Call Analysis with AI
Speech Analytics
- Manage the quality of communication and sales with artificial intelligence
- The system automatically transcribes conversations, detects customer emotions, and evaluates manager performance
- AI-powered speech analytics turns ordinary calls into a source of data for business growth and team training
Our services
We conduct a detailed
analysis of your business
processes
We identify optimal solutions
for AI integration:
We create BPMN and IDEF models for your business
We visualize corporate operations
We identify growth points
We determine where and how artificial intelligence can be implemented to automate tasks
We provide specific recommendations for the use of AI technologies
Our approach will help not only demonstrate the potential of artificial intelligence but also realize it with maximum benefit
Our successful projects
We have completed 17+ AI implementation projects
Construction
Manufacturing
E-commerce
Real Estate
Retail
Pros and cons of working with and without speech analytics
Manual call checking has long been unable to handle the volume of information that flows daily through sales and support departments. Managers can listen to only a small fraction of conversations, which does not provide an objective picture of what is happening. As a result, decisions are made based on assumptions rather than data.
AI‑powered speech analytics completely changes this approach — the system automatically analyzes all conversations, identifying patterns, errors, and successful scenarios.
Let’s compare the two approaches:
Without speech analytics
With speech analytics
Full coverage
Manual checking, limited number of call reviews
Automatic analysis of all calls, no sampling
Data objectivity
Subjective assessment of manager performance
Data-driven quality control, not opinion-based
Эмоции в данных
Lack of understanding of context and customer reactions
Analysis of customer emotions, intentions, and sentiment
Система обучения
Mistakes repeat due to lack of systematic analysis
Quick identification of errors and successful scenarios
Реальность в обучении
Training based on hypotheses and verbal reports
Training based on real examples from calls
Without speech analytics
Full coverage
Manual checking, limited number of call reviews
Data objectivity
Subjective assessment of manager performance
Эмоции в данных
Lack of understanding of context and customer reactions
Система обучения
Mistakes repeat due to lack of systematic analysis
Реальность в обучении
Training based on hypotheses and verbal reports
With speech analytics
Full coverage
Automatic analysis of all calls, no sampling
Data objectivity
Data-driven quality control, not opinion-based
Эмоции в данных
Analysis of customer emotions, intentions, and sentiment
Система обучения
Quick identification of errors and successful scenarios
Реальность в обучении
Training based on real examples from calls
Statistics
of consultations based
on our company’s metrics
30
%
reduction in operating costs through the use of AI solutions
82
%
of companies improved process efficiency within the first year
98
%
of data becomes available for analysis through technology
85
%
of routine tasks are optimized with AI
Revenue growth with AI
Revenue growth without AI
according to McKinsey & Company
We will conduct a free
audit of your business
Fill out the form, and we will contact you to discuss
chatbot implementation for your business area
chatbot implementation for your business area
Project stages
4 steps to automate routine tasks
Consultation
We fill out a brief during the initial meeting and discuss the necessary tasks
Contract signing
We sign an NDA and a contract specifying the timeline and cost
Strategy development
We dive deep into your processes, build models, identify problems, and determine optimal points for AI integration
Project presentation
We prepare and present a report on AI implementation, expected results, and integration costs
What is speech analytics and who needs it
Speech analytics — is an intelligent system based on artificial intelligence that automatically analyzes phone conversations and turns them into data for business management. It helps understand what customers are talking about, how managers respond, and why the company is losing sales or loyalty.
The technology is especially useful for organizations where communication quality directly impacts results:
- Sales departments — analysis of dialogues, identification of successful scenarios, and script compliance monitoring;
- Call centers and support teams — evaluation of service standards and response speed;
- Financial, insurance, and telecom companies — compliance with regulations and security requirements;
- Service and manufacturing companies — improving the quality of interaction with customers and contractors.
Advantages of implementing automated call analysis with AI
Full communication control
The system records all phone conversations, evaluates their content, emotional tone, and compliance with communication standards. This provides an objective picture of the sales department and customer service performance.
Increased conversion rates and service quality
AI-powered speech analytics helps identify successful communication scenarios and optimize sales scripts. Managers respond faster to objections, and customers receive more accurate and personalized answers.
Time savings for managers
Managers no longer need to listen to hundreds of recordings — the system automatically highlights problematic and exemplary calls. This reduces the quality control workload and accelerates decision‑making.
Faster employee training and onboarding
Based on speech analytics, you can create training collections — examples of the best and worst dialogues. This approach speeds up team development and reduces the number of errors.
Transparent analytics and process improvement
The system generates reports on key metrics: tone, call duration, script compliance, and customer emotional assessment. This helps manage quality at the data level rather than by gut feeling.
We will conduct a free audit of your business
Key features of speech analytics
To address these tasks, AI-powered speech analytics performs several key functions:
- Automatic speech transcription. The system converts calls into text, eliminating manual processing.
- Conversation analysis. AI identifies keywords, topics, emotions, and customer sentiment.
- Communication standard monitoring. Checks compliance with scripts and corporate regulations.
- Identifying reasons for rejections and problems. The system finds patterns and provides recommendations for improvement.
- Reporting and analytics. The speech analytics system automatically evaluates the performance of employees and departments.
For businesses, speech analytics becomes not just a control tool but a development system — it helps increase conversion rates, service quality, and customer trust.
About the company
We have been improving the efficiency of enterprises for ХХ+ years
We are machine learning experts covering the entire development cycle: from idea to integration into business processes and ongoing support.
Our team consists of 30+ professionals with experience at Yandex, Google, Sber, and Microsoft.
We implement artificial intelligence not for the sake of technology, but to solve specific business problems and achieve goals.
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How speech analytics solves business problems and how it works
Modern business depends on the quality of communications. But manually controlling hundreds of calls is impossible — some information is lost, and management decisions are made intuitively. AI-powered speech analytics solves this problem by providing complete and objective quality control of communication.
How analytics helps business:
- Control and transparency. The system automatically evaluates tone, intonation, and response correctness.
- Increased conversion. Finds effective scripts and helps scale the best sales scenarios.
- Loss prevention. Analyzes emotions and reasons for rejections, preventing customer churn.
- Employee development. Trains on real examples — successful and unsuccessful calls.
- Data-driven decisions. Managers receive analytics on each employee, department, and type of inquiry.
How it works:
- Data collection. The system connects to your telephony and receives call recordings.
- Speech transcription. A neural network converts audio to text (speech-to-text).
- Analysis and evaluation. Algorithms identify keywords, emotions, and compliance with standards.
- Report generation. Managers receive ready-made insights and recommendations for improving communications.
Thanks to this, AI-powered call analysis turns conversations into a management tool: helps improve customer experience, increase conversion rates, and build a service culture within the company.
We will identify weak points and propose development strategies during the consultation
Contact us in any convenient way, and we will discuss all the questions
How secure is it to store calls and analysis results?
All recordings are encrypted, access is role-based, and the system complies with personal data protection requirements and corporate security standards.
Can speech analytics be connected to an existing telephony system?
Yes. The solution integrates with most CRM systems, IP telephony, and contact centers without requiring changes to your current infrastructure.
How does AI-powered speech analytics work?
Speech from phone calls is converted into text, after which a neural network identifies topics, emotions, and keywords. Based on the data obtained, reports and recommendations for improving service are generated.
What does AI-powered call analysis give to a business?
The system automatically transcribes and analyzes conversations, identifies reasons for customer loss, and evaluates manager performance. This helps improve communication quality and increase sales conversion.
