AI adoption is accelerating across industries. Organizations are experimenting with generative AI, embedding AI into business processes, and exploring new ways to improve efficiency, decision-making, and customer experiences.
But as AI moves from experimentation into critical business processes, another question becomes increasingly important: how do organizations govern AI responsibly while still allowing innovation to move forward?
AI governance is no longer simply about creating principles or publishing responsible-AI policies. Organizations need practical ways to put those principles into operation - with clear ownership, appropriate controls, transparent decision-making, and evidence that governance is actually working. This includes addressing AI-specific risks, harmful bias, privacy violations, and other potential risks associated with artificial intelligence systems.
To explore this challenge, Nemko Digital is hosting a live webinar AI Governance: Building Trustworthy AI at Scale on 8 October 2026 at 15:00 CET.
The session will bring together Bas Overtoom and Pepijn van der Laan, who will share complementary perspectives on business-IT transformation, AI governance, model-risk oversight, and GenAI deployment.
For many organizations, the challenge is not understanding why trustworthy AI matters. The challenge is knowing how to make ethical AI part of everyday operations and build reliable AI systems that are safe, fair, and aligned with ethical standards.
As AI use cases multiply across departments and business units, governance needs to become repeatable and scalable. Organizations need to understand who is responsible for AI decisions, how risks should be identified and managed, and what evidence is needed to demonstrate appropriate oversight. This may involve data scientists, AI developers, compliance officers, and business leaders working together through a multi-stakeholder approach.
The webinar will explore how organizations can connect governance expectations with the people responsible for business, technology, risk, and compliance. It will also look at the practical controls and processes needed to support trustworthy AI as adoption grows, including interpretability, explainability tools, bias mitigation, privacy protection, and responsible AI oversight.
Generative AI introduces another layer of complexity. Moving from isolated pilots to broader enterprise adoption raises questions around model risk, AI tooling, oversight, accountability, and readiness.
Effective governance should not become a barrier to innovation. Instead, it should give organizations a structured way to scale AI technologies with greater confidence while developing robust and secure AI systems that perform reliably under expected conditions.
During the webinar, participants will explore common governance challenges and practical approaches for developing a readiness path across AI use cases and business units. The discussion will also consider how AI algorithms can be evaluated for harmful results and how organizations can strengthen end user trustworthiness through transparent AI and privacy-enhanced AI practices.
The goal is simple: help organizations move from responsible-AI ambitions to practical governance practices that can work at scale.
Whether you are involved in AI strategy, digital transformation, technology, risk, compliance, or business leadership, this webinar will provide practical perspectives on building AI governance that supports both trust and innovation. It will also examine the major principles that can guide future AI development and help organizations meet the expectations of regulators.
Join Nemko Digital on 8 October 2026 at 15:00 CET for AI Governance: Building Trustworthy AI at Scale.
Register for free and reserve your place today.