PwC Netherlands Introduces AI Compliance Assurance Service
Amsterdam, Wednesday, 17 September 2025.
PwC Netherlands has launched ‘Assurance for AI’ to evaluate AI’s regulatory, technological, and governance aspects, enhancing transparency and accountability in AI applications.
Boosting Trust in AI Through Assurance
PwC Netherlands has launched a service named ‘Assurance for AI,’ designed to evaluate the regulatory compliance, technological robustness, and governance frameworks of AI systems. This move addresses a critical need for organizations to ensure their AI applications are transparent, accountable, and compliant with emerging regulations. This service is particularly timely given the increased scrutiny on AI systems to operate ethically and transparently, as articulated by Mona de Boer, leader of the Trust in AI practice at PwC Netherlands [1][2].
How the Assurance Service Works
The ‘Assurance for AI’ service offers a range of solutions, from maturity and readiness assessments to comprehensive evaluations of AI applications. These services are intended to provide organizations with independent assurance on their AI systems, thereby enhancing stakeholder confidence. This initiative is built on standards such as the EU AI Act and ISO 42001, ensuring that AI technologies meet sector-specific requirements like those in the financial and healthcare industries [1][2].
Addressing Industry-Specific Compliance
The assurance service is tailored to help organizations meet various legal and societal demands, including sector-specific requirements for industries like finance and healthcare. It also addresses ESG reporting and digital resilience standards. This comprehensive approach enables organizations to deploy AI responsibly, ensuring ethical development and deployment [1][2].
The Importance of Independent Assurance
According to PwC, many companies hesitate to advance AI prototypes into production due to concerns over compliance and ethical risks. PwC’s independent assurance is designed to mitigate these concerns by providing reliable evaluations, which are crucial for gaining the confidence needed to implement AI technologies at scale [1][2].