AI agent development for business
An AI agent for business is a program built on a language model that chooses its own steps and carries them out in your systems: it reads an email, finds the customer in your CRM, creates a deal and drafts a reply. We develop AI agents and AI assistants for a specific process — with limited access rights, a log of every action and human review wherever a mistake costs money.
AI agent vs AI assistant: what’s the difference
An AI assistant answers questions from your own materials — policies, price lists, a knowledge base — and hands complex cases to a person. An AI agent goes a step further and acts in your systems: it creates deals, fills in documents and compiles reports. That is why an agent needs carefully planned access rights, checks and error handling, and why it costs more.
You don’t always need an agent. If a process follows strict “if — then” rules, ordinary automation is cheaper and more reliable. An agent pays off where the input is unstructured text — emails, scans, message threads — and each case differs slightly from the last. Anthropic advises starting with the simplest solution and adding complexity only when it is needed — we work the same way.
If the task is answering customers in a messenger, a chatbot is often enough. Before any development, we measure the current process to see whether an agent will pay off at all.
When you need it
- Enquiries arrive by email, through the website and in messengers in free form, and managers copy them into the CRM by hand.
- Support is buried in “where is my order” and “how do I return it” questions, while complex requests wait hours for a reply.
- Staff check contracts, invoices and acceptance certificates against templates and counterparty records.
- Every Monday someone pulls figures from the CRM, ad accounts and accounting into a summary for management.
- Managers spend time preparing for meetings and drafting commercial proposals.
- Staff dig through internal policies for answers and keep asking colleagues the same questions.
What’s included
- A process review and a “before” measurement: how much time it takes, what data comes in, which systems are involved
- A plan of what the agent does on its own, what it prepares as a draft and what always stays with a person
- An agent or assistant on a suitable model, with a knowledge base and instructions for your process
- Integrations with your CRM, email, spreadsheets and accounting system — with minimal rights, read-only where possible
- Safeguards: code checks figures and facts, while payments, data deletion and emails to customers go out only after a person confirms them
- A log of every agent action and pilot metrics: the share of results accepted without edits, time saved, recurring errors
- A plan for personal data: anonymisation, or models that keep data in the country if it can’t be transferred abroad
Pricing
- Quick launch$750–2,000
One straightforward process — for example, sorting enquiries or documents — with a limited number of integrations and human review.
- Business growth$3,000–8,000
A process involving several systems: CRM, email, accounting. Access rights, checks, error handling and an action log.
- Custom projectfrom $10,000
Several processes and systems, with monitoring of how the agents perform. Typically up to $30,000; the most complex projects cost more.
An AI assistant that answers from a knowledge base and doesn’t act in your systems costs $1,000–2,000, $2,500–6,000 and from $8,000 at the same levels. Complex projects start with a design phase — user flows, architecture, a prototype and an estimate — for $500–1,500. Model API usage, servers and subscriptions are paid separately; we give an exact quote after a brief.
How we work
01. Process review
We pick one process with a clear metric, measure how much time it takes and how many errors it produces now, and work out whether an agent will pay off.
02. Design
We choose the model, the systems, the access rights and the points where a person makes the decision. For complex tasks — a prototype and a detailed estimate.
03. Pilot in draft mode
The agent prepares the result, and a member of staff checks and edits it. We track the share accepted without edits and which errors recur.
04. Scaling and support
The agent handles simple cases on its own and passes complex ones to a person. We maintain the knowledge base and keep up with service APIs and model updates.
What we’ve done
All work-
An AI agent that talks to buyers, books CDEK delivery and quotes its cost on its own
Connected every channel (the website, Telegram and Instagram): enquiries land in one system, and the AI agent replies wherever the buyer wrote.
View case: A13 -
A system where AI agents turn a list of websites into ready leads: contacts, a company profile and analysis against the client’s services
The client uploads a list of websites they’re interested in and describes their services; from there, AI agents take over.
View case: Neosend -
A tour-matching system: prices from a hundred suppliers in one place and an AI-written proposal in five minutes
A hundred price sources in one system and an AI-written proposal: 5 minutes instead of 5–6 hours per tour.
View case: Coconut Travel
Frequently asked questions
What is an AI agent for business, in simple terms?
It is a program built on a neural network that decides which steps a task needs and carries them out through connected systems — email, CRM, spreadsheets. Unlike an ordinary script, it can handle free-form emails and documents.
How much does an AI agent cost?
Setting one up for a single straightforward process costs $750–2,000, a process with several systems $3,000–8,000, and a project covering several processes from $10,000. Model API and server costs are separate: they are paid monthly and depend on volume.
What is the difference between an AI agent and an AI assistant?
An assistant answers questions from a knowledge base. An agent also takes actions: it creates deals, fills in documents and moves data between systems. The two are often combined: the assistant talks to the customer, and the agent does the work behind it.
Which business tasks can an AI agent handle?
Sorting incoming enquiries and emails, first-line support, document checks, weekly reports, drafts of commercial proposals. It is a poor fit for rare processes, precise calculations without checks in code and legally significant decisions without a person.
Can an AI agent connect to our CRM or accounting system?
Yes. The agent works with the systems it has been given access to through their integration interfaces. We work out what is available in your setup and which rights to give the agent during the brief — ideally together with the specialist who runs that system for you.
Can I build an AI agent myself?
For simple tasks, no-code automation services with a language model plugged in are enough. Once an agent gets access to your CRM, money or personal data, you need restricted rights, an action log and human review — and that is hard without a developer.
Can an AI agent process customers’ personal data?
Yes, but sending data to a model hosted abroad may count as a cross-border transfer under data protection laws such as GDPR or Russia’s 152-FZ, with extra requirements. The options are to anonymise data before sending it or to use a model that keeps data in the country; agree the setup with a lawyer.
What shall we build together?
Tell us what you want to launch or improve. We’ll discuss the task and suggest the next step.