<p>In this episode of Run the Numbers, CJ sits down with Kunal Agarwal, CFO of Gorgias, to unpack how AI is reshaping pricing and operations. They discuss outcome-based pricing, how to forecast LLM-driven costs, and why order-to-cash isn’t just back-office plumbing—it can be a true growth lever when designed correctly.</p><p>—</p><p>SPONSORS:</p><p>Tabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at <a href="https://www.tabs.com/run"><u>https://www.tabs.com/run</u></a></p><p>Abacum is a modern FP&amp;A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at <a href="https://www.abacum.ai"><u>https://www.abacum.ai</u></a></p><p>Brex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at <a href="https://www.brex.com/metrics"><u>https://www.brex.com/metrics</u></a></p><p>Metronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That’s why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at <a href="https://www.metronome.com"><u>https://www.metronome.com</u></a></p><p>RightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit <a href="https://www.rightrev.com"><u>https://www.rightrev.com</u></a></p><p>Rillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you’re scaling on an ERP that wasn’t built in the 90s, book a demo at <a href="https://www.rillet.com/cj"><u>https://www.rillet.com/cj</u></a></p><p>—</p><p>LINKS: </p><p>Mostly Talent: <a href="https://mostlymetrics.typeform.com/to/cLTxtAsN"><u>https://mostlymetrics.typeform.com/to/cLTxtAsN</u></a></p><p>Guest: <a href="https://www.linkedin.com/in/agarwalk/"><u>https://www.linkedin.com/in/agarwalk/</u></a></p><p>Company: <a href="https://www.gorgias.com/"><u>https://www.gorgias.com/</u></a></p><p>CJ: <a href="https://www.linkedin.com/in/cj-gustafson-13140948/"><u>https://www.linkedin.com/in/cj-gustafson-13140948/</u></a></p><p>Mostly metrics: <a href="https://www.mostlymetrics.com"><u>https://www.mostlymetrics.com</u></a></p><p>—</p><p>TIMESTAMPS:</p><p>0:00 Preview and Intro</p><p>2:14 PE to venture incubator</p><p>4:39 Operational empathy from zero-to-one</p><p>4:45 First paying user feeling</p><p>5:40 Jet ski customer support story</p><p>8:49 Hanging with IC sales reps</p><p>12:24 Sponsors — Tabs | Abacum | Brex</p><p>15:44 Finance as the decision engine</p><p>17:36 Gorgias overview</p><p>20:20 Pricing structure and iteration</p><p>22:11 Outcome based / resolution pricing</p><p>24:48 AI success rate as key metric</p><p>25:33 Sponsors — Metronome | RightRev | Rillet</p><p>28:57 Pricing value split — $1 per resolution</p><p>31:17 Vertical specificity as AI moat</p><p>33:27 Managing LLM costs</p><p>35:41 Falling token costs and model mix</p><p>39:28 Order to cash as growth engine</p><p>43:31 Auditing order to cash at 25M ARR</p><p>44:09 Manual choke points</p><p>46:32 Learning density over titles</p><p>48:30 SurveyMonkey as the most formative period</p><p>50:07 Lightning round</p><p>50:17 Listening to respond vs. listening to learn</p><p>51:04 Advice to younger self</p><p>52:02 Finance software stack</p><p>52:45 Cortex — internal AI decision tool</p><p>54:21 Craziest expense story</p><p>54:52 Credits</p>