— 01
Online stores and delivery services
Chatbot
Development
for Business.
I'll build a chatbot for Telegram or Max: lead intake, auto-replies, funnels, payments, and CRM integration. The bot works 24/7 without a manager.
Telegram · Max
Funnels
Payments
CRM
Notifications
Experience
15+
Availability
24 / 7
01 — Who it's for
Who needs a chatbot in Telegram or Max?
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Appointment booking: salons, clinics, studios
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SaaS services and online schools
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Customer support with frequent repetitive questions
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Teams with internal notifications and approvals
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Businesses with messenger-based sales
02 — What's included
Full chatbot development cycle
scope · end-to-end
I design the flows, build the bot, and connect integrations
Not just 'a bot that responds to buttons', but a tool embedded in your business process. Lead intake, lead qualification, transfer to CRM, manager notifications — all in one chain.
Telegram Bot API
Max API
Node.js / Python
PostgreSQL
Webhooks
CRM integrations
01
Task analysis and scenario design
A bot without a scenario is just buttons in a void
The most common mistake when building a bot is starting with technical implementation without understanding the logic the user will follow. A bot without a clear dialogue tree confuses clients and kills conversion.
Hidden branches that surface in production
What happens if the user taps 'back' midway through the funnel? How do you handle unexpected input? What do you show a new versus a returning client? These questions seem minor, but they determine whether the bot feels like a useful tool or a source of frustration.
How I handle this
Before writing any code, I design the full dialogue tree: steps, branches, transition conditions, dead ends and exits. I document the logic in a diagram, confirm it with you — and only then move to implementation. This is cheaper than reworking an already-built bot.
02
Scenario and dialogue development
Messages nobody reads
Three-paragraph bot messages don't get read to the end. Messenger users expect short, clear text and minimal buttons. Poorly written dialogue reduces engagement regardless of the bot's technical quality.
Transition logic and state management
The bot must 'remember' what step the user is on, and correctly return to the right state after a pause, incorrect input, or tapping the 'back' button. Without state management, the bot behaves unpredictably and irritates users.
How I handle this
I write messages targeted at a specific user: concise, with a clear next step. I implement a state machine that reliably tracks where the user is in the funnel. I handle edge cases: timeout, restart, invalid input — all predictable.
03
Lead intake and qualification
The manager can't keep up with incoming leads
When leads come in at different hours, in different formats, across different channels — some get lost. The manager spends time clarifying basic information that could have been collected automatically.
Unqualified leads clog the funnel
Without initial filtering, managers waste time on off-target inquiries. The bot can ask qualifying questions and pass only those who meet the criteria to CRM — with the information already collected.
How I handle this
I set up a questionnaire inside the bot: name, contact, request details, budget, or other criteria — depending on the task. Leads are automatically passed to CRM or sent to the manager in a structured format. The manager receives a ready-to-act lead, not a raw message.
04
In-bot payments
The client is ready to pay but gets redirected to a website
Every channel switch means losing some users. If a client reached the payment step inside the bot but has to go to a website, some of them simply won't complete the purchase.
Complex payment gateway integration
Telegram Payments, YooKassa, Robokassa — each gateway has its own confirmation logic, error handling, and refund flow. Incorrect implementation leads to duplicate charges or unclosed orders.
How I handle this
I connect payment processing directly inside the bot via Telegram Payments or external gateways. I implement correct status handling: successful payment, error, pending. Payment notifications are automatically sent to both the client and the manager.
05
CRM and external service integration
A bot that works in isolation is half a solution
If data from the bot doesn't reach CRM automatically, the manager manually transfers information — which eats up the time the bot was supposed to save. A bot without integrations only solves part of the problem.
Different CRMs — different formats and APIs
amoCRM, Bitrix24, Google Sheets, Notion, custom systems — each has its own data structure and transfer method. Integration requires understanding the API on both sides and reliable error handling.
How I handle this
I configure data transfer from the bot to CRM: new contacts, leads, deal statuses. I implement two-way sync where needed — for example, so a manager can reply to a client directly from CRM. I handle transfer errors with retries.
06
Notifications and broadcasts
Clients forget about appointments or orders
Appointment reminders, order status updates, payment confirmations — all of this can be automated. Without it, the manager calls manually or the client simply doesn't show up.
Mass broadcasts require care
Telegram strictly limits message send rates. Violating these limits gets the bot blocked. Broadcasts must be implemented with queues and rate limiting — otherwise the bot risks being shut down at the worst possible moment.
How I handle this
I set up automatic notifications: booking confirmation, reminder one hour before, order status, payment notification. For broadcasts, I implement a queue that respects Telegram and Max rate limits. Users can manage their notification subscriptions.
