Chatbots and AI automation for business
A chatbot for business is a working scenario for sales, customer support, a loyalty program or team tasks. We develop Telegram bots, website chatbots and bots built on your company knowledge base, and connect them to your CRM, accounting systems, payments, telephony and business logic.
- Your code, server and data — the solution is not tied to a bot builder.
- Integrations with your systems — CRM, ERP, payments and analytics via API.
- Support after launch — we take the project from prototype through ongoing development.
Services in this area
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Services in this area
3 services in this section — each has its own page with the scope of work and cost.
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Bots built around your business model
A business bot is a working tool, not a template scenario: it reflects your roles and data, the CRM and payments you use and the service rules your company follows.
Online stores
Product search in the catalog, cart and payment, delivery status, repeat sales.
Loyalty cards
A digital card, bonuses, customer segments, personal offers and purchase history.
Retail and chains
Promotions and promo codes, receipt data, points of sale, stock levels, conversations with customers.
Customer support teams
Requests, answers to common questions, a knowledge base, response times, statuses and handover of complex cases to an operator.
Call centers
Request qualification, routing to employees, telephony, CRM and manager reporting.
Clinics
Appointment booking, visit reminders, service selection, a patient personal account and a medical CRM.
Insurance companies and banks
Preliminary calculations, consultations, document packages, request status — all within strictly defined scenarios.
Residential complexes and property managers
Resident requests, meter readings, payments, technician calls and building notifications.
Agribusiness and dealers
An equipment catalog, product selection, requests, field sales activity and ERP integration.
Service companies
Bookings, dispatching, work progress, quality ratings and repeat service.
Partners and dealer networks
A bot for a dealer network: each partner sees prices, orders, documents and approvals in their own account.
Staff and internal processes
Onboarding, training with tests, internal requests and a company directory, with role-based access.
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A chatbot is an interface to your logic
A chatbot is only the interface; your business logic is at the center of the solution. That is why we start with the process that costs you money and time, not with Telegram or artificial intelligence. We design the scenario, the integrations and the first version of the bot around that process.
Support and requests
The bot accepts a request, adds data to it, routes it to the right department, tracks response times and collects reporting.
Loyalty and repeat sales
A digital card, bonuses, a referral program, customer segments and personal offers, connected to your accounting system.
CRM and internal processes
Requests, approvals, checklists, roles, reminders and reports for the team in a messenger they already use.
Training and knowledge base
Employee onboarding, training modules, tests, answers to common questions, surveys and progress tracking by role and department.
Catalog and service for partners
Search by SKU, documents, requests, the right language for each country and mailings from a single admin panel.
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Five processes a bot can run
We describe each scenario as a data path, not a set of buttons: where the request comes from, what the bot checks, which system it writes the result to, when a person steps in and what the head of the team sees.
Lead qualification before the manager
A person comes from an ad or from the website, picks their task and answers a few short clarifying questions. The bot checks the required fields, creates a contact and a deal in the CRM and records the source and the answers. A hot lead goes straight to the right manager; the bot sends the others materials or suggests a next step, with no manual sorting.
A message becomes a request with context
The customer writes in a familiar chat. The system identifies the topic, pulls up the customer or order data, creates a request and assigns a department. Instead of a single message, the operator gets a card with a status, past conversations and a deadline. If there is no confident answer, the bot does not make one up but passes the question to a person.
Product selection and order status
The customer names the parameters or searches for a specific SKU. The bot takes the catalog and stock levels from the accounting system, helps build the cart, sends the customer to the payment provider and creates the order. The customer tracks delivery in the same chat, and a manager steps in only when the case is non-standard.
Booking with reminders and rescheduling
The customer chooses a service, a specialist and a time from the available slots. The bot checks the schedule, creates a booking in the system and sends a confirmation and a reminder. When a booking is rescheduled or canceled, the original booking is updated, so duplicates do not pile up in the chat. The administrator sees the changes and steps in when manual approval is needed.
