AI QA is automatic customer service conversation scoring, AI reads 100% of conversations, scores according to standards (tone, correct information, policy compliance, problem solving) and gives scores + warnings. No more QC teams reading samples manually, missing bad conversations. Zenify recorded 98.4% accuracy in AI processing.
TL;DR
- AI QA scores conversations automatically.
- Score 100% of conversations, not just samples.
- According to standards: tone, information, policies.
- Instant bad conversation warning.
- Add AI Copilot and AI Agent.
What is AI QA?
AI QA (Quality Assurance) is a system that uses AI to evaluate the quality of customer service conversations:
Scoring criteria | Example
Tone | Polite, sympathetic, not irritable
Correct information | Prices, policies, standard products
Policy Compliance | No promises beyond scope
Problem Solving | Answer the question correctly
Attitude | Be proactive, don't blame
Why do we need AI QA?
1. The QC team couldn't read it in time
Hundreds of conversations/day, 5-10% sample reading is normal.
Bad conversations slip through (see 5 KPIs).
2. Recognize the problem too late
QC discovered that after a day/week, the customer was disappointed.
AI QA warns immediately when it detects bad dialogue.
3. Uneven evaluation
Each person scores one standard.
AI scores according to a unified standard.
4. Don't miss out
100% of conversations are scored, regardless of sample luck.
How to implement AI QA
Definition of grading standards: grading scale, criteria, weights.
For AI to learn properly: Use good/bad conversation patterns.
Automatic grading: AI reads and grades every conversation.
Real-time alerts: below-the-point conversation → management notification.
Combined with manual QA: people check the samples, AI takes care of the rest.
Combine with other AI
AI Copilot: prevents errors before sending (see AI Copilot).
AI QA: detects errors after submission.
AI Agent: handles repetition properly (see What can AI Agent handle).
Training: low-scoring conversations → training materials (see Agent skills).