A recent MIT report covered by Forbes paints a sobering picture: 95% of enterprise generative AI pilots are failing. That means most organizations are sinking time and money into AI projects that never make it past the starting line.
Why? It’s not because the technology doesn’t work. MIT found the real issue is how AI is being applied:
In other words—AI isn’t failing. The approach is.
Where Hapax Fits In
At Hapax, we’ve seen this story before. Banks and credit unions don’t need “AI experiments.” They need a purpose-built platform that works from day one and grows with them over time. Here’s how Hapax turns those MIT findings on their head:
The Takeaway
The MIT report makes one thing clear: banks and credit unions can't afford to chase disconnected AI pilots that stall out. Instead, they need a test-and-learn approach to discover where the real value lies for their institution. But testing only works if you have the right foundation — flexibility and infrastructure that let you explore use cases without the cost and disruption of switching tools or starting over.
Hapax provides that foundation. With a purpose-built platform, your institution can move nimbly between use cases, vet them thoroughly, and scale what works—securely, compliantly, and without the 95% failure rate.