AI Chat
An intelligent assistant that transforms your website and documents into a powerful sales and knowledge tool.
AI Chat is an advanced solution powered by generative artificial intelligence that converts your website (including WordPress) and internal document repositories into an interactive hub for knowledge, sales enablement, and operational efficiency.
The assistant acts as a 24/7 first point of contact, delivering precise answers based exclusively on verified company content. As a result, it reduces team workload, increases user satisfaction, and improves conversion rates.
This is a practical implementation of AI within the organization – aligned with digital transformation initiatives and Industry 4.0 principles.
Why Does This Solution Matter?
Before:
Users manually browse the website, click through subpages, and analyze PDFs and documents. Employees repeatedly answer the same questions via email and phone. Knowledge is fragmented, and access to it depends on team availability.

Now:
A user or employee asks a question in natural language and receives a contextual, precise answer within seconds – complete with a reference to the relevant source. The assistant can also recommend direct contact with a staff member when the situation requires it.

Customer Challenges
Content and Document Overload
WordPress websites evolve dynamically, documentation continues to grow, and users don’t have time to manually navigate complex site structures.
As a result, this can lead to lost potential leads and visitor frustration.
Repetitive Questions to the Sales Team
Operational teams spend a significant portion of their time answering recurring questions about offerings, procedures, or documentation.
AI Chat handles repetitive inquiries, allowing employees to focus on higher-value tasks.
Underutilized Case Studies
Case studies, procedures, manuals, and reports exist, but they are not actively leveraged.
AI Chat automatically classifies and delivers them contextually.
Lack of Insight into User Intent
Organizations often lack visibility into what users are actually searching for.
With a built-in analytics dashboard, it becomes possible to monitor:
What Is the Breakthrough?
AI Chat fundamentally changes how organizations work with information — shifting from passive browsing to active dialogue with institutional knowledge.
This is not a traditional rule-based chatbot built on decision trees. It is an enterprise-grade system powered by:
How Does Our Technology Solve This?
RAG – Answers Based Exclusively on Your Knowledge
The assistant generates responses based solely on the current content of your WordPress website. This prevents so-called “hallucinations” and significantly increases credibility.
Automatic Content Synchronization
Every website update is automatically indexed in the knowledge base. The assistant always responds using the most up-to-date information.
Answers Within Seconds
A vector database enables semantic content search, while cascading query logic optimizes both cost efficiency and response speed.
Full Brand Alignment
The chat widget is fully integrated with your website’s visual identity (colors, logo, typography). Dynamic interactions and proactive engagement behaviors can also be implemented.
Data on Real Customer Needs
The system enables analysis of user behavior, identification of content gaps, and optimization of communication and conversion performance.
Security and GDPR Compliance
We ensure quality control, security, and compliance with organizational policies.
Scalability and Client Deployment Readiness
The entire solution operates on Microsoft Azure infrastructure: stable, secure, and built for scalability.
Metodology 4D
Discovery
Understanding the DNA of the problem before the first line of code is written
The Discovery phase allows for a deep understanding of the business challenge, user needs, and technological context. As a result, the project starts on solid foundations, and key assumptions are validated before development begins.
Key artifact
Standardized Concept Document
Our focus
Our activities
We analyze the client’s business and technological environment: from existing systems to user needs and strategic goals. We validate business assumptions, identify risks, and define the problem to be solved. The outcome is a coherent product concept that forms the foundation for the next stages of the project.
Definition
Translating knowledge and ideas into a concrete product plan
In the Definition phase, we transform insights from Discovery into a detailed solution design. This includes defining requirements, system architecture, and the user experience concept.
Key artifact
Product & Architecture Blueprint
Our focus
Our activities
We translate business goals into specific functional and technical requirements. We design UX prototypes, define the architecture, and plan the project implementation. This ensures development starts with a clear plan and minimal risk.
Delivery
Building and delivering reliable software
In the Delivery phase, we develop the final solution. We focus on code quality, clear communication with stakeholders, and a stable product release.
Key artifact
Production-ready product / deployment
Our focus
Our activities
Our teams build the solution using modern development practices and continuous integration. We regularly test the product and maintain transparent communication with stakeholders to deliver a stable, production-ready solution.
Direction
Transforming a product into a growing digital business
Direction is a phase of long-term product development. Instead of ending cooperation after implementation, we support clients in scaling solutions, introducing innovations, and building a competitive advantage.
Key artifact
Product development and innovation roadmap
Our focus
Our activities
Together with the client, we analyze product data, identify new growth opportunities, and plan future functionalities. We help scale the solution, optimize its performance, and build a long-term product strategy.
The Business Value of Partnering with VM
- Reduced workload for customer service and sales teams
- Increased user satisfaction through instant responses
- Improved conversion rates thanks to faster access to information
- Consistent communication across the organization
- Access to analytical insights that support website optimization and growth
- A scalable and secure enterprise-grade solution
How does it work on a technical level?
Core AI Service
The core of the system that orchestrates the entire query lifecycle. Using Retrieval-Augmented Generation (RAG), the agent answers questions based on a verified knowledge base: it combines context, data, and a large language model (LLM) to generate a response.
RESTful API
A modern API interface based on the HTTP protocol. It enables easy knowledge management – adding, updating, and connecting data sources – as well as integrating agents with other systems.
WebSockets for real-time communication
A persistent connection that enables instant delivery of AI responses. This solution works well in use cases such as customer support chats or technical support systems.
Security and anonymization
Each query passes through an anonymization service that removes personal data (in compliance with GDPR) before reaching the AI model. Access to the system is secured with API keys – only authorized users can use the platform.
Knowledge Base
Company data is stored in a vector database (vector embeddings). This allows the agent to quickly retrieve the right information – not by keywords, but by meaning.
Flexible deployment
AI agents run in Docker containers, enabling fast and consistent deployment across any environment: on-premises, in a private cloud, or in a public cloud (Azure, AWS).
In Which Organizations Does AI Chat Deliver the Greatest Value?
AI Chat performs particularly well in:

Technology companies and software houses

Industrial organizations (Industry 4.0)

E-commerce businesses with large product catalogs and FAQ sections

B2B organizations with long sales cycles

HR departments as a recruitment assistant

Technical support and customer service teams
It can operate as:
A sales assistant (pre-sales support)
A technical knowledge hub
A customer service chatbot
An internal employee assistant
AI/ML
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