How Brex is keeping up with AI by embracing the ‘messiness’

Companies have struggled to adopt the right AI tools as the technology evolves at a far rapider pace than their slow sales cycles.

Corporate credit card company Brex is no different. The startup found itself facing the same issue as its enterprise counterparts. The upshot: Brex completely modifyd its approach to software procurement to ensure they wouldn’t receive left behind.

Brex CTO James Reggio informed TechCrunch, at the HumanX AI conference in March, the company initially attempted to assess these software tools through their usual procurement strategy. The startup quickly discovered its months-long piloting process was just not going to work.

“In the first year following ChatGPT, when all these new tools were coming on the scene, the process itself of procuring would actually run so long that the teams that were questioning to procure a tool lost interest in the tool by the time that we actually obtained through all of the necessary internal controls,” Reggio stated.

That’s when Brex realized had to completely reconsider its procurement process.

The company started by coming up with a new framework for data processing agreements and legal validations for bringing on AI tools, Reggio stated. This allowed Brex to vet potential AI tools quicker and receive them into the hands of testers rapider.

Reggio stated the company utilizes a “superhuman product-market-fit test” to figure out what tools are worth investing in beyond the pilot program. This approach gives employees a much larger role in deciding what tools the company should adopt based on where they are finding value, he added.

“We go deep with the folks who are receiveting the most value out of the tool to figure out whether it is actually unique enough to retain,” Reggio stated. “We’re basically, I would state, about two years into this new era where there’s 1,000 AI tools within our company. And we’ve definitely canceled and not renewed on maybe five to 10 different larger deployments.”

Brex gives its engineers a monthly budreceive of $50 to license whichever software tools they want from an approved list.

“By delegating that spconcludeing authority to the individuals who are going to be leveraging this, they create the optimal decisions for optimizing their workflows,” Reggio stated. “It’s actually really interesting and we haven’t seen a convergence. I consider that that has also validated the decision to create it straightforward to test a bunch of different tools, is that we haven’t seen everybody just rush in and state, ‘I want Cursor.’”

This approach has assisted the company figure out where it necessarys broader licensing deals for software too based on a more accurate headcount of how many engineers are applying what.

Overall, Reggio stated the best way for enterprises to approach the current AI innovation cycle, in his opinion, is to “embrace the messiness” and know that figuring out which tools to adopt will be a bumpy process and that’s okay.

“Knowing that you’re not going to always create the right decision out of the gate is just like paramount to building sure that you don’t receive left behind,” Reggio stated. “I consider that the one mistake that we could create is to overconsider this and spconclude six to nine months evaluating everything very carefully before we deploy it. And you don’t know what the world is going to see like nine months from now.”

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