The goal is to integrate artificial intelligence into development processes in order to automate tasks, improve software quality and increase lifecycle efficiency. The approach is based on smart, scalable solutions that simplify the work of development teams.

• Automation and efficiency: Automated code generation and error reduction supported by AI.
• Software quality: Advanced code analysis, proactive bug detection and performance optimization.
• Flexibility and adaptation: Faster response to market changes and evolving user needs.

Available services

• AI-assisted development
• Advanced code analysis
• Understanding of existing code
• AI-supported architecture design
• Code transformation and migration
• DevOps enhanced by intelligent agents

Artificial intelligence improves testing activities in several areas by increasing efficiency, quality and the predictive capability of testing processes.

Available services

• AI-supported test creation
• AI-driven automation of test cases
• Analysis of defect reports using AI tools
• Early bug detection through predictive models
• Optimization of non-regression functional testing using AI

AI improves document search, classification and content management, enabling faster and more informed decision-making. Combined with engineering expertise, artificial intelligence can be used to enhance the value and usability of corporate information assets.

Available services

• Automatic document organization
• Content extraction and summarization
• Regulatory compliance monitoring
• Implementation of Retrieval-Augmented Generation (RAG) systems

Artificial intelligence enables automated analysis and handling of customer requests, improving response times and user satisfaction. The combination of algorithms and intelligent technologies enables smooth, effective, market-oriented support.

Available services

• AI-based virtual assistants
• Emotion and interaction-tone analysis
• Early issue detection and troubleshooting
• Monitoring and prevention of customer churn

Artificial intelligence supports the analysis and automation of critical processes, reducing errors and optimizing operational costs. Thanks to FD Group’s experience in applying AI, business performance is enhanced and resources are focused on higher value-added activities.

Available services

• AI-supported process identification and analysis
• Design and development of intelligent automation
• Robotic automation of operational workflows
• System integration through artificial intelligence
• Human-machine interaction (human-in-the-loop)

Artificial intelligence is revolutionizing planning, risk management and decision-making by providing advanced predictive tools that enable more informed and agile project management.

• Forecasting and optimization: Early identification of risks, priority realignment and efficient allocation of resources.
• Analysis and adaptation: Use of predictive models to adjust strategies in real time.
• Automation and control: Streamlining repetitive tasks and improving project visibility.

Available services

• AI-supported planning solutions
• Automation of project flows
• Risk management using predictive models
• AI-based project monitoring
• Portfolio coordination supported by smart technologies

Skilled engineers design AI-based applications to improve operational efficiency. This approach leverages smart technologies to ensure close alignment with strategic goals.

Available services

• Identification and analysis of potential use cases
• Technical feasibility assessment
• Definition of implementation roadmaps
• Implementation and management of pilot projects
• Optimization of processes and operational flows

Well-structured data preparation is essential so that AI models deliver consistent, reliable results. Advanced tools, anomaly detection and data enrichment techniques help improve AI performance. Our data management solutions are designed to be scalable and to maximize the value derived from artificial intelligence.

Available services

• Data collection, normalization and cleaning
• Advanced dataset preparation
• Data enrichment for AI models
• Verification of data availability and quality
• Creation of synthetic data for training