AI Startfrom 449 000 ₸
Knowledge assistant
One primary channel, approved knowledge, consultation, qualification and human handoff.
- Answers from approved materials
- Contact and context capture
- Human-handoff rules
This service is a good fit
When the answer depends on context rather than buttons
An AI assistant is useful when customers ask the same business questions in many different ways and fixed branches become too rigid.
01This is likely your case if
- Customers phrase similar questions differently.
- Answers depend on approved company materials and context.
- Unknown or sensitive cases must go to a person safely.
02What changes after launch
- Customers get faster answers from approved knowledge.
- Company information becomes easier to access through dialogue.
- Managers receive better context at handoff.
- Permissions and action boundaries are defined in advance.
What the business is paying for
Useful dialogue within explicit knowledge and permission boundaries
An AI assistant needs approved sources, fallback rules and controlled tools rather than unrestricted autonomy.
Approved knowledge
Prepare the company materials the assistant is allowed to use.
Business valueBusiness-specific answers stay grounded in approved information.
Action boundaries
Define permitted tools, confirmations and restricted cases.
Business valueAutomation remains controlled and auditable.
Human fallback
Transfer uncertain or complex cases with collected context.
Business valueThe model is not forced to invent an answer.
What the business gets
The result is an assistant that can improve from real conversations without losing a safe path to a person.
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
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.
KAMOZA approach
What matters when implementing this solution
Grounded in company knowledge
Use approved materials instead of relying on generic model knowledge for business-specific answers.
Explicit action boundaries
Define tools, permissions and cases that require confirmation or human handoff.
Human fallback remains available
Transfer uncertain or complex conversations with collected context instead of forcing an automated answer.
Improves from real conversations
Use real dialogue patterns to refine knowledge and scenarios after launch.
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 ₸.
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
Describe the task and get a price and timeline range
Tell us what you need. We will suggest the launch format, phases and an initial budget range.