks an order, reminds a client, handles documents. It reports on the result and hands important decisions to you.
No. What the employee does alone and what only with your confirmation is set by the regulations. Payments, sending to clients and status changes usually need approval. Every action is written to the log.
The first AI employee costs $1,500-3,000 as a one-time development fee, depending on the complexity of the role and the number of tools. Each next one is 20-30% cheaper. You also need a Claude subscription from $20/month (set up by you) and hosting: on your server or on ours for $15/month.
The first AI employee takes about a month, each next one 2-3 weeks, because the infrastructure is ready. The timing depends on the complexity of the role and the number of integrations.
Any web application that has an API or code access: Telegram, KeyCRM, Zoho, custom CRMs and accounting systems. We don’t rewrite your systems, we only connect to them.
On your server or on our separate one. The employee gets only the access you give through separate keys, and you can revoke a key at any time. Only the context needed for the task is sent to the language model.
Sales, accounting, contracts and legal review, QA, project management, work with partners, purchasing, order processing. We go through your processes and pick the roles where AI helps the most.
Yes. The main audience is companies of 5-100 people with a CRM or spreadsheets, where managers drown in emails, documents and reminders. You can start with one employee for the most painful process.
Want the same?
Write to us: in 30 minutes we will go through your business processes and prepare a proposal for one or several AI employees for your tasks.
Discuss your processes