Employee requests by role and rules
An employee picks the request type or searches the internal knowledge base. The bot takes the employee's position and department into account, answers with a link to the document, collects the missing data and starts the approval process. Requests reach the people responsible in a single format, and the head of the team sees statuses and reasons for delays in the summary rather than in private chats.
We do not automate blindly: if a process has no owner, no rules for exceptions or no access to the data source, we first simplify the process itself and split the steps between those the bot performs and those a person is responsible for.
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Support from work chats
Work chats in Telegram can be turned into a managed support system. Every question becomes a request with a topic, a person in charge and a deadline. The manager sees the property number, the history, calls and ready-made replies, and the head of the team sees service speed and quality.
Input — work chats and telephony
Logic — topic, department and response times
Control — search, statuses and reporting
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A loyalty card in the messenger
The loyalty card opens right in the customer's messenger and gives the business a channel for repeat sales. Instead of plastic cards and costly SMS, you get a QR code at checkout, a card in Telegram, a bonus balance, promotions and mailings by customer segment.
- integration with your loyalty system, your accounting system or via API
- statistics on sign-ups and repeat visits
- the data belongs to your business
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HR bot and knowledge base
An HR bot gives one precise answer, so employees do not have to dig through chats and folders or ask colleagues. It takes answers only from the company knowledge base and attaches a link to the document, creates internal requests and passes non-standard questions to a real employee. For example, when asked about a business trip, the bot gives the deadline for submitting a request, refers to the relevant clause of the policy and offers either to fill out the request right away or to pass the question to HR.
Access — by role and department
Control — answer sources, an activity log and a fallback scenario when there is no answer
Hosting — in the cloud or on the company server
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Bot and web interface
A short conversation with the bot is enough for the user, but the team needs full control over the process. When it is time to manage content, roles, requests, reports and analytics in one place, we add a web panel or a Telegram Mini App to the bot.
Chatbot — quick actions for a customer, employee or partner
Web panel — process and data management, progress tracking and analytics for the team
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Chatbot integrations
The bot's job is to connect the customer to your systems, not to duplicate them. Before development, we study the API, access rights and the data exchange flow. That way, requests do not get lost in the chat, stock is not kept in a separate spreadsheet and the manager gets ready context instead of copying data by hand.
CRM and requests
The bot creates a contact and a deal, qualifies the request, assigns a manager, updates the status and saves the chat history.
- KeyCRM, Pipedrive, NetHunt;
- your own CRM via API;
- handover of the conversation to a person without losing context.
Accounting and ERP
The catalog and current stock, order status, documents, user permissions: the bot exchanges this data with your internal system.
- accounting systems;
- ERP and warehouse systems;
- Google Sheets for the first version.
Payments and online store
Cart, payment link, payment confirmation, delivery and notifications when the order status changes.
- payment providers;
- the online store CMS;
- delivery services via API.
Telephony and analytics
Calls and messages come together in one process. Events go to analytics, and the team sees what the person contacted you about and how the conversation ended.
- IP telephony, email and SMS;
- events for web analytics;
- dashboards and service notifications.
If there is no existing API, we first choose a safe way to exchange data and define the boundaries of the first version. We confirm an integration only after checking the documentation and test access.
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What custom chatbot development includes
A bot's reliability depends on decisions made long before anyone designs the buttons in the messenger. First, we agree on the roles, data sources, rules for handing a conversation over to a manager, exception handling and how the bot will be monitored after launch. This keeps the first version manageable and lets you add new features without rebuilding the whole process.
One process for all roles
At the start, we find out who will message the bot, what each role is allowed to do and at which step a real employee is needed. A customer leaves a request in Telegram or on the website, a manager gets the conversation with the contact and the reason for the request, and an administrator changes the content and monitors the integrations. We separately plan for repeat entry, wrong answers, missing data and a return to an unfinished scenario. If one channel covers the task, we do not add extra complexity. If there are several channels (Telegram, a website chatbot, another messenger), we keep the business logic separate from the interface of each channel.
