AI Agents & Chatbots for Customer Support and Operations
We build AI agents and chatbots that answer customer questions from your own knowledge, take simple actions in your systems and hand over to your team when a case needs a person.
Problems we solve
- Support teams answer the same questions every day
- Customers wait for replies outside office hours
- Bookings and simple requests need manual back-and-forth
- Answers vary depending on who replies
Typical use cases
- Website and messaging chatbots trained on your documentation
- Ticket classification, prioritisation and suggested replies for agents
- Appointment scheduling and booking assistants
- Multilingual support in Polish, English and other languages
- Internal assistants for HR, IT or operations questions
How implementation works
- 1Define scope: which questions and actions the agent may handle
- 2Prepare knowledge sources and connect systems
- 3Build the agent with guardrails and handover rules
- 4Test on real past conversations before going live
- 5Monitor answer quality and improve continuously
Systems and integrations
- Helpdesks such as Zendesk, Freshdesk and Intercom
- CRM systems and booking calendars
- Website chat, WhatsApp and email
- Large language models from OpenAI, Anthropic or Google
- Your internal APIs for orders, accounts and status checks
Security, privacy and human oversight
Agents act only within the permissions you define. Conversations are logged, sensitive actions require confirmation, and every agent has a clear path to a human. We review answer quality regularly instead of assuming full autonomy.
Frequently asked questions
What is the difference between an AI agent and a chatbot?
A chatbot mainly answers questions. An AI agent can also take defined actions, such as checking an order status or booking a meeting, by calling your systems within agreed permissions.
Will the AI replace our support team?
The goal is to remove repetitive work, not people. Agents handle routine questions and prepare cases, while your team handles complex or sensitive situations.
How do you prevent wrong answers?
Agents answer from your approved knowledge sources, are tested on real past conversations, admit when they do not know, and hand over to a person. We monitor quality after launch.
Related services
Discuss your use case
Book a free 30-minute AI consultation. We will look at your process and tell you honestly whether automation is worth it.
Book a free consultation