There are lots of parallels to fraud detection! Label imbalance is the obvious one: in both cases, you're looking for the proverbial needle in the haystack, so techniques like anomaly detection or unsupervised learning are really important.

I haven't given much thought to the operations research side of things. I think what I'd ask about any idea there are the same ones I'd ask about any B2B business: first, what's the hard ROI for the customer? How can you measure it? If you succeed, what makes this defensible over time?