Travel and expense management company Emburse saw multiple opportunities where it could benefit from gen AI. It could be used to improve the experience for individual users, for example, with smarter analysis of receipts, or help corporate clients by spotting instances of fraud.
Take for example the simple job of reading a receipt and accurately classifying the expenses. Since receipts can look very different, this can be tricky to do automatically. To solve the problem, the company turned to gen AI and decided to use both commercial and open source models. Both types of gen AI have their benefits, says Ken Ringdahl, the company’s CTO. The main commercial model, from OpenAI, was quicker and easier to deploy and more accurate right out of the box, but the open source alternatives offered security, flexibility, lower costs, and, with additional training, even better accuracy.
With security, many commercial providers use their customers’ data to train their models, says Ringdahl. It’s possible to opt-out, but there are caveats. For instance, you might have to pay more to ensure the data isn’t being used for training, and might potentially be exposed to the public.
