
Athena Inspector
Comprehensive AI assistant helps improve call center quality
100% of calls are rated quality
Categorize calls to note
Quickly capture feedback, complaints from customers
Improve the professional quality of employees

Manual control calls only make up 3% of all calls
The employee did not follow the procedure during the call
Slow implementation of controls on a non-digitized platform
Sentiment and emotion analytics
Voice Diarisation
Speech To Text
NLP
Uncovering key insights: categorize calls by topic, explore hot topics, define insight by customer group
Improving your customer support: score calls according to criteria, categorize calls by label, scoring details, create your own set of scoring criteria, emotional nuances of customers, employee emotional nuances
Empowering your agent: insights by individual agent, quick support and connect business automation (RPA)
Athena allows you to configure criteria to analyze and score the quality of calls accurately
QA configures evaluation
• Criteria
• Form
• Classification label
• Evaluation mode
AI handles call content separation
• Speech to Text
• Voice Diarisation
• Noise Cleaning
AI automatically analyzes according to the configuration of QA
• Sentiment
• Emotion
• Keyword
• NLP context
• Highlight bad case
AI supports semi-automatic grading QC:
• AI automatically scores
• QC listens back to the call and corrects the results AI
• Evaluation result update system
Reporting and monitoring charts
• Label, score, criteria chart
• Quality monitoring of agent, groups
• Evaluation performance statistics
STT by Environment
Absolutely quiet room: ~95%
Normal room, office: ~90%
Sugar at break-off: ~80%
Speech to text by Use case
Dictation: up to 95%
Customer care via call center: ~90%
Supervising sales staff outside the shop: ~80%
STT by Region
North: 92.21%
South: 89.6%
Central: 87.5%
STT by keyword
Number (Phone number, ID card,...): 93%
Proper nouns (names of people,...): 91%
Date (birth date, contract expiration...): 90%
Scoring according to the form
Accuracy of automatic scoring AI by form: >90%
Sentiment & emotion
Accuracy of AI when automatically evaluating Sentiment & Emotion of customers and agents: >80%
Automation
100% of calls are rated quality
Enhance quality
AI can accurately assesses problem calls
Crisis control
Problem calls are reported immediately for handling
Understanding customers
Capture customer insights to improve service quality