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Mainframe

B2B — Automation & Build

AI Chatbot for Business

An AI chatbot on your website or internal helpdesk — answers customer questions, qualifies leads, takes load off your support team. On your infrastructure, with your content.

An AI chatbot that understands real customer questions and answers them — based on your own content, products, and FAQ data. Not a 2010s keyword-matching gimmick, but a language model that replies in full sentences and asks for clarification when needed.

Typical use cases

  • Website support relief: handles recurring questions about products, prices, delivery times, opening hours — escalates complex cases directly to your team
  • Internal helpdesks: employees ask, the bot answers from your knowledge base (onboarding, IT processes, compliance guidelines)
  • Lead qualification: asks initial questions, captures intent in a structured way, hands off qualified leads to your sales team
  • Pre-sales guidance: walks prospective customers through a product catalogue, recommends suitable options

What’s included

  • Concept workshop: which questions should the bot answer, where does it escalate, how do we measure success
  • Build of a searchable knowledge base from your existing content (website, manuals, FAQ)
  • Frontend integration: as a widget on your website, as a standalone page, or in internal Slack/Teams
  • Authentication and access control (internal), GDPR-compliant logging (external)
  • Escalation paths to the support team with full conversation context
  • 30 days of post-launch support, regular reindexing of new content

Stack options

Standard: OpenWebUI or a custom frontend with RAG against Qdrant. Language model either via API (OpenAI, Anthropic) or running locally on your hardware (see On-Premise LLM Deployment) — in which case no word leaves your network.

What’s not included

No voice or phone bot — let’s discuss separately. No generative image output.

Delivery timeline

3–5 weeks depending on knowledge base scope and frontend complexity.

Realistic expectations

A well-configured chatbot handles 60–80% of recurring questions without human intervention. The remaining 20–40% should escalate cleanly. Anyone expecting “100% automated” builds frustration — for customers and the support team alike.