Methods for conducting business process discovery interviews and requirements gathering
A practical guide for consultants on using active listening techniques, AI assistance, and structured questioning for process diagnostics.
INSIGHTS & PRACTICE
Methods, exercises and project tools for consultants implementing business solutions.
40 publications
A practical guide for consultants on using active listening techniques, AI assistance, and structured questioning for process diagnostics.
On October 19, 2026, IQusion IT LLC held a final training seminar for its clients as part of the IQusion Days cycle — ‘AI Governance and RAG: Enhancing…
On October 16, 2026, during the IQusion Days event, IQusion IT LLC presented updated human resources management information systems for businesses and…
On October 15, 2026, IQusion IT LLC organized a presentation "FinOps and Cloud Optimization" for its clients as part of the IQusion Days series. The…
On October 14, 2026, within the framework of the IQusion Days cycle, IQusion IT LLC held a training seminar for its clients on the topic "Cybersecurity…
During the IQusion Days event, IQusion IT LLC presented the possibilities of applying artificial intelligence in corporate business process management…
IQusion IT LLC (iQusion IT) has launched the IQusion Days cycle with a series of presentations for potential corporate clients on the application of…
Finding the balance between rapid off-the-shelf software deployment and custom development freedom, evaluating TCO, and avoiding technical debt traps.
Why ignoring organizational principles, lacking data owners, and "big bang" migrations doom corporate integration, and how to build a managed architecture.
The success of AI initiatives depends on data lineage transparency and Data Governance maturity. Learn how to avoid poor data quality traps and prepare enterprise IT architecture for AI scaling.
How to transition from fragile point-to-point connections to a managed integration layer using API gateways and schema registries to ensure enterprise system stability.
The transition to decentralized architectures and AI integration has revealed a critical bottleneck: the lack of clear data ownership undermines the reliability of enterprise systems.