IDP and AI in document management by 2027
Transitioning from traditional ECM to Intelligent Information Management. How IDP and AI technologies automate corporate document processing while maintaining legal validity.
Anton Marrero 6 min read
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Practical guidance on management accounting, budgeting, treasury, period close, financial controls and evidence-based AI.
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68 publications
Anton Marrero 6 min read
Common ECM migration errors: why IDP and workflows stall
Successful migration to modern intelligent ECM systems requires mandatory design of fallback rules in workflows and the creation of a high-quality training corpus for IDP models.
Serhiy Balashuk 6 min read
Integration architecture patterns for AI readiness: from chaos to Data Fabric
AI readiness is defined by architectural data maturity. Transitioning from point-to-point integrations to a managed layer with a unified API contract prevents data processing errors.
Anton Marrero 6 min read
Architectural defense against AI Prompt Injection and leaks
How to protect corporate LLM systems from Prompt Injection and data leaks at the architectural level in 2025, following NIST AI RMF and OWASP standards.
Serhiy Balashuk 6 min read
Secure IIoT integration: bridging IT and OT
Industrial IoT provides production data for analytics and predictive maintenance, but it also exposes OT systems to new risks. A practical approach involves standardizing data exchange via OPC UA, building cybersecurity based on ISA/IEC 62443, and never treating any protocol as a substitute for netw
Mykhailo Vyhovsky 8 min read
AI-Native System Architecture: Ensuring 'Keepalive' Quality and AI Risk Management
AI-native system architecture demands an integrated approach to quality and AI risk management. We examine frameworks, security platforms, and organizational factors.
Serhiy Balashuk 7 min read
Enterprise developer: from code to AI system management
AI-native development is transforming the role of the enterprise developer in 2026-2027, shifting focus from writing code to managing AI systems, security, and domain-specific models.
Mykhailo Vyhovsky 7 min read
Integrating IoT and drone data for industrial operations
Integrating data from drones and IoT devices is transforming the management of critical infrastructure and industrial systems, enhancing efficiency and safety.
Anton Marrero 7 min read
Domain-specific models: when corporate AI needs its own language
Corporate systems require domain-specific language models for security, efficiency, and compliance with unique business processes.
Yuriy Syvytsky 7 min read
Recursive AI self-improvement: preparing businesses for new challenges
The concept of recursive AI self-improvement is transforming process automation. We explore how companies can prepare their data and manage risks.
Serhiy Balashuk 7 min read
Who owns the customer master record: Data Governance for Customer 360
Effective customer data management requires clearly defined responsibilities for master record modifications, especially in the context of AI and cybersecurity.
Anton Marrero 8 min read
Physical AI and IoT: Preparing Manufacturing for Intelligent Systems
Physical AI, IoT, and edge platforms are integrating to create systems that react to the physical world in real-time within manufacturing environments.
Mykhailo Vyhovsky 7 min read