DECISIONS & DELIVERY
Practical guides to operating models, process automation, transformation governance, management data and controlled AI.
20 publications
A practical analysis of architectural patterns for connecting legacy systems to modern ecosystems: how to avoid point-to-point chaos and why RPA is only a temporary solution.
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.
AI terminology uncertainty creates business risks. Intecracy Group focuses on electronic document management as a proven tool for tangible business outcomes.
The concept of recursive AI self-improvement is transforming process automation. We explore how companies can prepare their data and manage risks.
AI-driven automation of document management in logistics is essential for enhancing efficiency and regulatory compliance, but requires careful planning.
Integrating AI with existing ECM and BPM systems to automate internal requests. A practical approach to classification, data extraction, and routing.
Integrating AI into RPA is transforming business processes, but success hinges on data readiness and effective risk management. Prepare your data.
Phased migration of legacy ERP systems in the public sector helps avoid downtime and ensures process continuity by focusing on automation and data.
AI-driven Scriptum is set to transform document management and workflow automation by 2026, accelerating document processing and business process automation.
Learn how CIOs and IT directors can select processes for AI automation to achieve measurable business impact, rather than another pilot project without results.
Discover how the combination of AI and low-code platforms enables CIOs to rapidly automate business processes, minimize risks, and optimize operations.
By 2026, over 75% of new enterprise applications are projected to be developed using low-code or no-code platforms. Integrating artificial intelligence into these platforms significantly speeds up the creation and optimization of BPM systems.