One data source instead of copies
Before the estimate, we study the API: the set of fields, access rights, request limits and whether a sandbox environment is available. We determine which system is responsible for the price, stock, customer or order status and what the bot does: only reads the data or also writes it. For a CRM, we agree on duplicate detection, contact and deal creation, manager assignment and an error log. For an ERP or a warehouse system, we agree on data freshness rules and on how the bot behaves when the system is unavailable. Access keys are not stored in the interface, rights are separated by role, and critical operations go through a second check and come with a clear message to the user.
Answers from sources and handover to an operator
An AI chatbot must not make up prices, rules and terms that are not in the company documents. We prepare the source structure, the rules for updating it, access roles and a list of topics the bot does not answer. The conversation keeps a link to the source or another way to verify the answer. When the bot is not confident in an answer, it passes the request to an operator together with the history. We separately test ambiguous questions, contradictory documents, personal data and attempts to change the bot rules through messages. We do not add artificial intelligence to a simple scenario just because it is trendy: regular button-based logic is often more accurate and less expensive to support.
Pilot and further development
Before a full launch, we agree on test scenarios, the people responsible and the criteria for when the first version is ready for a pilot. We check the main path, cancellations and repeat actions, integration failures, behavior outside business hours, handover of the conversation to a manager and service notifications. After launch, we look at completed scenarios, drop-off points, data errors and questions missing from the knowledge base rather than the number of messages, and we plan the next version based on these signals. Who owns the code, servers and access credentials, how the change log is kept and how support works are put in writing before work begins, so there is no vendor lock-in.
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Typical solutions
Support automation
Requests, telephony, response times and reporting for messages from work chats in Telegram.
Retail chain operations
Shifts, checklists, revenue, policy violations and reporting for the chain management.
Loyalty and store
A store with bonuses and a referral program in Telegram and Viber, connected to accounting, payments and delivery.
Employee training
Training modules, tests, answers to common questions and progress tracking for employees of a clinic chain.
Mobile CRM
The entire equipment sales process, approvals, offline work and ERP integration.
Partner service
A catalog with search by SKU, documents and support in a single chat for partners from several countries.
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How chatbot development works
We write code after the metric, the integrations and the boundaries of the first version are agreed on. This keeps the scope from creeping during the project, and the team knows what is checked at each stage.
Business task
We define the audience, the current process, where time or requests are lost and the result the team will track.
Scenarios and prototype
We write out the main conversations, errors and the point where the conversation is handed over to a manager. We show the bot logic before the main development begins.
Channels and integrations
We study the API, the data structure and access. We agree on what the bot reads from the CRM, ERP, payments and analytics and what it writes there.
Development and testing
We build the first version and check roles, exceptions, security, message texts and real scenarios together with your team.
Launch and development
We train the employees responsible and set up monitoring. After launch, we review conversations and errors and plan the next versions.
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How much a chatbot costs
The cost of a chatbot depends on the scope of work, above all on what the system is responsible for rather than the number of buttons. First, we choose the minimum configuration for the task. After a short pre-project analysis, we give an estimate by stage: what goes into the first version, what can wait, what access is needed and where the technical risks are.
Scenario bot for predictable logic
A menu, answers to common questions, a request form, reminders, simple statuses and passing the contact to a manager. The cost depends on the number of scenarios, languages and channels.
- no complex admin panel;
- a minimum of external systems;
- content is rarely updated.
Bot connected to a CRM or ERP
Requests, deals, roles, payments, a catalog, documents and reporting. The estimate depends on the quality of the API, access rules, two-way data exchange and the number of exceptions.
- prototype and server-side logic;
- integrations and an event log;
- testing on your data.
AI bot or Mini App
An AI knowledge base, source control, a personal account, a catalog, bookings or a web panel. Design, access rules, fallback scenarios and answer quality control are added.
- data and role preparation;
- interface and admin panel;
- monitoring after launch.
What affects the estimate most:
- Scenarios — the number of roles, branches and exceptions.
