Home / Case Studies / AI
AI customer service and knowledge
based on large language model AI customer service and knowledge base, improve response and Services quality.
project
AI
client volume product, after tickets and internal policy, materials unified, customer service and sales team with fast to answers.
72%
automatic solution rate
58%
response growth under reduce
91%
Knowledge Hit Rate
client
client volume product, after tickets and internal policy, materials unified, customer service and sales team with fast to answers.
core
- knowledge in PDF,, and old system, retrieval efficiency low
- customer service quality, new employees timeline growth
- policy, quote and internal materials need scope
Solutions
- cleaning and knowledge, RAG Enterprise Knowledge Base
- multiple Q&A,, low and quality review process
- for sales, customer service and internal employees configuration knowledge scope and permissions
plan architecture
knowledge and cleaning
vector retrieval and
large language model Q&A Services
multi-channel
conversation quality review and
permissions and logs audit
01
knowledge assets
02
Q&A boundaries design
03
RAG prototype
04
customer service
05
operations industry quality review
06
continuous knowledge more new
achieve result
- high consulting can by AI industry
- Knowledge Retrieval from for conversation consulting
- low quality can and knowledge base
after plan
- tickets system
- increase sales leads
- and multiple materials
AI Assistant solution decision most repetitive questions, let we knowledge management management.
client Services leader
customer service operations manager
Want a similar project plan?
Tell us your industry, current systems, and target metrics. We will provide practical implementation advice.