Help grounded in your offer.
With a handover to your team.
AI agent for customer support
AI agent for customer support
The agent answers questions about your offer and procedures using approved knowledge. It can collect enquiry context, help identify the next step and prepare a case for a consultant. We also define when it should stop answering independently.
Benefits for your team
Consistent help and better prepared cases
The agent is useful where many questions concern the same offer or procedure. It can reduce information-search time and support consultants. We assess answer accuracy, handover quality and topics needing improvement without promising to resolve every case automatically.
Agent capabilities
The agent can explain product features, service scope and available options using approved materials. It helps customers understand differences and find the right information.
It presents current delivery, return, complaint or onboarding procedures. Company documents provide the source, with versions and validity defined in the project.
It identifies the topic and requests information needed for further handling. It can prepare a structured case so a consultant does not restart the conversation.
It assigns a category and suggests a queue under agreed rules. Sales, technical and order questions can follow different paths.
It can point to the appropriate page, form or contact and explain what to prepare. Answers connect with actions available to the customer.
With authentication and integration designed, the agent can read permitted order or ticket status. Data access is limited to the specific user.
It can work internally, preparing responses and sources for employee approval. This is a useful stage before making selected capabilities directly available to customers.
It summarises topics, missing information and cases often passed to people. Results help improve offer descriptions, the knowledge base and support processes.
What we can build for your business
Example workflow
The customer gets an answer and the consultant gets context
A customer asks whether a product suits their needs and how returns work. The agent uses the product description and current store rules, providing relevant information and links. It does not add unconfirmed features or individual promises.
When the question concerns an exception or a specific complaint, it collects agreed details and hands the case to a consultant. The employee receives the topic, necessary information and sources, while the customer knows the next step.
Data and integrations
APIs, CRM and ERP in one workflow
Sources include current service descriptions, product information and procedures. Access to an individual order or customer account requires proper authentication and a separately designed integration.
We can connect your website, product catalogue, knowledge base and ticketing system. Access to an account or order requires identity and permission checks. Channels, history, retention and team handover are designed explicitly, rather than granting default access to the customer database.
Workflow
The agent identifies the topic and gathers information needed to help.
It uses approved content and identifies an available next step.
Uncertain cases or those requiring a decision reach the team with context.
What this process could look like
Preparing for implementation
Preparing for implementation
We need frequent questions, correct answers, current procedures and examples requiring a consultant. We define tone, team working hours and handover information. We can begin with an employee assistant or general questions only.
Output and oversight
Know what the agent did and why
The customer receives consistent help and the consultant receives a structured case. Complaints, refunds and individual commitments can remain entirely with an authorised employee.
Further development
Further development
We can add offer recommendations, languages and channels, and connect company knowledge. Personalised order handling, returns and other actions require separate permission and control design.
Questions and answers
Questions about this solution
No. It can support consultants in a panel, draft ticket replies or operate in a selected support channel. The format follows how you communicate with customers.
We design clear information about the assistant's role and how to reach a person. Communication should not suggest an automated response came from a named employee.
That decision can remain entirely with an authorised employee. Automated financial actions require separate scope, limits, controls and integration acceptance.
It can provide agreed answers and collect case context. When a person is needed, it should explain the next stage without promising an unagreed response time.
We define the authoritative source, validity dates and update process. Withdrawn or unconfirmed content should not form the basis of customer answers.
We can design for that requirement. It involves selecting a suitable model and infrastructure and checking every connection. Not every deployment option processes data locally.
The price depends on the process, data, integrations and requirements. We separate implementation costs from estimated infrastructure, model and maintenance costs. Usage limits are agreed before launch.
Choose the next element
Which process would you like an AI agent to handle?
We design custom AI agents, automation and integrations for businesses. From process audit and prototype to deployment, quality control and ongoing development.
