AI-ROP is a multi-agent system based on artificial intelligence, designed for automating quality control of service and sales management. The system transcribes and analyzes calls, identifies customer pain points and objections, evaluates employee performance based on scripts, provides recommendations for improving dialogue, and generates reports for management.

The product allows reducing the time for evaluating call quality from hours to a few minutes, eliminating subjective errors by supervisors and ensuring uniform evaluation based on configured criteria and checklists.

The system is deployed locally on the client's server, ensuring complete control over data and security of call recordings.

Key Indicators:

• Full call analysis (customer warmth, pain points, objections, manager evaluation) within 1–3 minutes after the call ends
• Evaluation based on script or checklist with configured criteria
• Integration with telephony (Sipuni, Mango, UIS, Zadarma) and CRM (Bitrix24, AMO CRM)
• Deployment on the client's server

Key Advantages

• Speed. Call analysis in 1–3 minutes instead of dozens of minutes of manual listening by a supervisor.
• Objectivity. Employee evaluation based on uniform criteria, weights, and dictionaries, without subjective opinions from supervisors.
• Scalability. Multi-agent architecture allows analyzing hundreds of calls simultaneously.
• Integration with telephony and CRM. Automatic reception of calls via API and export of evaluation results to Bitrix24 or AMO CRM.
• Security. Local deployment on the client's server, call recordings and analytics do not leave the enterprise perimeter.
• Transparency. Decoding of each output: why the manager's score was lowered, what stop-phrases or deviations from the script were detected.
• Learnability. Configuration of the criteria directory, dictionaries of mandatory phrases and stop-words, weights of criteria tailored to the company's business processes.
• API. Documented API for integration with any external systems and telephony.