
Head of AI R&D
Roman Omelchuk is Head of AI R&D at Devox Software, where he orchestrates how advanced technology actually moves from idea to execution. He focuses on keeping projects flowing — clarifying priorities, aligning teams, and ensuring that AI-powered solutions translate into smoother operations and faster delivery. His articles explore how AI can make operations clearer, collaboration tighter, and complex work more manageable for growing organizations.
Key Knowledge Areas: AI Solutions, Intelligent Automation, Data Analytics
This article explores how enterprises can evaluate their AI readiness using structured frameworks, maturity models, and adoption checklists. It provides practical insights, comparisons, and examples to help CTOs and decision-makers make their enterprise AI native.
A practical comparison of Intelligent Document Processing and traditional OCR, showing how AI-driven automation transforms documents into structured, actionable data.
This paper examines responsible AI systems that are not only effective, but also transparent, accountable, and aligned with compliance expectations. It requires a system-level approach that combines many components, such as architecture patterns, governance frameworks, continuous monitoring, and, of course, human oversight. Drawing on research sources, the paper explores how organizations balance between high-level AI principles and practical implementation to reduce sociotechnical risks.
This article explains how logistics organizations are transitioning from legacy TMS platforms to AI-orchestrated supply chains by analyzing current systemic challenges, emerging technologies, and a practical roadmap for modernization.
If you’re preparing your manufacturing software for AI in 2026, this report shows how real manufacturers make their systems production-ready for predictive and autonomous AI while achieving measurable business results.
How manufacturing teams replace Excel-based coordination with AI workflows that formalize decisions and stabilize execution.
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