Artificial Intelligence
A Softline knowledge-base topic covering Artificial Intelligence, its practical use and related implementation decisions.
Term and materials
Materials on Artificial Intelligence
Architectural Shifts for EU AI Act Compliance by 2026
Implementing the EU AI Act's requirements for high-risk AI systems by 2026 mandates a fundamental shift from opaque, model-centric deployments to architectures …
Read material →AI-Assisted Code Review: Identifying Critical Bugs Before the First Commit
The cost of defect remediation increases exponentially with its discovery phase; a bug found in production can be 100 times more expensive to fix than one …
Read material →AI-assisted development: navigating the EU AI Act for enterprise architectures
The integration of AI-assisted development tools into enterprise software lifecycles, while promising productivity gains on the order of 15-20% for routine …
Read material →AI-assisted code review in 2026: navigating CMMI compliance challenges
Integrating AI-assisted code review tools into enterprise development pipelines by 2026 can reduce human review effort for routine defects by roughly 30%, yet …
Read material →Navigating the EU AI Act: Impact on Enterprise System Development in 2026
Integrating AI components into enterprise systems by 2026 will fundamentally alter the development lifecycle, requiring mandatory impact assessments and robust …
Read material →AI-assisted code reviews: improving CMMI compliance in 2026
Achieving CMMI Level 4 (Quantitatively Managed) for software development processes fundamentally relies on objective, measurable control over quality and …
Read material →AI-assisted code review: predicting and mitigating technical debt in 2026
The increasing complexity of enterprise systems, particularly those at national scale such as state registries or critical infrastructure, mandates a proactive …
Read material →AI-assisted code review: shifting from bug detection to architectural drift identification
The increasing complexity of enterprise systems, particularly those with microservice architectures or extensive low-code components, presents a challenge for …
Read material →EU AI Act impact on enterprise system design: preparing for 2026 compliance
The EU AI Act, with its tiered risk framework for AI systems, mandates substantial architectural and operational adjustments for enterprise software by 2026. …
Read material →Composable architecture and AI: navigating the ethics of automated decisions
The shift to composable architectures, where systems are built from independently deployable, reusable components, offers significant agility. However, when …
Read material →The EU AI Act's Impact on Enterprise System Design in 2026
The EU AI Act, set to become effective in 2026, introduces a classification system for AI applications that directly impacts the architectural patterns and …
Read material →Applied AI in document workflows: where LLMs replace, where they fail
The LLM promise in document processingIntegrating Large Language Models (LLMs) into enterprise document workflows presents a compelling opportunity to …
Read material →AI phishing: why even cautious employees open malicious emails
Imagine this scenario: a highly vigilant CFO receives an email from the CEO requesting urgent review and approval of a payment document. The language is …
Read material →DLP in 2026: Data control beyond the corporate perimeter
A sales director, while on a business trip, saves confidential reports to a personal cloud storage to access them from any device. A marketing manager uses a …
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