Managed autonomy: architectural control of AI agents in BPM processes
How to minimize 'Excessive Agency' risk when implementing AI? Using BPMN orchestration and RLS/RBAC mechanisms to protec...
BPM (Business Process Management) is an approach and class of systems for modeling, automating, executing, monitoring and optimizing business processes.
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...
Transitioning to intelligent information management requires transparency. Learn how to ensure IDP system compliance usi...
How to implement trust architecture and Digital Provenance in business process automation to meet NIS2 requirements and ...
Protecting corporate BPM processes from excessive AI agent autonomy (OWASP LLM08:2025) using strict BPMN 2.0 orchestrati...
Balancing AI agent autonomy and compliance requirements in enterprise architecture using BPMN, DMN, and UnityBase platfo...
Protecting enterprise workflows from excessive AI agency using domain model architectural constraints to turn AI agents ...
In 2026, the shift to AI-native architectures makes rigid SaaS platforms a risk to unique business logic. We explore why...
Preventing excessive AI agency in corporate processes using BPMN and DMN standards and strict architectural platform-lev...
How to build reliable controls and avoid AI errors during automated data extraction from contracts and invoices in large...
How to securely integrate autonomous AI agents into corporate systems by managing risks through API contracts, RBAC, and...
Integrating autonomous agents into enterprise ERP and ECM environments requires strict architectural discipline, using D...