Process Automation
Managing automation projects: Process discovery, pilots, and continuous improvement
Why traditional process maps doom IT projects to failure and how to build effective automation based on real logs, BPMN ...
// author
Roksolana Zadorozhna
Digital Practices Editor
Digital Practices Editor at techcom.org.ua. Prepares explanatory and analytical coverage of IT-консалтингу: системної інтеграції, платформ, даних і технологічних операцій.
Process Automation
Overview of BPM platforms: process orchestration using BPMN 2.0 and DMN standards
An analysis of architectural approaches to business process automation. Comparing Scriptum, Camunda, Bonita, and UiPath ...
Process Automation
Low-code, RPA, or AI agent: choosing the right approach
Balancing deterministic orchestration and probabilistic AI in enterprise systems to avoid technical debt and critical se...
Process Automation
Process modeling standards: BPMN, CMMN, and DMN
Effective enterprise process automation requires separating workflow orchestration, flexible case management, and busine...
Process Automation
Prioritizing business processes for automation: signals, metrics, and ROI
A guide to prioritizing business processes for automation using process mining, BPMN/DMN standards, and evidence-based R...
Process Automation
Understanding BPM versus RPA and workflow automation
A guide to BPM, RPA, and workflow automation for IT architects. Learn how to combine BPMN, DMN, and Process Mining to av...
Process Automation
BPM and document management: defining the boundary
Documents store facts, while business processes manage actions. Distinguish between DMS/ECM and BPM to avoid data silos ...
Software Development
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 ...
Process Automation
RPA after ERP: A Bridge or a Digital Patch?
RPA is a useful temporary bridge to legacy systems following an ERP deployment. However, automating Excel-based workflow...
Software Development
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, s...
Software Development
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 cod...
Software Development
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 ...