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Customer support
automation
powered by AI

We set up AI support from scratch or take the load off your existing first line. The bot answers around the clock strictly from your knowledge base, with no hallucinations.

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AI and computer vision projects100+
Clients from30+ countries
Clutch rating5.0
Upwork rating5.0

Automation scenarios
for customer service

01

First-line support

Most tickets are the same twenty questions, and they still occupy a person all day.

The bot closes the repetitive ones instantly and escalates only what needs judgement.

Tickets 24/7
02

Pre-sales questions

A visitor with a question at midnight is a visitor who leaves.

The bot advises from your product data and captures the contact while interest is warm.

Lead capture Website
03

Order and delivery status

"Where is my order" arrives dozens of times a day and needs a lookup every time.

The bot checks the order in your system and answers with the current status.

E-commerce Logistics
04

Handover to a human

Customers get stuck in bot loops and end up angrier than when they started.

When confidence drops the bot passes the full context to an agent, without a restart.

Escalation Helpdesk

How it works

Answering a question, capturing a lead or resolving a complaint are different scenarios. In each of them the bot replies instantly, day or night, and only from what it can source.

Pre-sales

A question before buying

Does the standard plan include SSO?

SSO is part of the business plan, not the standard one. If you need it on standard, the team can quote it as an add-on. Shall I have someone reach out?

Pricing page, plan comparison
Support

An order status

Where is order 10432?

It left the warehouse yesterday and is with the courier, due Thursday. Tracking number is in the email we just resent to you.

Order system: 10432
Escalation

A case for a human

I was charged twice for the same invoice.

I can see two charges against invoice 7781. Billing has to reverse one of them, so I am passing this to a person now with the details attached.

Handed to billing, ticket 3312

Channels and integrations

Where the bot answers

One bot, one knowledge base

Website widget
Messengers
Email
Helpdesk
API

We will build a demo on your own website, free of charge

Get the demo

How the solution is built

We keep it lawful and sensible: data is processed to your compliance requirements, and the model and the hardware are chosen for the task, without overpaying for tokens or idle servers.

Your data stays yours

Documents and conversations never leave your perimeter. That keeps the solution compatible with GDPR, HIPAA and internal security policies.

On-prem or cloud

We deploy on your servers or in your cloud, whichever your data policy requires. We size the hardware for the load or fit into what you already run.

The model fits the task

Cloud LLMs or open-source models inside your perimeter. We test candidates on your own scenarios during the first stage and pick by result, not by hype.

How we roll out
AI support

4 Stages
  1. 01

    Collect the knowledge base

    We assemble it from your help centre, past tickets and product data, and mark the gaps.

  2. 02

    Prototype on your content

    We show the bot answering real historical questions so you can judge it on your own cases.

  3. 03

    Channels and handover

    We put it in the channels your customers use and wire the escalation path to your agents.

  4. 04

    Tune on live traffic

    We watch the first weeks, close the gaps the real questions expose and widen the scope.

Get in touch

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Frequently asked questions

01 Will it replace our support team?

It takes the repetitive part of the first line, which is usually most of the volume. Your team keeps the cases that need judgement, and gets them with the full context instead of starting the conversation over.

02 What if it does not know the answer?

It says so and passes the conversation to a person, carrying the history with it. It never invents an answer to fill the silence, because the cost of a confident wrong answer to a customer is far higher than the cost of an escalation.

03 Which channels does it work in?

A website widget, messengers, email, your helpdesk, or anything you can reach over an API. It is one bot with one knowledge base behind every channel, so the answers do not drift apart.

04 How fast can it go live?

A bot on an existing help centre can be answering within days. Adding integrations with your order or billing systems moves that to a few weeks. We say which case you are in after looking at your content.

05 Can we run everything on our own servers, without external clouds?

Yes, though it usually costs more: a self-hosted model needs a GPU server, rented or bought. So while the task involves no sensitive data, most teams start on cloud LLMs. When the data is sensitive, we deploy an open-source model inside your perimeter: the model, the knowledge base and the logs never leave the company, which is what GDPR and internal security reviews ask for. We do it end to end, including the servers, the deployment and the access rules.

06 What happens after launch?

Business processes change and the solution grows with them: we refresh the knowledge base as your policies and products change, extend the scenarios to neighbouring tasks, and move to stronger models as they ship. You can run this yourself or hand it to us as support.