FEI Podcast

A handful of genuinely useful operational points surface - particularly the diagnostic argument for clean processes and the observation that AI adoption spreads faster once a few use cases land - but they are buried under extensive host commentary, restatements, and platitudes. The ratio of filler to novel insight is poor for a 39-minute runtime.

“if you don't have a good process, if it doesn't work, whatever that criteria is, it's very difficult to diagnose where the problem came from. Is it the AI itself? Is it the process, Is it the person?”

“I have found that it's more of our, uh, creative types that are very excited about it because they have the imagination to figure out the different use cases”

The central thesis - don't layer AI on broken processes - is a widely circulated idea (garbage-in, garbage-out reframed). Most other advice (bite-sized wins, change management, build a champion, lean on your network) recycles standard transformation playbook material with no contrarian or first-principles angle.

“if you try to throw AI on top of a broken process, you're not going to get good results”

“just bite sized pieces”

Both guests are genuine practitioners - Jennifer as a CohnReznick partner running an outsourced accounting practice, Kyle with multiple prior CFO roles - giving them real-world credibility. However, the episode functions as a soft promotional appearance for their firm, and neither guest is speaking as an operator who has deployed AI at scale internally; they are advisors describing client work at a high level.

“I'm a partner here at Cohen Resnick and I'm currently focused on our hospitality vertical and what we call client advisory services”

“His background includes multiple CFO uh, leadership roles, giving you a practical perspective on how finance teams can adapt during periods of growth, transition”

The episode is almost entirely abstract - no named client companies, no dollar figures, no timelines, no before/after metrics, and no concrete case study details. The closest to specificity is a platform mention (Microsoft/Copilot) and a vague reference to 'our own implementations' without any particulars.

“an experience that we recently had is it's very rare, I think, that you get AI in any form and it's ready to go out of the box”

“at Cohen Resnik, we are a Microsoft shop”

Heather Cole frames a few genuinely interesting questions - the reluctant retiring CFO scenario and the training dilemma for junior staff are the sharpest - but she consistently agrees with and amplifies guest answers rather than probing or pushing back, and she frequently inserts lengthy personal anecdotes that consume interview time without deepening the content.

“I've been tasked to oversee AI and I just don't want to do it. He was kind of like, I kind of just want to, like, buy my time and then retire”

“I love that. Yeah. Because there's that fear”