Multi-agent system architecture: from AI experiments to enterprise engineering
How to integrate autonomous AI agents into existing ERP and ECM landscapes without creating unmanaged "shadow IT." A practical approach for building secure mult...
How to integrate autonomous AI agents into existing ERP and ECM landscapes without creating unmanaged "shadow IT." A practical approach for building secure mult...
Integrating AI agents into enterprise operations requires moving from autonomy to architectural governance, using BPMN 2.0 and low-code to maintain security and...
An overview of key DORA, SRE methodologies, and engineering practices to accelerate IT product time-to-market without compromising enterprise system reliability...
An overview of SRE and DORA methodologies, along with practical tools for effective technical debt management and code quality assurance in enterprise systems....
An overview of architectural approaches for large-scale systems: the benefits of modular monoliths, 12-Factor App principles, and risk assessment tools....
An analysis of the benefits of a hybrid approach in IT architecture, combining the speed of low-code platforms with the reliability and security of custom code....
An analysis of the build vs. buy dilemma in IT architecture: evaluating TCO, architectural selection criteria, and the benefits of a hybrid low-code approach....
An overview of integrating AI agents into corporate business processes, covering the role of BPM systems, OWASP security, and BPMN 2.0 and DMN standards....
An overview of Process Mining methodology for analyzing real enterprise digital footprints and automating business processes using BPMN 2.0 and DMN standards....
An overview of Process Mining methodology alongside BPMN and DMN standards for the successful implementation and scaling of business process automation....
A practical guide to selecting the right business process automation tools based on deterministic and probabilistic approaches for optimal efficiency....
An analysis of RPA use after ERP deployment. Learn to distinguish valuable automation from masking legacy processes and build a mature architecture....
An overview of architectural approaches and engineering practices to ensure stability, security, and effective risk management in AI-native systems....
An overview of key changes in enterprise development, new AI security requirements, and the integration of domain-specific models into business....