Gysho Business Enablement Blog

ISO 42001 & EU AI Act: Auditable AI Risk Management for 2025

Written by Thomas Wink | Oct 14, 2025 11:11:18 AM

In the rapidly evolving regulatory landscape of 2025, enterprise AI leaders face a pivotal challenge: how to operationalise real-time, auditable risk management across composable and modular AI platforms. With ISO 42001 and the EU AI Act setting new benchmarks for governance, compliance is no longer a checkbox exercise, it demands continuous evidence, supply chain oversight, and live monitoring across all AI assets and vendors. This practical playbook explores actionable frameworks for aligning composable AI architectures with ISO 42001 and the EU AI Act, enabling business and technology leaders to achieve operational resilience and measurable trust. digital twins are rapidly advancing from isolated pilots to mission-critical platforms, fundamentally reshaping how organisations manage operations, risk, and innovation. In 2025, the convergence of security, vendor consolidation, and real-time integration has emerged as the defining challenge for business and technology leaders. This article synthesises the latest market research and Gysho’s pragmatic methodology to provide decision-makers with a clear, actionable overview of the digital twin landscape, focusing on ROI, security frameworks, vendor strategy, and best practices for real-time data integration.

01 | The Evolution and Business Case for Composable, Modular AI Risk Management



02 |  What ISO 42001 and the EU AI Act Require: Risk Categorisation, Impact Assessments, and Supply Chain Documentation


 

03 | Building a Living, Audatible Evidence Trail Across All AI Assets and Vendors

 

04 | Frameworks for Integrating Risk Management into Composable AI Platforms

 

05 |Practical Steps for Cross-Framework Compliance: Bridging ISO 42001, EU AI Act, GDPR, and Industry Overlays

 

06 |Leadership Checklist and Case Studies for Board-Level Oversight and Operational Resilience

 

The Path Forward |2025 Next Steps for Enterprise AI Leaders