How the solution works
The conversation identifies the request, validates required details and sends a lead, status or context to CRM, a calendar, telephony or another system.
All solutions /02Conversations without lost requests
Chatbots and voice automation
A chatbot is useful when a company repeatedly handles the same enquiries, loses requests between channels or copies conversation outcomes by hand. It guides the user through an agreed scenario, collects structured data and brings in an employee at the right point.
Tell us about the taskDesigned around the business outcomeSecurity and NDA requirements documented when needed
building the system
BIT ITBots and voice
Telegram
Conversation logic
Control
Direct answer
When a business needs a chatbot
We build chatbots and voice systems that collect structured data, guide a person through the right scenario and hand the result to your business system.
What we need to begin
We need enquiry examples, hand-off rules, business hours, approved answers and the available integration methods.
Important limitations
A bot does not have to replace a person. Ambiguous or sensitive requests are handed over, while voice scenarios are validated on real calls.
When this helps
Where this solution makes a real difference.
We first check where automation will make the work easier and where changing the process is enough.
01
Managers answer the same questions repeatedly.
02
Requests arrive through several channels and some are lost.
03
Customers wait for a response outside business hours.
04
Call and chat outcomes are copied into systems manually.
Recognise the workflow? We will suggest a useful first step.
Discuss the process Inside the solution
Only the modules the workflow actually needs.
Interfaces, data, roles and integrations are designed together as one operating system.
01
Telegram sales and support bots
02
Lead qualification and manager hand-off
03
Booking, surveys and assessments
04
Payments, statuses and notifications
05
HR and internal service bots
06
Inbound and outbound voice automation
Delivery
From one measurable scenario to a working system.
Select a stage to see what happens inside the project and what the team receives.
Active stage01 / 05
Delivery map
Focus
Map the customer journey and manager hand-offs.
Example project map
Every input, route and result is visible.
The detailed roles, exceptions, security rules and control points are confirmed during discovery.
DATA SOURCES
PROCESSING
RESULT
Modules
What may form the system
01Conversation logic02User profile03Requests04Payments05Notifications06Admin workspace
Integrations
What the solution connects to
01Telegram02CRM03Telephony04Payments05Calendar06API
After launch
Changes the team can see in daily operations.
Exact measures are selected for the process before development begins.
01
One controlled communication flow
Metric agreed before launch
02
Fewer lost requests
Metric agreed before launch
03
Faster first response
Metric agreed before launch
04
Structured data instead of fragmented conversations
Metric agreed before launch
Published work
All case studies Case studies from related operating workflows.
Customer service
VED Contact
A bot for initial questions about customs clearance and international trade.
View case study
Before we start
Practical questions.
01Does the bot replace a manager?+
Not necessarily. It usually handles repeatable stages and hands complex cases to a person with context already collected.
02Can you improve an existing bot?+
Yes, after a short technical review of its code, hosting and integrations.
03How is hosting selected?+
We choose hosting and third-party services around reliability, access and data requirements.
04Should we use a rule-based, AI or hybrid bot?+
A rule-based bot fits fixed steps and verifiable conditions. An AI bot can handle varied wording and knowledge search. In a hybrid solution, critical actions follow rules while AI interprets free-form language.
05How does a Telegram bot send a request to CRM?+
The bot collects and validates required fields, then creates or updates a CRM record under agreed rules. Integration failures and requests that need a decision go to an owner with the relevant context.
06When should a voice robot hand over to an operator?+
Voice automation fits a repeatable scenario with clear outcomes. Ambiguous, sensitive and non-standard conversations should be handed to a person.
A similar challenge?
Show us the current workflow. We will outline the first solution map.
We will discuss the goal, constraints and a practical next step without unnecessary technical complexity.