Podcast Summary

The Official SaaStr Podcast: SaaS | Founders | Investors

Episode 839: "Why Most SaaS Companies Will Fail at AI (And How to Avoid It)" with Intercom's CPO
Date: January 28, 2026
Guest: Chief Product Officer (CPO) of Intercom
Host: SaaStr

Main Theme

This episode delves into the existential challenge faced by SaaS companies in the wake of the AI revolution. The CPO of Intercom shares an unflinchingly honest account of Intercom's own painful, company-wide transformation from a classic SaaS provider to a truly AI-native organization, focusing on what’s required to not only survive but seize the AI opportunity. The guest explores what it means to "re-found" your company, why adding AI features is not enough, and how legacy processes, structures, and even people must change if SaaS companies want to remain relevant.

Key Discussion Points & Insights

1. Why SaaS Companies Must Disrupt Themselves for AI

• AI is inevitable: Companies must ask themselves, "Why do we exist in a post-AI world?"
• Selling seats, GUIs, CRUD tasks—these models are obsolete or fundamentally changed with AI's rise.
• Winning companies will deliver outcomes powered by best-in-class AI, custom models, and RAG (Retrieval-Augmented Generation) systems—and do it fast.

  "You need to ask yourself why you exist in a post AI world. Most SaaS companies sold seats... None of these things make sense anymore... There's no seats in a post AI world. Or at least the way seats are orchestrated is very, very different." (Intercom CPO, 00:11)

2. Intercom’s Brutal Transformation to Deep AI Company

• Intercom had seen classic SaaS growth ($1M to $50M ARR in three years).
• After IPO prep and five quarters of declining revenue growth, ChatGPT’s arrival forced an existential decision.
• Within two weeks of ChatGPT’s launch, Intercom bet the company on AI, scrapping its roadmap and product strategy.
• The launch of Fin—an AI customer service agent—was rapid (March 2023). Now, Fin delivers over 1 million resolutions weekly, with a 65%+ average resolution rate across 6,000+ customers.

  "We bet the entire company on AI...It was a risky thing to do. We ripped up our strategy, we ripped up our roadmap... We went very, very quickly from betting the company on AI to launching." (Intercom CPO, 02:29)

3. The True Depth of Transformation: “No Sacred Cows”

• Culture and process changes are non-negotiable; every aspect of the company must be reconsidered, from org structure to pricing to metrics.
• Most resistance is subtle: employees don’t say “no” directly, but instead stall, delay, or suggest “dipping toes” first.
• Restructuring often means amicable partings with a third of staff not aligned with the new direction.

  "Step one of this journey is you have to tell the company that it's happening and it's not a choice. You're changing the company, you're refounding the company, you're changing everything about the company, and it's not a choice." (Intercom CPO, 10:41)

4. Making Hard, Self-Harming Decisions and “Going Too Far”

• Incremental changes aren’t enough; you only know you’ve gone far enough when you’ve gone “too far.”
• The CPO describes blowing up entire departments and starting from scratch to create AI-native functions (e.g., marketing, design).
• Always ask: “What would a brand new startup incorporated today do here?”

  "The only way to know if you’ve gone far enough is to go too far. The only way to know where there’s a boundary is to cross the boundary." (Intercom CPO, 20:20)

5. Changing How Software is Built

• Legacy software development (customer feedback > solution design > UI/UX > CRUD development) no longer fits.
• AI-native development is experimental, fast, uncertain, empirical, and infrastructure-led.
• Evaluations, experimentation, and scientific rigor are crucial; the majority of engineering and design shifts from user-facing UX to invisible infrastructure.

  "There's an entirely new way to build software. You start by asking, what does AI even make possible?...You learn the most when it's live." (Intercom CPO, 31:03)

6. New Roles and Skills: Designers, PMs, Marketers, Engineers

• Designers now ship code to production; every Intercom designer does this.
• Engineering productivity has been doubled by requiring AI engineering as default—“It's happening, it's not negotiable.”
• Traditional lines blur: product marketing, content marketing, PMs and designers’ roles merge and change rapidly.

