AI Commerce Automations · AI Customer Service
AI customer service
We build AI support workflows that draft replies from your order data, policies and tone, and a human sends them. Response times drop from hours to minutes without your customers ever talking to a wall.
AI Customer Service
Support quality is a data problem wearing a people costume
Most support pain is not about empathy, it is about retrieval: the answer exists in the order system, the shipping tracker or the returns policy, and a human spends four minutes assembling it. Multiply by a thousand tickets and the queue becomes the brand experience.
Draft-first AI attacks exactly that assembly step: the workflow gathers order context, applies your policies and drafts in your tone; the agent verifies and sends in seconds. Quality goes up with speed, because agents spend attention on judgement instead of copy-paste, and full automation is earned intent by intent, on your quality numbers.
What we deliver
AI Workflows
4 active · 1 testingHow we do it
Intent and data mapping
Top ticket intents ranked; for each, the systems and policies an answer requires.
Draft-first rollout
Reply drafts in your helpdesk for the top intents; agents send, edits feed the tuning.
Earned automation
Intents that hit your quality bar for weeks graduate to automation, with rollback, always.
When it makes sense
Support drowns in “where is my order” and returns questions
Response time hurts reviews and repeat purchases
You refuse to put a dumb chatbot in front of customers
See it in practice12,000 SKU described by workflows, approved by people12,000 · sku covered in 3 languagesFAQ
AI customer service
Which helpdesks do you integrate with?
The common ones and the uncommon ones, the workflow layer talks to your helpdesk’s API rather than replacing it, so agents keep their tools.
Does it work in Polish and German, not just English?
Yes, drafts follow the customer’s language and your per-market tone. Multilingual support stops requiring multilingual staffing for every shift.
Is this a chatbot?
No, by default it drafts and a human sends. Full automation is reserved for the safest intents (like order status), and only when you decide the quality clears the bar.
Where does the AI take its answers from?
From your systems: order status, shipping data, return policies and your historical best replies, not from the open internet.
How do we measure whether it works?
Time-to-response, share of drafts sent unedited and hours saved per week, visible per workflow, so the decision to extend is made on numbers.
