AI is changing FP&A from a tool-assisted workflow into something closer to an operating system for business planning.

In this episode of Terminal Value, Nik Singh sits down with Austin Gardner-Smith, Founder & CEO of Drivepoint, to discuss why financial planning and forecasting are especially critical in consumer, retail, and CPG businesses.

The conversation covers why forecasting can be “life or death” when inventory, cash flow, and margins are on the line; why vertical software may beat horizontal FP&A tools; how AI changes the value proposition of SaaS; and what happens to finance teams as software moves from organizing work to actually doing the work.

Drivepoint is building agentic planning software for consumer and retail brands, helping teams connect data across Shopify, Amazon, retailers, ERP systems, inventory systems, and finance workflows.

Chapters:

00:00 — Why forecasting is life or death in retail and CPG
00:50 — Welcome to Terminal Value
01:00 — What Drivepoint is building
01:20 — Why this is about more than FP&A software
01:50 — What FP&A actually does inside the CFO office
04:10 — The evolution of FP&A tools: Oracle, Anaplan, Adaptive, Workday, Pigment
06:30 — What Drivepoint does differently
07:50 — From financial models to proactive scenario planning
09:50 — Why Drivepoint focuses on consumer and retail
12:30 — Why inventory makes forecasting high stakes
13:40 — How AI changes FP&A for business leaders
15:40 — Trust, permissions, and governed access in AI finance tools
16:30 — Why the UI layer is collapsing
17:20 — Why data quality matters more in AI-native software
19:30 — How software pricing may change in an AI world
22:30 — Will Anthropic or OpenAI build this?
25:10 — How AI changes finance team org design
27:10 — Where Drivepoint goes next
28:40 — Nik’s closing thoughts: context, vertical AI, and where software value accrues

Topics covered:

• FP&A software

• Vertical AI

• Agentic planning

• Retail and CPG forecasting

• Inventory planning

• Strategic finance

• Office of the CFO

• SaaS pricing models

• AI and finance jobs

• Data quality and context layers

• Drivepoint

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