9 AI Project Challenges and How to Solve Them

Navigating AI Adoption: What's your biggest challenge and how do you solve it?

Trying to harness AI can feel overwhelming. It's complicated and it's not SaaS, there are key challenges that need to be faced.

From decision paralysis and a lack of skills to trying to grapple with infrastructure, ethics, data, security and change management.

Embracing AI means more than investing in technology. It means communication, continuous learning, and long-term vision to really unlock value. ROI isn't always immediate, and AI initiatives need measured progress and expertise that isn't necessarily easily (or cheaply!) available.

Which of these challenges resonate most in your organisation, if you are starting out on your own AI journey?