Customer support automation

Ticket intake, first-line chatbot, and routing — less manual work for your support team.

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Customer support automation

Support automation starts with a map of inbound channels and repeat questions.

We connect messengers, email and CRM, add a bot for routine cases, and keep complex issues with humans.

AI accelerates support — it does not replace your team.

Typical problems

  • Tickets get lost across email, Telegram and phone
  • Repetitive questions burn operator hours
  • No single customer conversation history
  • Managers cannot see SLA bottlenecks

What you get

  • Unified intake with routing
  • First-line chatbot / AI assistant
  • CRM and knowledge-base integration
  • SLA and escalation dashboard

How we solve it

01

Audit & ROI

We map the current process, loss points, and calculate impact before development starts.

02

Architecture & integrations

We design workflow, CRM/ERP/API links, and an AI layer only where it delivers measurable value.

03

Delivery & handover

Production launch, documentation, team training, and optional SLA support.

Typical impact

−40–80%

manual work in the target process

2–8 wks

to first production release

3–6 mo

payback on a typical project

AI implementation

Architecture, LLM integration, CRM/messenger connectors, production deployment, and team handover.

Service details

FAQ

Will a bot replace agents?
No. Bots handle 40–70% of routine questions. Complex cases escalate with full context.
Which channels do you support?
Telegram, WhatsApp, website, email, Bitrix24, amoCRM — based on your stack.
How long does delivery take?
First-line pilot: 2–4 weeks. Full CRM + SLA setup: 4–8 weeks.

Discuss your project

Describe the process or integration — we reply within 4 business hours.