Generative AI is a type of AI that creates new content — answers, summaries, text — based on learned data, rather than just classification or prediction — and in customer service it helps teams respond faster and more consistently. Zenify recorded a 35% reduction in processing time (approved).
TL;DR
- Generative AI generates new content, not just classification.
- Automatic reply + suggested answers for staff.
- Call summary, automatic conversation.
- Still need control to avoid "fabricated" AI.
- Best application when having business's own data.
What is Generative AI?
Generative AI is a group of AI models capable of generating new content: text, summaries, images — based on trained data. Unlike traditional AI that only classifies (spam/not spam), generative AI "writes down" the results.
In customer service, familiar representatives are chatbots and assistants that suggest answers (see What is a Chatbot).
Ứng dụng Generative AI trong CSKH
1. Automatic reply
Answer frequently asked questions 24/7.
Difficult answer controller (see AI Agent).
2. Suggest answers for employees
Employees select, edit, send — faster than entering from scratch.
Consistent answers, in accordance with brand standards.
3. Call and conversation summary
Summary of content, to-dos, customer emotions (see Call summary).
Change jobs without missing information.
4. Prepare care content
Care messages, emails, reply to reviews.
Personalization based on guest history (see Personalization).
Strengths and weaknesses
Strengths | Weakness
Quick reply 24/7 | Can be "made up" if not controlled
Consistent, standard | Need separate data to answer correctly
High Volume Quick Summary | The answer needs verification
Reduce repetition | Security risk if misconfigured
How to start using Generative AI
Choose the most repetitive task: answer frequently asked questions or summarize.
Provide separate data: for AI to read processes and products (see RAG).
Controller: sets limits on AI autonomy.
Measure and fine-tune (see Pilot 1 channel).