The business problem
Support teams spend most of their time on repetitive questions, tickets are triaged by hand, and answers vary by agent — so response times and quality drift as volume grows.
Customer support automation reduces repetitive requests, improves triage, and turns first-line support into an AI-assisted workflow — with a human in control of sensitive replies.
Support teams spend most of their time on repetitive questions, tickets are triaged by hand, and answers vary by agent — so response times and quality drift as volume grows.
A request arrives, someone reads and categorizes it, searches the knowledge base or past tickets, drafts a reply, and routes anything complex to another team.
Classification and routing, knowledge-base answers, draft replies, language detection, and follow-up reminders — leaving judgment calls and escalations to people.
We map your real support process and tone, connect the knowledge base and ticketing system, and design an AI workflow that drafts and routes while agents approve sensitive responses.
An incoming message is classified by intent and urgency, the knowledge base is searched, a draft reply is generated in the customer's language, and an agent approves or edits before sending — every step logged.
Faster first response, consistent answers, lower load on agents for repetitive questions, and clear metrics on deflection and quality.
Only where you allow it. Sensitive or low-confidence cases stay with a human; the rest can be drafted or sent automatically under your rules.
Yes — we integrate with your ticketing system and knowledge base rather than replacing them.
Yes. Requests are detected and answered in the customer's language across English, Polish, Russian and more.
Answers are grounded in your knowledge base, monitored for quality, and humans review judgment-heavy or low-confidence cases.
Describe your process and where it slows down. We turn it into structured requirements, an AI workflow and a working, supported solution.