Chatbot – intelligent customer service and work automation

Take advantage of the AI mechanism in the form of a Virtual Assistant.

Chatboty

Chatbot

We adapt our chatbots to the specific requirements of customers. Below are examples of chatbots that differ in scope of application, level of sophistication and integration with knowledge bases.

01. Chatbots for customer service
‍(Customer Support RAG Bots)
Description of the action:
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Integrated with knowledge base, FAQ, product documentation and service requests.
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They answer customer questions, solve technical problems, inform about products and services.

Application example: A bank chatbot that uses a database of terms and conditions, contracts and fee schedules to answer customer questions about fees, limits, credits.

02. Internal chatbots for employees
(Internal Enterprise Assistants)
Description of the action:
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They support employees in their daily work.
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They connect to systems such as Confluence, SharePoint, Google Drive, CRM or ERP.
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They help in finding documents, procedures, contacts, project statuses.

Application example: HR Assistant providing answers on vacation policy, onboarding or benefits.

03. Document Search Assistants
‍(Semantic Search Chatbots)
Description of the action:
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They search for fragments of documents based on semantic queries, not just keywords.
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Answers are quoted in the context of the source (so called answer with citation).
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Very useful in law firms, R&D departments, compliance.

Application example: A legal chatbot that finds precedents and interpretations of laws from a company database.

04. Analytical and BI Assistants
‍(Data-Augmented Decision Bots)
Description of the action:
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They support analytics and decision making through access to dashboards, reports and datasheets.
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They connect to tools such as Looker, Tableau, Google Sheets.

Application example: A chatbot that answers the question: “What was the revenue from the B2B segment in Q1 2025?” — using data from Power BI.

05. Chatbots for e-commerce and marketing
‍(Product Discovery Bots)
Description of the action:
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They help customers find products, compare offers, customize recommendations.
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Powered by information about products, reviews, stocks, promotions.

Application example: A fashion chatbot that suggests styling based on catalog data and user preferences.

06. Educational and training chatbots
‍(Learning & Knowledge Bots)
Description of the action:
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Used in employee training, e-learning, onboarding.
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They provide knowledge from documents, presentations, training materials.

Application example: A technical chatbot that teaches new employees how to use a specific ERP system.

07. Project Management Assistants
‍(Project Knowledge Bots)
Description of the action:
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They search and collate information from project documentation, Jira statuses, roadmaps and schedules.
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They can answer questions about tasks, blockers, dependencies.

Application example: Chatbot in the IT company informing the PM about the current status of work on the backend component.

How does an AI chatbot support customer service?
AI-powered chatbot helps you find the information you need faster and supports customer service. It can understand questions asked in natural language, present tailored answers and make it easier for customers to get to the right products, services or information.It's a solution that organizes the communication process, increases the availability of support and relieves teams of the burden of everyday work.
See how it works in practice.

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