techno.contact

Work/Customer operations

AI Customer Support

An AI support layer

Routine questions resolve against the knowledge base. The rest reach a human with context.

Problem

Support repeated the same answers from documents that agents searched by hand. When a question was new, the customer started over with the next person.

Before

The knowledge lived in files and in senior staff. CRM notes were a separate story from the answer the customer had already received.

Solution

A RAG layer answers from the approved knowledge base. The CRM holds the customer. If the model should not continue, the conversation hands over to a person with the question, the sources and the history. Analytics show what was resolved and what was escalated.

Architecture

  1. 01Knowledge base
  2. 02RAG
  3. 03LLM
  4. 04CRM
  5. 05Human handover
  6. 06Analytics

Result

The assistant is not a separate chatbot. It is the front of the same support process, and a person can take over without asking the customer to begin again.

Screens

Conversation and analytics views are shown without customer data.

Related projects

Marketing Analytics PlatformManual exports replaced by one live reporting path.Document IntelligenceDocuments enter the accounting flow as structured fields, not as attachments to retype.

Discuss a project

Answers grounded in the company's own knowledge, with a clean handoff to a person.

Discuss a project