Customer Service Chatbots (Built for Support, Not Just Automation)

Customer service is one of the best places to apply automation: faster response times, consistent answers, and the ability to handle high volumes of repeated questions. But a good chatbot is not a rigid script that frustrates users. It should understand context, provide helpful guidance, and know when to hand off to a human.

We build chatbots across channels such as WhatsApp, Instagram, Messenger, and Telegram, connected to your business processes and data. The result: less load, more structure, and a better customer experience.

This page is part of our delivery hub: /en/how-we-are/

What chatbots can solve in practice

1) FAQ and repeated questions

Most first-touch inquiries are repetitive: working hours, order status, pricing, onboarding steps, and policy questions. A well-designed bot can respond immediately and reduce unnecessary tickets.

2) Routing by intent

Instead of sending every message to the same person, the bot can ask 1–2 clarifying questions, tag the conversation, and route it to the right team: sales, support, billing, operations.

3) Structured data capture

Bots can consistently collect details: name, order number, date, issue category, images/documents. This saves agent time and prevents back-and-forth.

4) Actions and integrations

Beyond “chat,” bots can trigger actions: create tickets, open tasks, retrieve documents, update statuses, or send tailored messages. This is where /en/glossary/n8n/ and our automation service help: /en/services/n8n-automation/.

How we build chatbots that get adopted

1) Map questions and flows from real conversations

We collect real customer inquiries, identify recurring themes, and create simple decision trees. If needed, we connect the bot to content from documents or your site.

2) Connect bots to structured business data

Bots become far more useful when connected to data sources:

• lookup by order number
• project status
• customer info in CRM

That’s why this often connects to /en/services/erpnext-plane-implementation/ or at least a clean CRM process.

3) Safe human handoff

The rule is simple: good bots know their limits. We define clear handoff triggers: sensitive topics, complex issues, negative sentiment, or anything that requires human judgment.

4) Measurement and improvement

We measure deflection rate, drop-off points, and which answers need improvements. A bot should be treated like a product that evolves.

FAQ

Is this suitable for every business?

Almost any business with meaningful inquiry volume or repeated questions benefits. Even moderate volume teams can benefit from routing + structured data capture.

How long does it take?

Typically 1–3 months depending on complexity, channels, and integrations.

Can chatbots also run referral campaigns?

Yes. The same bot infrastructure can support campaigns and support. See: /en/services/referral-campaign-bot/

If you want faster, structured, measurable support, chatbots are a powerful tool—when built correctly.