7. Rethinking Go-To-Market (GTM) in the AI Era

• Customers don’t know how to buy, evaluate, or fully trust AI products; ongoing education and advocacy are essential.
• Most AI demos are not indicative of real, scalable, production-grade products. Intercom won’t launch “demo-only” products.
• Differentiation moves from features and UI to infrastructure, model quality, scientific rigor, and large-scale performance data.
• The buying group has shifted—no longer just business leaders; now includes C-suite (AI transformation leads) and technical AI evaluators.

  “A demo isn’t a product. A demo isn’t a product that works at scale.” (Intercom CPO, 27:38)

8. The “Two Companies” Problem: SaaS vs. AI

• At scale, you may end up running two distinct businesses: SaaS (seats, predictable, feature-led) and AI (outcomes, unpredictable, infrastructure-led).
• The relationship between the classic SaaS product and the AI product is complex—sometimes even in competition.

9. Biggest Mistakes SaaS Companies Make in Adapting to AI

• Adding AI features rather than reimagining the product.
• Not making “self-harming” decisions to win (protecting legacy revenue at the expense of transformation).
• Delaying hard actions, diluting the vision, listening too much to both resistant employees and customers.
• Failing to have honest, soul-searching discussions at the leadership level.

  "If it doesn't feel really painful, you're not deep enough, you're not going for it enough." (Intercom CPO, 40:08)

Notable Quotes by Segment

• [00:11] “You need to ask yourself why you exist in a post AI world. Most SaaS companies sold seats...there's no seats in a post AI world... the company with the best outcome built on the best AI... is going to win.”
• [02:29] "We bet the entire company on AI. We ripped up our strategy, we ripped up our roadmap... If you’re a SaaS company who thinks you’re an AI company and you’ve not gone through brutal transformation, you’re not there yet."
• [10:41] "Step one... you have to tell the company that it’s happening and it’s not a choice."
• [20:20] "The only way to know if you’ve gone far enough is to go too far. The only way to know where there’s a boundary is to cross the boundary."
• [27:38] "A demo isn’t a product. A demo isn’t a product that works at scale."
• [31:03] "There’s an entirely new way to build software. You start by asking, what does AI even make possible?...You learn the most when it’s live."
• [40:08] "If it doesn’t feel really painful, you’re not deep enough, you’re not going for it enough.”

Key Timestamps for Important Segments

• 00:11 — Ripping up old SaaS processes for the AI era
• 02:29 — The trigger: ChatGPT's launch, Intercom's existential pivot and Fin’s emergence
• 10:41 — Culture change as a non-negotiable, and the myth of gradual transformation
• 20:20 — Going “too far” as the only way to know you’ve done enough
• 27:38 — The fallacy of AI demos and the marketing overhang
• 31:03 — From customer insight-led design to empirical, infrastructure-led development
• 40:08 — Mistakes to avoid: self-sabotage, comfort, and lack of honesty in transformation

Memorable Moments

• The CPO’s candid admission of deleting beloved, personally-designed processes and principles because they no longer fit ("It pained me. It still pains me looking at this. It pained me to do it... but it doesn’t matter.") [~33:00]
• Intercom’s radical approach to "learning by shipping"—every designer must now code, or it’s not the right place for them [~35:00]
• A clear warning: companies who don’t fully transform will "slide into irrelevance slowly but surely," lose talent, and eventually die. [~12:10]
• Describing classic SaaS as “stable” and “predictable,” and the new AI future as “chaotic, more ambiguous, and you have to throw stuff away sometimes and start again.” [~32:00]

Episode Takeaways

• Transforming to an AI company means blowing up everything—including your most cherished processes and teams.
• Everyone faces pain, existential uncertainty, and high risk; this is the cost of survival and future category leadership.
• Leaders must make bold, sometimes self-harming, decisions and force the company to embrace ambiguity.
• “Adding AI” is not enough. Only radical transformation and a true AI-native mindset will prevent irrelevance and failure in the new era.

For more insights and frameworks from Intercom’s journey: check out their Ideas Blog and Research Blog. Slides referenced by the CPO are available upon email request.