A late-night scene of a customer getting a live chat reply while an office sits empty.

Customer Service Chatbot

A bot that answers at 11pm, long after your team has gone home A customer visits your site in the evening, has a question about size availability or delivery time, and either gets an answer right away or closes the tab and looks elsewhere. A contact form promising a reply "within 24 hours" has already lost that moment — a competitor's chat window is open.

Ready to publish without client data. --- # A bot that answers at 11pm, long after your team has gone home

A customer visits your site in the evening, has a question about size availability or delivery time, and either gets an answer right away or closes the tab and looks elsewhere. A contact form promising a reply "within 24 hours" has already lost that moment — a competitor's chat window is open.

Most questions that reach customer service repeat themselves: order status, delivery time, product availability, return terms. Your team answers the same things dozens of times a day, and outside working hours nobody answers at all.

During peak periods — after a campaign, on a weekend, in season — the queue of questions grows faster than the team can handle it, and some customers simply give up before anyone gets to reply.

We build a chatbot that answers customer questions based on your actual product range, terms, and order data — available on your site around the clock. Questions it can't handle on its own get passed to your team along with the conversation's context, instead of leaving the customer without an answer.

We connect the bot to your real data — product catalog, order statuses, terms of service — so it answers with specifics, not generic lines like "please contact support." A conversation the bot can't close gets handed to a person together with the chat history, so the customer doesn't have to explain everything again.

What we don't do: we don't build a bot that pretends to be a live agent and avoids admitting it's a bot — the customer should know who they're talking to, and always have an easy path to a person when they need one.

A chat window with a clearly labeled bot icon and a visible handoff button to a human agent.

What you get

  • An answer at any hour, not just business hoursA customer gets an answer to a simple question instantly, whether it's 10am or 11pm.
  • Fewer repeat tickets for your teamYour support team handles cases that genuinely need a person, instead of stating a shipping status for the hundredth time.
  • Fewer abandoned conversations during traffic peaksDuring busy periods the bot handles questions in parallel, so the queue doesn't grow endlessly before someone can respond.

This is a new service line — we don't yet have published deployments to show off, and we say so directly rather than inventing references. We run first deployments on preferential terms, in exchange for the right to describe the result, without client data, as a reference case.

Scope and pricing

The scope covers a bot serving one channel — most often your website or one messaging app.

  1. Ticket analysis. We check which questions dominate customer service today and which ones are suitable for automation.
  2. Building the bot. We connect it to your product catalog, order statuses, and terms of service.
  3. Testing on real questions. We check its answers against questions from your support history before it goes live on your site.
  4. Rollout and handoff rules. We launch the bot and agree on how it passes conversations to your team when it can't handle them alone.

Price depends on the number of channels, the complexity of your product catalog, and whether integration with your order system is needed. You know the amount after the ticket analysis, not before it.

A four-step flow diagram from ticket analysis through testing to a final handoff.

Our guarantees

You set the success threshold. Before we start, we agree on what share of test questions the bot must answer correctly for the rollout to make sense.

A human always reachable. Every conversation the bot can't close goes to your team with full context — the customer doesn't start explaining from scratch.

Your data stays under control. Your product catalog and order data stay in your own infrastructure or with a provider you choose.

Availability

The same team that builds customer service bots also runs the rollouts for our other automation services — so the number of new projects we take on each month is limited.

Order a customer service chatbot

Send us the channel where you want the bot running and a few example customer questions — we'll reply within a few business days with the scope of work and a firm price.

What waiting costs you

Every month without the bot is a month where customers visiting your site after hours hit a form with no reply — and some of them choose a competitor before anyone gets back to them.

In short

A bot that answers based on your real catalog, orders, and terms · available around the clock · harder conversations go to your team with full context · success threshold agreed before we start · your data stays under your control.

Frequently asked questions

Does the bot pretend to be a human?

No — the customer knows right away they're talking to a bot, and can ask for a human at any point.

What happens when the bot doesn't know the answer?

It hands the conversation to your team along with the chat history, so the customer doesn't have to describe the issue again from scratch.

Can the bot check the status of a specific order?

Yes, if we connect it to your order system — then it answers based on live data, not generic statements.

Which channels can the bot run on?

Most often your website and one messaging app — we agree on the exact channels before work starts.

Do we need to change our website to deploy the bot?

Usually not — we embed the bot as an added element on your site, without touching its existing layout and content.

What if the number of questions spikes during a season?

The bot handles questions in parallel, so a sudden traffic spike doesn't create a queue the way it would with a support team of fixed size.