Logic AI is an AI-powered analysis layer that processes customer call recordings in call centers and transforms raw data into actionable operational insights. By analyzing call content, the system automatically classifies key metrics such as sentiment, intent level, satisfaction tendency, and interaction quality. Thus, each call is positioned not just as a record, but as a data point with strategic decision-making value.
Logic AI analyzes the content of each conversation to detect the real intent and engagement level of the customer. Once processed, calls are segmented into meaningful categories such as purchase intention, indecision, dissatisfaction risk, or recontact need.
This enables operations teams to clearly identify which customer group represents an opportunity area and which one signals risk. Callback priorities are automatically set, eliminating manual control and accelerating strategic action.
After each interaction, Logic AI evaluates the agent’s communication performance using metrics such as empathy level, persuasion approach, compliance with script, and problem-solving ability. This analysis is delivered through a data-based performance report once the call is completed.
With this structure, performance evaluations become objective and measurable through AI-based scoring. Training needs become clear, top performers surface quickly, and quality management becomes data-driven.
Logic AI automatically detects and classifies elements such as complaints, objections, expectations, or satisfaction indicators expressed by the customer. After the call, the entire dialogue is analyzed, and interactions are labeled with precise tags such as “price objection,” “support expectation,” “speed satisfaction,” or “technical issue report.”
This categorization highlights repetitive issues and provides operation teams with a data-driven understanding of customer behavior. As a result, both training scenarios and product development decisions are shaped by real user insights.
Once calls are processed, Logic AI automatically flags customer interactions with conversion potential. Actionable tags such as “re-callable customer,” “persuadable segment,” or “positive intent signal” are generated and synchronized with CRM screens.
With this mechanism, teams can identify priority customer groups among thousands of records without manual scanning. Time loss is minimized, callback processes accelerate, and sales-oriented operations become significantly more efficient.
Thanks to accurate guidance and readily available information, customers reach solutions faster.
Customer satisfaction surveys, Net Promoter Score (NPS), and feedback enable the measurable tracking of quality improvements.
Customer history and previous interactions are instantly displayed, saving the representative time.
Automation, self-service IVR, and efficient agent management optimize the required human resources.
Yes. Logic CC can be easily integrated with existing PBX systems, SIP infrastructure, and CRM software. Full compatibility is ensured with API and webhook support.
Logic CC offers both cloud-based and on-premise (on-site installation) options. Configuration is possible according to your company’s security policy and IT infrastructure.
The system can scale to an unlimited number of agents depending on your infrastructure. If your server resources are sufficient, hundreds of agents can work simultaneously.
Call recordings are securely stored in encrypted format on cloud-based or local (on-premise) servers, depending on your infrastructure.
By default, recordings are kept accessible for up to 12 months; however, this period can be extended according to your organization’s needs or legal requirements.
