Paul BarnhurstFP&A Expert Empowering Finance Professionals to Excel Everday

AI exposes flaws you chose to ignore.

9 Apr 2026 · 0 min

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In this brief commentary, the speaker stresses that successful AI deployment requires a deep understanding of the existing process into which the technology will be embedded. He argues that many organizations skip the crucial step of process mapping, overlooking fundamental issues in workflows or data quality that can severely limit AI's value and even pose risks. While urging against unnecessary delays, he recommends a measured approach: accelerate where appropriate but pause to verify that AI outputs are responsible and aligned with the intended goals.

You need to understand the process that you're installing AI into. And I think in many cases we don't slow down to kind of process map, okay, how is this? Because if there are fundamental problems with the process or fundamental problems with the data, then AI just isn't going to be nearly the value. It could almost be a danger at times, but not nearly the value that we want it to be. It's not hurry up and wait, but it is definitely like hurry up and then maybe pause for a second and make sure that what we're outputting is responsible.