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AI-agents

AI-agents and assistants for business

24/7 consultations, sales and customer-process automation

An AI agent is more than a website chat. It is a digital assistant that consults customers, works with your business data, performs actions through integrations, and helps automate the journey from a question to a lead, sale, or booking.

What
AI agents
can do?

  • Answer common customer questions 24/7 and reduce the workload on managers and support teams.
  • Consult on products and services, recommend options, and guide customers toward a target action.
  • Accept leads, orders and bookings and send them directly to CRM or other business systems.
  • Check data, prices and availability, perform calculations, and trigger actions through APIs.
  • Automate business processes, synchronize data, and address business analytics needs.

We start with the business problem, not the AI model. We look at where time, leads, or money are being lost, what data already exists in your CRM, website, and analytics, and only then design the automation scenario.

How an AI agent differs from a traditional chatbot

  • Understands natural language and conversation context instead of relying only on rigid predefined scripts.
  • Works with current business data: catalogs, prices, documents, CRM, analytics, and business rules.
  • Does more than answer questions — it can create a lead, check availability, book a time slot, or hand data to a manager.
  • Integrates with CRM, websites, calendars, databases, marketing analytics, and external services.
  • Can transfer context between several specialized agents without asking the customer to repeat information.
How an AI agent differs from a traditional chatbot

The solution is built around your sales and service funnel. We combine AI, website data, CRM, analytics, proven services, and custom integrations without rebuilding technology that already works well.

Our focus is not AI for its own sake. The goal is practical business impact: faster response, fewer lost leads, less routine work, and scalable customer service.

* Where precise rules, validation, or calculations are required, we keep standard software logic. AI is used for communication, context understanding, and unstructured information — making the solution more reliable and cost-efficient.

Examples of AI agent use cases in business

Support

Support

Sales

Sales

Booking

Booking

Orders

Orders

Lead Qualification

Lead Qualification

CRM

CRM

Analytics

Analytics

Multi-Agent Scenarios

Multi-Agent Scenarios

Business impact of AI agent implementation

Fewer repetitive inquiries for managers, call centers, and support teams.

Customers can get answers or move to a lead or booking 24/7 without waiting for business hours.

Faster lead handling and consistent consultation logic during peak demand.

Conversation and lead data goes directly into CRM and analytics without manual transfer.

Start with one scenario, measure the business result, and scale what works.

You do not need a technical specification. Simply describe what is not working today: too many repetitive questions, lost leads, slow response times, or too much manual work in booking. We will propose a practical AI automation scenario.

Tell us where your customer process has the most manual work or lost opportunities — we will propose an AI automation scenario and launch plan.

When developing AI agents, we use Google Cloud, Vertex AI, Gemini, and Python technologies.

Want to know more? Submit a request now.

AI technologies

If you have any questions about our services, please write how to contact you and briefly describe your business.

* Your personal data is completely protected and will not be disclosed to third parties.

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