CFO Series Ep. 4: What Your Investors Actually Want from AI in Finance
Maxio
0:00 / 0:00
CFO Series Ep. 4: What Your Investors Actually Want from AI in Finance
56 просмотров · 2 недели назад
Maxio
695 подписчиков
56 просмотров · 2 недели назад
What do investors actually want to see when a finance team adopts AI? In the finale of Maxio's four-part CFO series, Jon Cochrane (CFO, Maxio) sits down with Casey Rihn, who leads the finance operations team at K1 Investment Management, to talk about the AI use cases that move enterprise value: building weekly forecasting dashboards, cohorting thousands of customers by industry and segment in days instead of months, enriching CRM data for cleaner analysis, and cutting time-to-decision so finance operates at the speed the business decides.
Casey shares an investor's-eye view of where AI spend is actually concentrated, why growth is the metric that matters most right now, and how to tell whether a team is genuinely driving value or just running up a token leaderboard. Practical, candid, and grounded in what K1 is pushing across its portfolio.
What we cover:
▸ The pressure investors are putting on portfolio companies to adopt AI, and where they expect results first
▸ Why the SaaS spend increase (roughly $1.2T to $1.4T) is almost entirely AI
▸ Time-to-decision as the real finance metric, beyond a faster close
▸ Weekly dashboards with bookings and churn forecasts to build the "forecasting muscle"
▸ Using AI to segment and tag thousands of customers by industry in days
▸ Data enrichment: going a layer deeper than generic industry tags
▸ Why headcount isn't dropping, and how roles are getting reimagined instead
▸ The "chainsaw vs. handsaw" test for productivity that actually creates value
▸ K1's "rally cry" framework for tying AI experimentation to a North Star
▸ SaaS multiple vs. AI multiple, and what earns the premium
▸ Casey's closing advice: don't settle for incremental change, and be metrics-driven
Chapters:
0:00 Intro: the office of the CFO meets investors
0:55 Casey's background and K1's finance operations team
4:36 The investor pressure to show AI adoption
5:23 Why the focus starts with product and development
6:49 Driving enterprise value, not just a faster close
7:34 Where SaaS growth is going (and why it's all AI)
11:55 From faster close to faster time-to-decision
14:18 Weekly dashboards and building the forecasting muscle
19:55 Data enrichment and reconciling CRM data
21:28 Segmenting thousands of customers with AI in days
26:27 Graduate past inbox and email use cases
28:19 Jobs, headcount, and reimagining teams around AI
32:43 The chainsaw vs. handsaw analogy
35:37 Litmus test: real adoption vs. fluff, and "rally cries"
37:52 SaaS valuation vs. AI valuation and the intelligence curve
43:09 Casey's parting advice: don't settle, be metrics-driven
45:44 Wrap-up
More from the series:
Ep. 1: Connect AI Tools with Confidence • CFO Series Ep. 1: How Do You Safely Connec...
Ep. 2: Spot Anomalies Before They Happen • CFO Series Ep. 2: How Do You Catch Coding ...
Ep. 3: Use Cases That Actually Work • AI in Finance: Use Cases That Actually Work
📺 Watch the full series:
https://www.maxio.com/resources/trans...
About Maxio
Maxio is the financial operations platform for B2B SaaS and AI companies, unifying billing, subscription management, and financial reporting so finance teams can bill accurately, recognize revenue correctly, and get the metrics investors care about. Learn more at https://www.maxio.com
#CFO #AIinFinance #B2BSaaS #FinanceLeadership #FPandA #SaaSMetrics #EnterpriseValue #OfficeoftheCFO