Deconstructing Coupa: The Debt, the Deals, and Why SaaS Isn't Dead Yet

Deconstructing Coupa: The Debt, the Deals, and Why SaaS Isn't Dead Yet

Nobody dies when a SaaS company overpays for a startup, but the CFO might want to. In this edition of Algo Ego, I put on my hybrid analyst hat and deconstruct Coupa: four acquisitions in twelve months (Cirtuo, Scoutbee, Rossum, and the big one, Tonkean), the Thoma Bravo take-private and the debt sitting underneath it, and a positioning line, "cloud-native agentic trade network," that I don't think does justice to why anyone actually buys Coupa. I'm not here to bury Coupa. Tonkean is a smart, defensive move: Zip had managed to out-Coupa Coupa at the front door, and this is Coupa buying back the front door it pioneered. Call four deals in twelve months a roadmap if you like. I'd call it a confession with a press release attached. A lot of the numbers here are my own back-of-napkin modeling, so, nullius in verba, on the word of no one. The episode closes with my Gain colleague Dor Israeli in Tel Aviv on what AI-first architecture actually demands. Chapters: 00:00 Disclosures: Why You Should Discount Everything I Say 01:33 Why I'm Picking on Coupa (I'm Not Here to Bury It) 03:54 Not Dead Yet: SaaS in the Agentic Age 05:43 Taken Private: $8B, the Debt, and Peak Coupa 06:59 Four Deals in 12 Months: A Confession With a Press Release 13:28 Buying Back the Front Door: Tonkean vs Zip 20:36 "Cloud Native Agentic Trade Network," Word by Word 25:28 Debt, Markdowns, and the Hail Mary 33:57 Teleporting to Tel Aviv: Dor Israeli on AI-First Architecture

Strategic Sourcing Was Always a Compromise

In this episode of Algo Ego, I go solo for a long-overdue lecture on a thesis I've been building over the past several months: Exact Purchasing. The argument, simply, is that Peter Kralik's 1983 HBR matrix has run procurement for forty years, but it was never the right answer. It was the most procurement could afford to do with the labor it had. AI changes that. I walk through the four quadrants of Exact Purchasing (market risk, cost architecture, transaction capture, relationship governance), then turn the lens on the legacy procurement SaaS stack and call code red on suites built around a compromise we forgot was a compromise. I dig into the balance sheets and AI strategies of Coupa, Jaggaer, SAP Ariba, and Ivalua. No holds barred, no economic interest, no apologies. Dor Israeli joins mid-episode for a check on how AI employees change the data picture entirely. No champagne. No cava either.

Managing Things, Leading People

In this episode of Algo Ego, Jason [https://www.linkedin.com/in/jason-busch-96075/]and Lisa [https://www.linkedin.com/in/lisareisman/] take on leadership in the age of AI: not the abstract, Harvard-weekend version, but the real questions facing anyone who manages people, builds teams, or raises kids in a world where unlimited processing power is sitting right next to you. They debate whether AI kills leadership or demands more of it, why the liberal arts may be more relevant now than ever, what happens when entry-level classes shrink and the school of hard knocks loses its enrollment, and whether AI board members are as far-fetched as they sound. Lisa pushes back on ageism, champions the builder mentality, and draws on their family’s experience with military leadership training. Then Jason is joined by Dor Israeli, CTO of Gain [https://www.usegain.ai/], who describes what it’s actually like to lead a software team when one developer can ship 13 features in a day, and why decision fatigue, not code quality, is the new bottleneck. They explore the widening gap between senior and junior developers, why AI slop is already becoming a thing of the past, and how bringing along the average developer may be the hardest leadership challenge of all.

Lisa Reisman

Everybody’s talking about AI layoffs. But the real question at our dinner table isn’t who’s losing jobs, it’s what all of this means for our kids. In this episode, I bring the conversation out of our house and onto the mic with the person who knows my blind spots better than anyone: my wife, business partner, and co-conspirator, Lisa Reisman. Together, we wrestle with some uncomfortable questions: Is traditional education still fit for purpose in an AI-driven world? Is college becoming a necessity, a luxury, or a liability? And how should parents actually think about preparing kids for a future that looks nothing like the one we grew up expecting? We talk about AI's role in the classroom, inversion thinking, career paths that won’t be easily automated, the risks of underemployment, and why helping kids find direction earlier matters more than ever. This isn’t a manifesto or a parenting playbook. It’s an honest, sometimes messy conversation about uncertainty, responsibility, and how to give our kids a real shot at fulfillment in the age of AI.

Guy Stafford

This week, I’m joined by my long-time sparring partner and business builder, Guy Stafford, to reflect on his 25+ years leading the wildly successful procurement firm, Proxima (acquired by Bain), and how those hard-won lessons apply to the age of AI. Guy pulls back the curtain on Proxima’s creation, from a $35 domain name (Buy.co.uk) in the mid-90s to navigating the dot-com crash, before dissecting his philosophy on mentorship: why he works in the shadows, the power of following up, and why the best advice comes from asking, "Who's done this before?" We then launch into a high-octane debate on the future of procurement, covering: * The Proxima 2.0: How AI fundamentally changes the consulting model, forcing businesses to quickly automate tactical work to focus on strategic high-level interactions. * The Black Box CPO: Why AI will make procurement about more than just savings, and how the micro-coaching capabilities of AI could offer live, tailored advice to category managers (like a fitness tracker for your professional life). * The Race to Relevance: Guy shares a crucial warning for CPOs: the race isn't defined by industry, but by who in the organization (Finance, IT, or Procurement) effectively wields the new AI power, and what skills are needed to stay on top.