AI-Powered Call Analyzer

Status:

Completed, Scaling Phase

ROI:

22%

Service:

Automation, AI Analytics

Integrations:

OpenAI, Anthropic, API

Project Objective

Develop a tool that allows companies to analyze operator phone conversations in real-time or post-event.

Client

"ItUa" Company

Location:

Lviv, Ukraine

Project Goal

Create a multifunctional system for automated analysis of operator phone conversations, with scalability, customization options, and AI integration to enhance customer service quality.

Analytics

Cloud telephony

Integration with CRM

CRM system

Features

AI Integration

Using advanced models like GPT-4 and Claude to understand context, tone, and detect script violations.

Scalability

The ability to process thousands of calls in parallel, cloud architecture, with no limits on the number of users or scenarios.

Accuracy and Reliability

The average transcription accuracy rate is 95%, with objective call quality metrics and personalized reports for each operator.

Intuitive Interface

A design adaptable to different types of users — from analysts to contact center managers.

Analytics

Reports by periods, operators, and call types. Dynamic statistics display with the option to export in PDF or CSV formats.

Equipment

Every project is powered by the latest in technological innovation

Results

The developed product allows processing of over 1,000 calls per hour. Thanks to integration with cloud telephony providers and CRM systems, clients can easily connect their contact center to AI analytics without significant costs.

ROI

The system ensured quality control, improved operator efficiency, and reduced costs associated with manual analysis.

March 2025 - May 2025

22%

Reduction in the number of negative inquiries

Improvement in operator efficiency

Gallery

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What Our Clients Say

“We had the great opportunity to start working with the team on implementing the AI Call Analyzer. Even during the setup phase, it was clear that the tool delivers real value automated call analysis, precise transcriptions and service quality evaluation have significantly reduced the daily workload associated with high call volumes. It's a pleasure to collaborate with such a motivated and capable team of partners.”