Artificial intelligence
AI assistant development
An AI agent handling customers, data, and internal processes around the clock – not a script with canned answers.
Customers write outside business hours, and the same questions repeat dozens of times a week. Your team answers the same question for the hundredth time instead of handling the cases that actually need a person.
This is for you if
- Repeat customer questions eat real time for your team.
- You want to answer outside business hours, not just 9-to-5.
- You have a knowledge base or documentation the agent can rely on.
- Escalating hard cases to a person matters to you more than the illusion of service.
- You have request spikes your team can't keep up with.
This isn't for you if
- You need a one-off background process automated, not a customer conversation.
- There's no knowledge to base answers on yet – it needs writing down first.
- You expect the agent to replace your whole support team from day one.
- You need a one-off background script processing data, not a customer-facing agent – that's closer to automation.
Timeline
Week 1–2
Knowledge base and scenarios
We gather material and the most common questions the agent should rely on.
Week 3–5
Build and conversation testing
We test the agent against real questions before it reaches customers.
After launch
Tuning on live conversations
The first weeks surface questions the scenarios missed.
Frequently asked
Guides
Jak przygotować wiedzę o firmie, żeby asystent AI odpowiadał klientom poprawnie
Jakość asystenta AI zależy od materiałów, na których pracuje. Jak zebrać, uporządkować i aktualizować wiedzę o firmie w 6 krokach.
Jak napisać prompt do ChatGPT lub Claude, żeby dostać odpowiedź, której możesz użyć w pracy
Sprawdzony schemat promptu w 5 krokach: rola, kontekst, zadanie, format i ograniczenia. Z gotowym przykładem do skopiowania.
What you get
An agent live on your channel
Site chat, WhatsApp, email – wherever your customers actually write.
A connected, current knowledge base
The agent answers from your material instead of guessing.
An escalation path to a person
Hard or sensitive cases reach your team instead of being faked by a bot.
30 days of response tuning
Adjustments based on real conversations, inside the agreed scope.
What we build with
The agent answers from your documents, not the model's general knowledge – fewer hallucinations, more accurate answers.
- Claude / GPT
- Retrieval (knowledge base)
- chat/email integration
Answering the same questions on repeat?
Describe what you're dealing with – we'll reply with scope and a quote for the agent.
Describe your project