Podcast Summary:

AI to ROI — Navigating the Shift to AI-Powered Revenue Workflows: A CFO’s Perspective with Drew Laxton, CFO, Outreach
Host: Ray Rike
Guest: Drew Laxton
Date: February 10, 2026

Episode Overview

In this episode, Ray Rike welcomes Drew Laxton, CFO of Outreach, to discuss the evolving landscape of AI-powered revenue workflows from a CFO’s perspective. The conversation covers Outreach’s transformation, the integration of agentic AI into sales workflows, measuring the ROI of AI investments, the impact of AI on SaaS financial metrics amidst consumption-based pricing, and the shifting responsibilities of finance leaders in a rapidly innovating SaaS landscape.

Key Discussion Points & Insights

1. Outreach’s Transformation and AI-Powered Workflows

Timestamp: 02:09 - 05:04

• From Sales Engagement to Revenue Workflow Platform:
  Outreach started as a sales engagement tool, primarily serving SDR teams, but has evolved into an AI-powered platform for revenue operations with deep workflow automation and advanced opportunity management.
• Conversational Intelligence & AI Integration:
  Outreach added forecasting and opportunity management tools in 2021. The latest shift brings “agentic AI” into the core platform, automating manual processes for sales reps—such as prospecting and personalized communication based on historical CRM and behavioral data.
• Ease of Implementation & Consumption-based Model:
  New AI capabilities require minimal configuration, making rapid deployment possible. Outreach has embraced a consumption-based pricing model layered on top of the traditional SaaS offering.
• Quote:

  “At its core, we make your AEs more efficient…We have added agentic AI into the platform to go help those workflows where there’s manual processes and automate them for sales reps.” — Drew Laxton (03:00)

2. Shifts in Economic Buyers & Internal Adoption

Timestamp: 05:04 - 08:20

• Changing Decision-Makers:
  Outreach’s buyer profile has shifted—now targeting Chief Revenue Officers and Heads of Revenue Operations who take a holistic, company-wide view.
• Internal Use of Outreach at Outreach:
  The entire Outreach sales team uses the product daily, including AI-driven features for forecasting and opportunity management. This dogfooding approach enables tight feedback loops and cross-departmental alignment (legal, order management, and finance teams also leverage signals).
• Quote:

  “Our entire sales team uses Outreach every single day. We use our conversational intelligence tool. We use our workflows, we use our AI, we measure it, we talk about it.” — Drew Laxton (06:40)

3. The CFO’s Evolving Role in AI ROI

Timestamp: 08:59 - 13:19

• Evaluating AI with Traditional Criteria:
  Laxton evaluates AI tools similarly to other software: “It must impact the top or bottom line.” He expects measurable productivity or efficiency gains (e.g., code QA acceleration with AI).
• Soft vs. Hard ROI:
  Some benefits—like enablement or content quality—are “soft” and harder to quantify, but impact employee satisfaction and performance.
• Pushing Experimental Use:
  Laxton encourages broad experimentation with AI tools to discover novel use cases, including leveraging Outreach’s own agents to analyze sales performance and adoption of new features.
• Quote:

  “If this can impact each one of our sellers… to be able to move faster and have just a better overall quality of life, then that’s a victory.” — Drew Laxton (10:10)

4. Financial Value and Board-Level Metrics

Timestamp: 11:56 - 13:19

• Board’s Focus on Tangible Outcomes:
  Productivity gains must translate into financial improvements—revenue acceleration, increased operating profitability, higher ARR per FTE.
• Incremental Impact Sought:
  Real value comes from being able to increase quotas or product capacity per employee via AI-driven efficiencies.
• Quote:

  “We either need to be growing faster or more efficiently or gaining efficiencies on the bottom line…and for sure we see that in the numbers ultimately.” — Drew Laxton (12:49)

5. Impact of AI/LLMs on Gross Margins

Timestamp: 13:19 - 17:27

• Heightened Compute Costs:
  AI features reduce gross margins versus traditional SaaS due to higher compute and infrastructure costs (with LLMs as the primary driver).
• Improving Economics:
  Costs are dropping due to both Moore’s Law–style hardware advances and better engineering—matching model complexity to use case (not always needing the most powerful LLM).
• Shared Accountability:
  Responsibility for gross margin on AI products is split between finance, product, and engineering. Product handles pricing and packaging, engineering optimizes infrastructure, and finance acts as “scorekeeper.”
• Quote:

  “For certain, our gross margin is worse on our AI products than it is on a traditional SaaS product…even like our forecasting tool, the gross margins are massive…The compute on an AI product is massive.” — Drew Laxton (13:58) “We don’t want to give up performance…but at some point this gross margin piece is going to become important…” — Drew Laxton (14:49)

6. Model Selection and Financial Efficiency

Timestamp: 16:40 - 17:27

• Model Optimization:
  Outright swapping models isn’t as simple as flipping a switch, but great care is put into choosing right-sized LLMs for each workflow.
• Ongoing Learning:
  As understanding deepens, cost efficiencies and performance optimizations are expected to improve further.

