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Generative AI

With generative AI and deepassist, customer service inquiries can be answered with automatically generated, yet relevant and personalized messages.

Two people are talking on the phone using headsets; “LLM” is written in the top right-hand corner
  • Safe AI
  • Industry-specific
  • Controls LLMs
  • Strategic

Generative and semantic AI for personalized customer service

The best of both worlds: Concerns are recognized using Explainable AI and relevant information is retrieved from the company database. The collected data is made available to a Large Language Model (LLM), such as GPT. This enables the LLM to formulate a relevant, personalized response, which is then checked and sent by employees (“human in the loop”).


The problem

Standardized responses to customer inquiries via predefined text modules are not only impersonal, but also cumbersome to use and ultimately lead to a poor customer experience.

Technologies such as Generative Pre-trained Transformer Models (GPT) are powerful, but their functionality is usually opaque (keyword: black box) and they do not have specific company knowledge.

As a result, they are not able to generate relevant and customized answers on their own.

The Solution

deepassist relies on Explainable AI to recognize concerns in a comprehensible way.

Based on this recognition, relevant information is retrieved from the company’s knowledge repository and made available to a Large Language Model (LLM).

This enables the LLM to formulate a relevant and personalized response. The response is then checked and sent by employees (“human in the loop”).

The advantages of Generative AI with deepassist at a glance

With the combination of generative and semantic AI, personalized answers can be created by integrating company knowledge. Explainable AI ensures transparency and verifiability, while the LLM increases the efficiency of answer generation.

  • Personalized answers: The combination enables the creation of individual answers tailored to the customer.
  • Transperancy: With deepassist, the underlying information of the generative models remains comprehensible and transparent.
  • Increased efficiency: The automation of response generation frees up resources in customer service.
  • Improved customer experience: Customers receive quick and precise answers that address their individual concerns.
  • Optimization of knowledge management: The integration of company knowledge into answer generation improves the quality and relevance of the answers.

Automate Your Customer ServiceAutomatisiere Deinen Kundenservice

Let’s plan together how deepassist can best be integrated into your phone, email and chatbot system.

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