SaaStr 788: Going Multi-Product in the Age of AI with Webflow, Rubrik, Zoom, and ProductBoard

Date: January 17, 2025
Podcast: The Official SaaStr Podcast
Episode Theme: Exploring the challenges and strategies of scaling SaaS products in the AI era, with insights from leading product executives at Webflow, Rubrik, Zoom, and ProductBoard. The panel delves into how enterprise SaaS companies are disrupting themselves, embedding AI across portfolios, and what "multi-product" means in an age of accelerating technological disruption.

1. Episode Overview

This episode features a high-caliber panel moderated by Rachel Wolin (CPO, Webflow) with:

• Annika Gupta (CPO, Rubrik)
• Mahesh Ram (Head of AI Product, Zoom)
• Hubert Palan (CEO, ProductBoard)

They discuss how their companies are approaching multi-product strategies in SaaS, especially as AI reshapes workflows, customer expectations, and product value. Major themes include building versus buying AI capabilities, evolving product strategies, embedding AI in critical enterprise contexts, and future trends in SaaS and AI.

2. Key Discussion Points and Insights

A. AI Disrupting SaaS: Strategy and Value Proposition

• Hubert Palan (ProductBoard) emphasizes the risk of chasing every shiny new AI feature instead of focusing on sustainable, core value differentiators (03:29).

  • Quote: "The harder part to decide actually is to what is it that you should build? What AI you should build, what is the essential AI?...You need to be very thoughtful about, like, can you sustain a business around the AI capabilities you’re building versus just building something that is a feature but is a very difficult thing to sustain in the long term as a business?" (05:50)

• AI as foundational to product disruption: All panelists agree that AI isn’t just another enhancement but is fundamentally reshaping both what SaaS products do and how they're architected.

B. Building AI-First vs. Adding AI to Existing Products

• Mahesh Ram (Zoom):

  • New companies: "When you're thinking about building a company based on generative AI, I think you have fundamentally unique opportunities because you're not, you don't have to deal with legacy application, legacy code." (07:37)
  • Established companies: "At Zoom...we were doing virtual backgrounds, we were doing other things. So Eric's mandate to me was basically...make everybody at Zoom a generative AI thinker. And that required a mindset change." (08:44)
  • Advice for founders: Focus not on the AI, but on dramatically improving workflows ("If there are 19 steps to doing something...can you take them to 4 and save people time and money? That's what you should focus on.”) (08:03)

• User-centric principles: Both for newcomers and established companies, keep user workflow and tangible time-savings at the core.

C. Embedding and Trusting AI in Critical Environments

• Annika Gupta (Rubrik) shares the unique challenges of integrating AI into a security-first, risk-averse domain:
  • "AI for us is not a separate product. It's actually embedded in all of the products that we have...Some of them are around how do we enable our customer support team to provide a better customer experience and resolve tickets and issues faster?" (12:03)
  • The team developed "Ruby," an AI assistant for troubleshooting, but prioritizes user trust and avoiding destructive actions above novelty: "The biggest challenge...quality is super, super important. People are not going to want to take recommendations around security...from an AI agent unless they're confident." (13:20)
  • They meticulously designed workflows to ensure AI can surface insights without enabling errors or harmful outcomes.

D. AI as a New Interaction Paradigm, Not a Product

• Hubert Palan: Warns against confusing “AI-first” with “AI-only,” stressing the importance of building robust workflows and plugging AI into them, rather than relying on “AI magic.” (14:03).
• Annika Gupta: Rubrik treats AI as a foundational shift in product experience, not a siloed feature or standalone monetized offer.
  • "If you were to reimagine your product...what would a personalized workflow really look like? And how can I deliver value in a truly different way?" (14:35)
• Rachel Wolin: At Webflow, AI is another "developer superpower," not a bolt-on. (15:13)

