Enterprise developer: from code to AI system management
AI-native development is transforming the role of the enterprise developer in 2026-2027, shifting focus from writing code to managing AI systems, security, and domain-specific models.
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Practical guidance on management accounting, budgeting, treasury, period close, financial controls and evidence-based AI.
45 publications
AI-native development is transforming the role of the enterprise developer in 2026-2027, shifting focus from writing code to managing AI systems, security, and domain-specific models.
Corporate systems require domain-specific language models for security, efficiency, and compliance with unique business processes.
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.
Platform engineering optimizes Kubernetes in hybrid infrastructures, ensuring cost predictability, enhanced security, and operational efficiency.
Effective customer data management requires clearly defined responsibilities for master record modifications, especially in the context of AI and cybersecurity.
A critical zero-day vulnerability, CVE-2026-35273, in Oracle PeopleSoft has been exploited by the ShinyHunters group to compromise educational institutions, highlighting the ongoing risks associated with legacy ERP systems.
A practical approach to choosing an electronic document management system: critical questions during demos to avoid overspending and reduce IT project value.
AI-driven automation of document management in logistics is essential for enhancing efficiency and regulatory compliance, but requires careful planning.
Choosing between Apache Kafka and message queues for event-driven integration depends on scale, reliability, and cybersecurity requirements.
Integrating AI with existing ECM and BPM systems to automate internal requests. A practical approach to classification, data extraction, and routing.
Integrating Scriptum.DMS with the NIS2 directive and AI enhances data protection and document workflow efficiency, particularly within the public sector.