As AI adoption accelerates, many organisations are finding that the biggest challenge is not the technology itself, but ensuring it is used securely, responsibly, and in line with business objectives. Without clear guardrails, organisations risk exposing sensitive information, creating governance gaps, and introducing unnecessary risk.

In this practical session, HAYNE.cloud and BloomAI will explore how organisations can establish sensible AI governance that enables innovation rather than restricting it.

The webinar will focus on the key risks businesses need to manage, including sensitive data exposure, the use of unapproved AI tools, and decision-making processes that lack transparency or accountability. Attendees will gain a clear understanding of how these risks can be addressed through proportionate governance, practical policies, and clearly defined responsibilities.

We will explore what a lightweight AI operating model can look like, including the role of executive sponsorship, IT enablement, risk management, and organisational change. The session will also discuss how organisations can introduce simple processes for assessing new AI use cases, without creating unnecessary bureaucracy.

Using real-world examples, we will demonstrate how different AI use cases carry different levels of risk and why governance should be proportionate to the task being performed. We will also examine the controls organisations should consider, including permissions management, approved tools, auditability, and oversight.

By the end of the webinar, attendees will have a clearer understanding of AI risk, practical governance approaches, and the steps required to create an AI framework that supports innovation while maintaining security, compliance, and accountability.

Sign up to this webinar here