E. Product Packaging & Monetization in the New AI Era

• Hubert Palan: Suggests that some AI offerings, like their upcoming Insights product, may deserve to be stand-alone products due to their scaling characteristics with user volume and value, not just seats. (15:46)
  • "You need to consider that when you’re thinking about — do I just put it into the product as a feature or do I launch it as a separate offering on its own?" (16:39)
• Rachel Wolin: Predicts we're moving past the phase of "AI equals efficiency" toward AI delivering differentiated customer value and new pricing strategies. (16:40)
• Mahesh Ram: Highlights the need to rethink packaging: solutions must reflect customer goals, not just compartmentalized tools. (17:06)
  • Example: "If the goal is to...ship a product in 60 days...there's going to be phone calls, chats, whiteboards, customer conversations. How do I keep that synthesized?...all that collective memory...can actually be harnessed by AI." (17:28)

F. Future Trends and What’s Not Obvious about AI

• AI will fundamentally disrupt enterprise SaaS (Annika Gupta):

  • "I truly think that it's going to fundamentally disrupt enterprise SaaS. I don't think that people will be content with...the way you consume and interact with applications today." (19:44)
  • Predicts a future where personalized workflows and automations supersede traditional SaaS architectures.

• Three Big AI Trends (Mahesh Ram):

  1. Local AI: Ability to run AI models on local devices for privacy, security, and efficiency — e.g., summarizing sensitive emails without cloud exposure (20:34)
  2. Personal AI assistants: Explosion of tailored agents for both work and personal life; need to unify the “consumer” and “work” AIs (21:12)
  3. Digital avatars: Autonomous representation of oneself for scheduling, coordination, and more (21:40)

• Risks of the AI divide (Hubert Palan):

  • Raises concern about the societal gap that AI advancement may create: "What is gonna be the impact on even my ability to talk to my grandparents about what's happening in the...world is already limited." (22:43)
  • Calls for industry responsibility to avoid exacerbating knowledge gaps.

3. Notable Quotes & Memorable Moments

• Hubert Palan:
  • "Don't confuse AI-first with AI-only. That’s a big, big danger." (14:03)
• Mahesh Ram:
  • "If there are 19 steps to doing something in the world today and you as a founder can use AI to take 19 and take them into 4 and save people time and money, that's what you should focus on." (07:54)
  • "I always think to myself, I don't get up in the morning and think, oh, my biggest initiative today is to have a meeting...all of these things are towards a larger objective." (17:06)
  • "Local AI is going to change fundamentally how we work with AI...think of security. Maybe I just want to summarize all my emails, but I don't want to send it to the cloud." (20:34)
  • "All the founders in the room...stay persistent, stay in it. I'm telling you, like this is hard, but...there'll be some big winners in this room." (23:30)
• Annika Gupta:
  • "Quality is super, super important. People are not going to want to take recommendations around security...from an AI agent unless they're confident." (13:20)
  • "I truly think that it's going to fundamentally disrupt enterprise SaaS..." (19:44)

4. Timestamps for Important Segments

• 00:12 — Annika Gupta on the inevitability of AI disruption in enterprise SaaS
• 03:29 — Hubert Palan discusses product strategy and AI decision-making
• 06:22 — Mahesh Ram’s background and launching AI at Zoom
• 07:32 — AI-first vs. AI-powered product building (Mahesh Ram)
• 11:07 — Annika Gupta on embedding AI into critical, conservative domains
• 12:03 — Use of “Ruby,” Rubrik’s AI assistant, and trust considerations
• 14:03 — Dangers of “AI-first” vs. “AI-only” (Hubert Palan)
• 15:46 — Packaging and pricing AI-powered products
• 17:06 — Shifting the product frame to solving customer objectives, not just features (Zoom)
• 19:44 — “What’s not obvious about AI?”: Future disruptions, local AI, avatars, and risks
• 22:43 — Societal impacts and responsibilities in rapid AI advancement
• 23:30 — Encouragement to founders facing tough conditions

5. Conclusion

The panel delivers a masterclass in pragmatic AI adoption for SaaS: advising startups to define their defensible core, established companies to prioritize user-centric workflow transformation over technological fads, and everyone to anticipate—and shape—the looming realignment of enterprise software. They stress the need for trust, the importance of responsible innovation, and the imperative to use AI as a means for real customer impact, not mere feature proliferation.

If you’re building SaaS in the age of AI, this episode is an essential listen.