7. Measuring and Validating ROI on New AI Tools

Timestamp: 17:27 - 21:01

• Structured ROI Models Still Evolving:
  For significant investments (e.g., $80,000/year tools), there are KPIs and metrics established at purchase, but perfect granularity is rare. FP&A teams own the process and ongoing measurement.
• Customer Proof of ROI:
  Outreach is able to validate ROI for AI-powered products by comparing baseline data to post-deployment metrics (especially in pipeline build, conversion rates, cycle time, and AE productivity)—the “light bulb moment” for customers.
• Quote:

  “We try to make sure that we’re measuring impact of these things as much as we possibly can… But we do try to think and make sure that we’re measuring impact…as much as we possibly can.” — Drew Laxton (18:03) “It’s pretty easy for us to baseline because we’re going to grab a lot of that data...and we can just show the before and after where the improvement is.” — Drew Laxton (19:47)

8. SaaS Metrics & the Shift to Consumption-Based Pricing

Timestamp: 21:01 - 28:23

• Challenging Traditional Metrics:
  Moving from committed subscription/SaaS to variable, consumption-based pricing complicates ARR, CAC, and payback calculations. Consumption is lumpy—not linear like SaaS revenue.
• Adapting Measurement:
  Outreach now uses trailing 12-month/annualized recognized revenue to anchor metrics. Traditional metrics (like the “snowball” of ending/starting ARR) don’t translate cleanly.
• Net Revenue Retention (NRR):
  NRR is normalized by looking at annualized revenue per cohort, accounting for variability in credit consumption and expansion. Product utilization emerges as a forward-looking retention signal.
• Quote:

  “What is your ARR has become a lot more challenging question than it used to be…there’s a bit of trying to fit a square peg in a round hole and taking some of these more consumption-based metrics and fitting them into traditional SaaS metrics.” — Drew Laxton (21:40) “Product utilization…in this highly variable consumption world becomes a core signal to retention… it’s not just revenue anymore, it’s utilization.” — Ray Rike (27:32)

9. Rapid Fire: Key Metrics & Career Advice

Timestamp: 28:23 - 29:59

• Measuring AI ROI:
  • Top and bottom line impact is paramount.
  • Actual user adoption is a leading indicator of future value.
  • FP&A teams should own measurement/reporting.
• Advice for Aspiring CFOs:
  Be relentlessly curious—ask questions, learn continuously, and build strong cross-functional relationships.
• Quote:

  “Be curious. Just be curious about everything. Ask questions, get time with the CFO or the leaders of the various organizations…The support I’ve gotten from people when I just ask questions…has only benefited me.” — Drew Laxton (29:59)

Notable Quotes

• “At its core, we make your AEs more efficient…” — Drew Laxton (03:00)
• “Our entire sales team uses Outreach every single day…we use our AI, we measure it, we talk about it.” — Drew Laxton (06:40)
• “It must impact the top or bottom line. Otherwise it probably isn’t worth doing.” — Drew Laxton (09:55)
• “Performance…I think is actually very important… but at some point this gross margin piece is going to become important.” — Drew Laxton (14:49)
• “What is your ARR has become a lot more challenging question than it used to be…” — Drew Laxton (21:40)
• “Be curious. Just be curious about everything.” — Drew Laxton (29:59)

Timestamps for Key Segments

• Outreach’s Platform Evolution: 02:09 – 05:04
• AI Integration & Buyer Persona Shifts: 05:04 – 08:20
• CFO’s Approach to AI ROI: 08:59 – 13:19
• Gross Margin & Cost Considerations: 13:19 – 17:27
• Model Selection & Financial Impact: 16:40 – 17:27
• ROI Measurement & Customer Validation: 17:27 – 21:01
• Metrics in a Consumption World: 21:01 – 28:23
• Rapid Fire/Career Advice: 28:23 – 29:59

Memorable Moments

• Practical AI Usage: Drew describes using Outreach’s AI tools internally, harmonizing sales, finance, and legal workflows.
• Honest Metric Struggles: Drew candidly admits the challenges in mapping consumption-based AI to SaaS metrics: “It’s kind of trying to fit a square peg in a round hole...” (21:40)
• Curiosity as a Career Driver: Drew encourages aspiring CFOs to be curious and to seek answers directly from business leaders (29:59).

This episode offers a candid look at how AI is reshaping both product and process for SaaS companies—illustrating the practical, financial, and organizational changes underway in the race from AI investment to measurable ROI.