Low-code as a model-based engineering discipline
We explore why a model-driven approach in UnityBase is the foundation for architectural resilience, helping teams avoid ...
We explore why a model-driven approach in UnityBase is the foundation for architectural resilience, helping teams avoid ...
Preparing enterprise data for AI agents requires structural integrity, domain metadata, and security context to ensure e...
A strategy for the gradual modernization of legacy enterprise systems using the Strangler Fig pattern and the UnityBase ...
We analyze architectural requirements for BPM systems under the NIS2 directive. Learn how on-premises deployment ensures...
How to minimize 'Excessive Agency' risk when implementing AI? Using BPMN orchestration and RLS/RBAC mechanisms to protec...
How to grant AI agents autonomy without losing data control? We examine architectural barriers, OWASP and NIST standards...
Protecting corporate BPM processes from excessive AI agent autonomy (OWASP LLM08:2025) using strict BPMN 2.0 orchestrati...
Integrating autonomous agents into enterprise ERP and ECM environments requires strict architectural discipline, using D...
Balancing software delivery speed and system reliability using DORA metrics, 12-Factor App principles, SRE error budgets...
How SRE practices, DORA metrics, and engineering discipline help prevent technical debt, while low-code platforms standa...
Transitioning to microservices without considering operational complexity creates technical debt. We examine approaches ...
How to combine the flexibility of custom development with the speed of low-code while maintaining engineering discipline...