Best But Never Final: Private Equity's Pursuit of Excellence

The episode delivers concrete, actionable insights about AI implementation in CFO offices with specific frameworks (data structure, processes, prompting, policies, tools) and real examples (AP automation saving 40-50 hours/month, bookings-billings waterfall modeling). However, substantial portions consist of setup, relationship-building banter, and repeated high-level points about speed and productivity rather than novel operational details. The guest is knowledgeable but pacing is slow relative to density.

“You have to have good data, you have to have good processes and you've got to be able to understand, working backwards, what you want to know about your business daily, weekly, monthly”

“We had a really old system, cards and expense system that didn't have approval workflows...it was taking 40 to 50 hours a month for that person to just basically be sending emails saying do you approve”

The episode covers well-established concepts (data structuring, process mapping, tool selection) in the CFO/FP&A space that are not particularly novel. The advice to invest in data infrastructure and use Scribe for workflow documentation, while practical, is standard practice. The main originality lies in the specific Bluewave implementation details and the continuous-close vision, but broader frameworks around data lakes and semantic layering are widely discussed in BI/analytics discourse.

“Think of it in columns and rows running across as if it were in a giant Excel file. You'd want as many columns and rows of data joined together as possible”

“We're going to evolve from a month end close to a continuous close where you have agents that are continuously reconciling transactions”

Jeff Berry is a highly credible operator: former public equity investor with 8+ years in finance leadership at middle-market companies, now CFO of a PE-backed firm (Bluewave) with demonstrable depth in financial systems and AI implementation. He speaks from hands-on experience running a growing finance function and has measurable results (4-person team supporting 3x revenue growth). However, he is not a Fortune 500 executive or household name, and his primary relevance is to lower/middle-market PE audiences rather than broad B2B operators.

“I'm a former public equity investor turned operator, been finance leadership seats in middle market companies for the last eight years or so”

“I don't think I'm going to need someone [in FP&A]...we've got fairly complex billings...probably three times bigger [revenue]”

The episode provides concrete examples: Scribe tool ($20/month), specific time savings (40-50 hours/month on AP, 50 hours/month on billing), data structuring cost ($25-75K project, $50-100K/year maintenance), Bluewave team composition (4 people, 3x revenue growth), and actual use cases (Claude Code for bookings-billings waterfall, debt schedule modeling). However, many claims lack supporting numbers (e.g., 'meaningful time savings' without quantification, '25% efficiency gains' stated but not proven with data, revenue/scale not disclosed for Bluewave).

“Call it 25 to $75,000 for a project...you're going to spend probably another 50 to 100 grand a year on an outsourced partner”

“We had four people in accounting...Still have four, but uh, we sort of reshuffled...probably three times bigger”

Host questions are generally open-ended and invite elaboration, but follow-ups are often surface-level and rarely push back or challenge claims. The hosts ask 'can you give an example?' and 'what does that mean?' but don't dig into contradictions, ROI quantification, or failure modes. Doug asks a few sharper questions about data retro-fitting and prioritization, but Sean and Lloyd mostly affirm rather than probe. The banter at the start and mid-episode (Vanderbilt jokes, personal asides) wastes time without advancing substance.

“Can we just unpack that, uh, data part a little bit more? It's mentioned a lot. I'm still trying to get my brain around. What exactly does that mean?”

“And you've actually done this, Jeff, actually done it...Can you give us an example?”