AI Startfrom 449 000 KZT
Knowledge assistant
One primary channel, approved knowledge, consultation, qualification and human handoff.
- Answers from approved materials
- Contact and context capture
- Human-handoff rules
Solution depth
From knowledge assistant to controlled actions
These are implementation levels rather than fixed packages. Scope depends on channels, data quality, integrations and the actions the assistant may safely perform.
AI Business
Assistant inside business processes
Additional data sources, CRM context, conversation history, analytics and business-specific logic.
- CRM and multiple data sources
- History and analytics
- Additional tools and languages as agreed
AI Agent
Controlled actions
A limited toolset for approved actions such as booking, status checks, CRM updates or API-triggered workflows.
- Roles and permission boundaries
- Confirmation for critical actions
- Logs and outcome control
Who it is for
For businesses with recurring consultations that need more than a menu and can prepare answers from verified materials.
Compare business chatbot options
Scope of work
An assistant with defined knowledge sources, permitted actions and a route to a person.
Business-process and conversation analysis.
Knowledge-source preparation from approved materials.
Dialogue, clarification and human-handoff rules.
One primary channel in the initial scope unless agreed otherwise.
Testing of real questions, edge cases and access boundaries.
Getting started
What helps us start
No long preparation: just the information needed to agree the task and begin.
Define the real tasks
List what the assistant should answer or do, what requires clarification and what must always go to a person.
Collect approved knowledge sources
Website content, FAQ, documents, instructions and catalogues can be used when they are current and approved.
Identify channels and systems
Decide where the assistant will work and which CRM, API or internal systems are actually needed in the first phase.
Process
How the launch works
Agree the task and estimate first, then move toward launch in clear stages.
Step 1
Review the business process
Understand customer questions, team workflow and the points where context or time is being lost.
Step 2
Set boundaries
Define allowed tasks, restricted actions and mandatory human-handoff conditions.
Step 3
Prepare company knowledge
Select and structure the materials the assistant may use in answers.
Step 4
Design dialogue and tools
Build clarification logic, qualification, tool use and unknown-question handling.
Step 5
Connect systems
Integrate agreed channels, CRM and APIs with the minimum permissions required.
Step 6
Test real conversations
Check real wording, edge cases, answer quality and action boundaries before launch.
Operating model
AI usage and support are separate operating costs
The assistant may depend on AI APIs, servers, storage and external services. These costs depend on architecture and actual usage and are agreed separately from the implementation scope.
Knowledge and scenarios need maintenance
Company information, policies and answer rules can change and may require updates after launch.
External usage is variable
AI API, infrastructure, storage and third-party services depend on real usage and selected architecture.
Related layers
Choose the channel and connected systems separately
Telegram can be the customer channel while the AI assistant provides the intelligence layer behind the conversation.
API integrations are needed when the assistant must read data or perform approved actions in CRM and other systems.
FAQ
Common questions before starting
How much does an AI assistant cost?
The initial implementation price depends on channels, knowledge sources, integrations and action scope. Entry pricing is from 449 000 KZT.
What does an AI assistant do for a business?
It can answer from approved company knowledge, understand free-form questions, collect context and hand complex cases to a person.
Can it use our company documents?
Yes. Approved documents, FAQ, website content and other materials can be prepared as knowledge sources.
Can it work with CRM?
Yes, when the CRM offers a supported API and the assistant is given clearly defined permissions and actions.
What happens when it does not know the answer?
It follows the agreed fallback rule: ask for clarification, state the limitation or hand the conversation to a person instead of inventing an answer.
Are AI API costs included?
No. Usage-based AI API, infrastructure and external-service costs are separate and depend on the selected architecture and real usage.
Next step
Define the AI assistant’s role
Prepare example questions and company materials. We will discuss answers, permitted actions and when a staff member should get involved.