Dataslab CallClarity AI

An AI service for automated call analysis in contact centres.

The solution helps companies extract more value from every customer conversation: evaluating service quality, identifying key enquiry scenarios, and generating analytics on operator performance.

Speech Analytics

AI Call Analytics

Contact Center AI

Capturing what words leave unsaid.

Dataslab CallClarity AI is an API service for automated analysis of customer service quality in contact centres based on call recordings. The solution processes both inbound and outbound conversations, creates transcripts, and evaluates the interaction between the operator and the customer based on predefined criteria.

Integration with IP telephony and CRM systems automates service quality control, which is often performed manually and on a sample basis in contact centres. As a result, the company acquires a tool for systematic analysis of call recordings and objective assessment of customer interactions.

Typical Use Cases

Service Quality Control

The analysis of call recordings based on clearly defined criteria enables the assessment of operator interactions with customers and the monitoring of compliance with service standards, thereby reducing the amount of recurring enquiries.

Analysis of Commercial Scenarios in Conversations

The system assists in monitoring the utilisation of upsell and cross-sell opportunities during customer interactions, thereby facilitating control over commercial scenarios in conversations.

Operator Performance Assessment

Conversation analysis provides objective information on operator performance and helps generate feedback for the contact centre team, improving operator efficiency.

Call Script Optimisation

Call analysis facilitates the assessment of communication scenarios, enabling the optimisation of scripts based on A/B testing outcomes, thereby reducing the cost of script experimentation.

Service Quality Control

Analysis of Commercial Scenarios in Conversations

The system assists in monitoring the utilisation of upsell and cross-sell opportunities during customer interactions, thereby facilitating control over commercial scenarios in conversations.

Operator Performance Assessment

Conversation analysis provides objective information on operator performance and helps generate feedback for the contact centre team, improving operator efficiency.

Call Script Optimisation

Call analysis facilitates the assessment of communication scenarios, enabling the optimisation of scripts based on A/B testing outcomes, thereby reducing the cost of script experimentation.

Key Advantages of CallClarity AI

Formalised Evaluation Logic

Manual approaches depend on subjective interpretation, while many commercial solutions work with fixed rules.

Dataslab CallClarity AI uses formalised evaluation criteria that can be adapted to the company’s internal standards.

Deeper Interaction Analysis

The majority of solutions are restricted to the verification of individual facts or text transcripts.

Dataslab CallClarity AI adds analysis of intonation, emotions, and compliance with service standards, enabling a more comprehensive assessment of service quality.

Detection of Business Scenarios in Conversations

In traditional approaches, the evaluation of upsell and cross-sell opportunities is not systematic, and standard contact centre solutions usually do not identify these scenarios separately.

Dataslab CallClarity AI enables the tracking of business scenarios within a single analysis system.

Integration of Results into Operational Systems

Manual evaluation and some market solutions require additional steps to transfer analysis results.

Dataslab CallClarity AI integrates with CRM and telephony via API, linking analysis results to customer data.

Analysis at Scale

Manual methods and some tools are limited by the volume of calls that can be analysed.

Dataslab CallClarity AI can work with large volumes of recordings without a proportional increase in operating costs.