Auditing AI solutions in document management: risk management for IDP
How to build reliable controls and avoid AI errors during automated data extraction from contracts and invoices in large enterprises.
DECISIONS & DELIVERY
Process Automation
Practical guides to operating models, process automation, transformation governance, management data and controlled AI.
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37 publications
Integrating AI agents into corporate business processes
How to securely integrate autonomous AI agents into corporate systems by managing risks through API contracts, RBAC, and data isolation within the perimeter.
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.
Automating business processes with AI agents: maintaining control
Integrating generative AI into corporate processes using BPMN 2.0 and DMN for secure AI agent orchestration and maintaining system control.
Secure process automation using AI agents: risk mitigation architecture
How to integrate autonomous AI agents into enterprise systems, avoid the risk of Excessive Agency, and maintain full control using BPMN 2.0 orchestration and DMN rules.
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.
Common integration mistakes that destroy IT architecture
Why ignoring organizational principles, lacking data owners, and "big bang" migrations doom corporate integration, and how to build a managed 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.
Automation antipatterns: chaos, RPA, and AI risks
How to avoid cementing inefficiencies, replace fragile RPA scenarios with reliable API integrations, and safely implement AI into operational workflows using BPMN and DMN standards.
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.
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 to eliminate shadow processes and enable flexible modeling.