- Integrations — availability of an API, documentation and test access.
- Data — permissions, security, data migration and an activity log.
- Interface — a regular bot, a Mini App or a separate admin panel.
- Artificial intelligence — sources, accuracy, moderation and handover to a person.
We do not quote arbitrary prices: before the estimate, we show what we suggest including in the first version and why. We give a preliminary estimate after the brief.
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When development is not needed
Not every task needs a bot built from scratch. Answers to common questions, a one-off form or a hypothesis test can be launched on a bot builder faster and for less. Custom development makes sense when the bot becomes part of how the company works: it handles data, money and an area of the team's responsibility and evolves together with the process.
Answers to common questions and contact collection — a bot builder is enough
CRM, payments, accounting system — a bot builder is limited, so custom development makes sense
AI knowledge base and roles — a bot builder is limited, so custom development makes sense
Your own logic and analytics — a bot builder is limited, so custom development makes sense
A bot is unnecessary when customers go through the process rarely: handling it manually will cost less than supporting one more channel. A bot builder works for testing demand, collecting contacts or showing a fixed menu without sensitive data. Development is needed when there are several roles, non-standard rules, a CRM or ERP, payment acceptance, your own data, an activity log or special hosting requirements.
Discuss a task15
Chatbot FAQ
01How much does chatbot development for business cost?
The cost depends on the scenarios, the number of channels, integrations, payments, the knowledge base and the admin panel. After a short pre-project analysis, we propose the scope of the first version, list optional features separately and estimate the work by stage.
02How long does chatbot development take?
The timeline depends on the number of scenarios and how ready the integrations are. A scenario-based bot with a request form takes less time. A Mini App or a bot connected to a CRM needs a prototype, an API check, development, testing on your data and a launch in stages.
03What is the difference between a scenario-based bot and a knowledge base bot?
A scenario-based bot guides the user through branches written in advance. A knowledge base bot builds its answer from company documents, shows the source, takes user permissions into account and passes the question to a person when there is not enough data.
04Can the bot work with our CRM or ERP?
Yes, if the system has an API or another controlled way to exchange data. We connect KeyCRM, Pipedrive, NetHunt, accounting systems, Google Sheets and custom-built systems. Before the estimate, we study the documentation and test access.
05Can a manager join the conversation?
Yes. The bot collects the details, identifies the topic and hands the conversation over to a manager with the chat history, the contact and the expected action. Handover rules depend on the role, working hours, urgency or the topic of the request.
06Where is user data stored?
We agree on the architecture before development. The bot runs on your server or in a cloud you have approved. We set up access rights, backups, an activity log and data retention periods to match the project requirements.
07Do the code and the bot logic stay ours after launch?
Yes. We put in writing how the code, servers, access credentials and documentation are handed over before work begins. After launch, we continue ongoing support or hand the solution over to your technical specialists.
08What should we prepare for an estimate?
Describe the task, the users, typical scenarios, the channel you need and the systems to integrate. A ready-made technical specification is not required: together we will define the first version and a list of questions to check.
09When is a Telegram Mini App better than a regular bot?
A Mini App fits when you need a catalog, a cart, a personal account, bookings, a complex form or a visual way to work with data. For answers to common questions, reminders or a short request, a Telegram bot is usually enough.
10Who supports the bot after launch?
We do: we monitor the servers and integrations, fix bugs and develop the scenarios further.
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Order a chatbot
To order a chatbot, describe the process you want to automate. Our chatbot development services start with a short conversation, without a technical specification or long questionnaires: where the company loses the most time, which systems the process runs in, who will work with the bot and what is already ready to connect. We will then suggest what the first version should be, which integrations you will need and what a sensible next step would be. To order chatbot development, leave a request in the form below.
17Contact
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Describe your project or a problem with your website. We will contact you during business hours, clarify the details and prepare a proposal with stages, timeline and cost.
- 01We contact you
- 02We discuss the task
- 03We prepare a proposal