We’re seeing more conversations about AI adoption, but the most meaningful use cases tend to be the ones that solve real, everyday problems.

One example we found interesting is how AI systems are being applied to support victims of cybercrime and financial fraud helping analyze complaints faster, detect patterns, and improve response time for authorities. Instead of focusing on “AI for AI’s sake,” the emphasis here is on measurable outcomes: quicker action, better coordination, and real support for people affected.

Curious to hear the community’s thoughts:
Where do you think AI delivers the most real-world value today public services, security, healthcare, or enterprise productivity? And where do you think the hype still outweighs results?