AI customer support isn't about replacing your team — it's about making them dramatically more effective. A well-configured AI handles 60–70% of inquiries automatically, letting human operators focus on conversations that actually need a person.
What AI Handles Well
- FAQs: pricing, availability, shipping, returns
- Account-level questions (when integrated with your CRM)
- After-hours coverage — 24/7 without staffing costs
- Multi-language: English, Russian, Uzbek simultaneously
- Lead qualification: collecting name, company, need
How RAG-Based AI Works
Prochat uses Retrieval-Augmented Generation (RAG). Instead of a generic chatbot, the AI searches your knowledge base for relevant information and constructs accurate answers based on your actual data. This means the AI says "We don't carry that model" (from your catalog) rather than making something up.
Building Your Knowledge Base
- Export your top 50 customer questions from email or chat history
- Write clear Q&A pairs for each
- Add your current price list, shipping policy, return policy
- Include product/service descriptions
- Update when anything changes
⚡ In Prochat, knowledge base updates take effect within minutes. Add a new product at noon — the AI knows about it by 12:05.
Setting Escalation Rules
Configure when AI should hand off to a human:
- AI confidence below 80% → escalate
- Customer uses words like "complaint", "refund", "problem" → escalate
- Conversation exceeds 5 exchanges without resolution → escalate
- Customer explicitly asks for human → always escalate
Monitoring AI Quality
Review AI conversations weekly. Flag incorrect answers and update your knowledge base. Most businesses see AI accuracy improve significantly in the first 4–6 weeks as they refine their content.
Set Up AI Support for Your Business
Prochat Pro includes full RAG knowledge base. Upload your docs — AI is ready.
Try Pro free for 10 days →