Organizations are facing an overwhelming volume of AI ideas and proposed projects, alongside growing pressure to demonstrate efficiency, cost and competitive differentiation gains. However, when resources, capital allocation and time are finite, how can AI and IT investment decision-makers best manage the AI ideas backlog?

Join Verdantix for a practical discussion on best practices for collecting, filtering and prioritising AI project ideas. Our experts will examine how leading organizations allocate resources, define clear ownership and decide which initiatives to fund — and which to stop. We will also explore how to nurture ideas into initiatives that deliver measurable business value.

• Learn how to confidently assess, prioritise and filter AI initiatives using a structured, data-driven framework that helps you cut through idea overload, assess value and feasibility, and focus resources on the initiatives that will actually deliver impact.
• Understand how to balance ‘MoonShot’ AI investments with quick wins so you can demonstrate value early and build momentum while progressing larger, transformative initiatives.
• Walk away with a reusable Verdantix prioritisation framework you can apply immediately to evaluate AI agents and other initiatives, align teams and move from pilots and ideas to scaled execution.