07
Admin panel and analytics
A bot without management is a black box
If changing a message text or adding a new product requires a developer — that's slow and expensive. The operations team should be able to manage the bot on their own.
No data — no understanding of effectiveness
How many users reached the lead stage? Where do they drop off? Which buttons do they press most? Without analytics, you can only guess — not improve.
How I handle this
When needed, I build a web panel or admin bot: content, product, and schedule management. I collect basic analytics: conversion funnel, exit points, popular scenarios. This allows iterating the bot based on data, not gut feeling.
08
Testing and launch
Bugs in the bot are visible to the client
Unlike a website, a bot doesn't show an error page — it just goes silent or sends a confusing reply. To the user, it looks like the company is ignoring them. Every unhandled failure is a lost lead.
Edge cases that weren't tested
A user typed text where a button was expected. Tapped 'back' multiple times in a row. Opened the bot again after a long break. Without testing these scenarios, the bot only works under ideal conditions.
How I handle this
I verify all key scenarios and edge cases before launch. I test error handling, invalid input, and repeat interactions. I roll out the bot in stages — first in a test environment, then production. After launch, I monitor for errors in the first few days.
03 — How we work
Four stages — from idea to a live bot
Understand the task
We discuss what the bot should do, who will use it, and which business process it covers. We define the messenger, scenarios, and required integrations.
Design the dialogues
We map the dialogue tree: steps, branches, conditions. We align the message copy and transition logic — before writing any code.
Build the bot
We write the bot, configure integrations with CRM, payment systems, and other services. I show intermediate results throughout.
Test and launch
We test all scenarios, fix found bugs, and launch the bot in production. I monitor its performance in the first few days.
01 · Discovery
Understand the task
What happens at this stage
We discuss what the bot should do, who uses it, and which business process it covers. We define the messenger, scenarios, and required integrations.
What's needed from you
Describe the process the bot will automate: how it runs today, where time is lost, and which questions customers ask most often.
What you get
A clear picture of the bot's tasks, the chosen platform, and the list of integrations. The basis for designing dialogues without rework.
02 · Scenario
Design the dialogues
What happens at this stage
We map the dialogue tree: steps, branches, conditions. We align the message copy and transition logic — before any code is written.
Why before the code
Logic is cheaper to change on a diagram than in a finished bot. Here we catch dead-end branches and unclear wording while they're still edits to a document.
What you get
An agreed scenario for all dialogues, with copy. You see in advance how the bot will talk to customers in every situation.
03 · Build
Build the bot
How the work goes
I write the bot and configure integrations with CRM, payment systems, and other services. I show intermediate results in the messenger as we go.
What I connect
Passing leads to CRM, accepting payments, notifying managers, exporting data. The bot becomes part of your processes, not a standalone toy.
What you get
A working bot with all integrations, ready for final testing. Every scenario can already be checked live.
04 · Launch
Test and launch
What happens at this stage
We test all scenarios, fix the bugs found, and launch the bot in production.
Monitoring after launch
In the first days I watch how it runs: how real dialogues go and where users get stuck. I quickly fix copy and logic based on what actually happens.
What comes next
I stay available for growth: new scenarios, integrations, dialogue analytics. The bot is refined as your needs change.
04 — Result
What you get after chatbot development
Not just buttons in a messenger, but a
sales tool
You get a bot embedded in your business process: it accepts leads, qualifies them, takes payments, and sends data to CRM. Works 24/7, never loses inquiries, and frees managers from routine tasks.
A production-ready bot
Launched in Telegram or Max, verified against all scenarios, connected to your services.
Automated process
Lead intake, qualification, payments, and notifications work without manager involvement.
Data in CRM
Every inquiry is captured and enters the system — not a single lead is lost.
Why start with a conversation
In an hour we'll figure out what bot your business needs
Chatbots vary widely: from a simple FAQ to a complex funnel with payments and CRM. At the start, it's not always clear what level of complexity is justified for your task. A brief discussion helps choose the right scenario and get a realistic cost and timeline estimate.
I usually respond within an hour
first call is free
working together
online
<1 day
response time
1:1
direct, no middlemen
0 ₽
for the first call
Quick replies
within the day
Single developer
full context, always
05 — FAQ
Common questions about chatbot development
Which messengers do you build bots for?
I build bots for Telegram and Max messenger. These are the two most in-demand channels for business. If you need a bot for another messenger, we can discuss it individually.
How much does a chatbot cost?
Can payments be accepted directly in the bot?
How will the bot send leads to us?
06 — Other services
Related engagement formats
from the services catalog
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see all →