FloQast

This is an AccountingToday Publication

The real question when it comes to AI is which AI products CFOs and controllers will choose. The issue at hand is that general purpose AI is a bit too, well, general for enterprise accounting workflows. That introduces what FloQast calls “the DIY tax.”

The DIY tax is the hidden, compounding operational cost of using general purpose AI for enterprise accounting workflows. FloQast’s The DIY Tax: A CFO's Guide to Sustainable AI in Accounting outlines how this manifests in six friction points:

key person dependency
the Excel problem
integration overhead
the auditability gap
version fragility
controls vacuum

Gartner predicts a 30% abandonment rate of generative AI projects after the proof-of-concept stage due to escalating costs, poor data quality, and unclear value. Before you lose the money (and time), FloQast suggests adopting a purpose-built platform that shifts the operational burden of maintenance and audit readiness from your team to the vendor.

To learn more about what getting the wrong AI tool for your organization costs, check out the full report from FloQast.

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