Architecture of multi-agent AI systems in enterprise
Integrating autonomous agents into enterprise ERP and ECM environments requires strict architectural discipline, using DDD and RBAC to mitigate security risks.
EXPERT
Anna Lytvyn
Operating Model Consultant
Works on practical business-transformation questions, from defining decisions and roles to validating processes, data and team readiness.
Publications
Managing technical debt and code quality in enterprise systems
How SRE practices, DORA metrics, and engineering discipline help prevent technical debt, while low-code platforms standardize core architecture.
Pragmatic architecture for enterprise systems: avoiding distributed monoliths
Transitioning to microservices without considering operational complexity creates technical debt. We examine approaches for building stable enterprise systems.
Hybrid development in enterprise: balancing custom code and low-code
How to combine the flexibility of custom development with the speed of low-code while maintaining engineering discipline, version control, and robust system architecture.
AI agents in workflow: first-line processing and BPM future
How to combine the flexibility of AI with the rigid logic of BPMN 2.0 and DMN to automate first-line request processing without security risks or operational chaos.
Process mining: visualizing real flows and shadow processes
Process Mining methodology reconstructs real task flows using digital footprints, revealing hidden bottlenecks and unauthorized workarounds invisible to management.
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 2.0, and DMN decision tables.
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 security risks.
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 workflows, email approvals, and fragmented responsibilities often accelerates technical debt rather than resolving it.
Phased legacy ERP migration for uninterrupted transformation
Phased migration of legacy ERP systems in the public sector helps avoid downtime and ensures process continuity by focusing on automation and data.