Paul Adams
Chief Product Officer, Intercom · 1 appearance on the record.
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executiveoperatorauthor@Padday ↗LinkedIn ↗fin.ai ↗
Paul Adams leads product management, design, research, and data science at Intercom, spearheading its transition to an AI-first customer service platform. He previously held product design leadership roles at Google and Facebook, and authored the book Grouped.
21statements → 4claims → 1claims resolved → 4.14/5average certainty → 2.52/5average debate potential →
1 supported 0 partly supported 0 contradicted 3 not checkable as stated how the 4 claims stand · each chip opens the sources
4 assertions · 1 opinion · 12 insights · 4 disclosures · every statement was checked. The predictions and assertions are the 4 claims: statements the public record can support or contradict. 1 is resolved, and 3 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.
The record, in short
What the tape says about how Paul argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.
Everything Paul Adams said on the Official SaaStr Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →
Adams: Companies must part ways with a third of staff for AI
“Like a third of your company, you need to part ways with them. They're not fit for this new world. They don't want to build the same way you want to build. They don't like fast, crazy fast pace. They don't like chaos.”
Adams: Traditional seat-based SaaS and CRUD GUIs make no sense post-AI
“Most SaaS companies sold seats. These are seats that humans sit in. Those humans use some kind of GUI, some CRUD type tasks to achieve some outcome. None of these things make sense anymore, right? None of these things make sense. There's no seats in a post AI …”
Adams: Intercom mandated all product designers ship code or leave the company
“We said every designer is now shipping code to production. It is now part of your job. If you don't like that, We had a great run, but we should part ways and you should go somewhere where designers don't have to ship code.”
Adams: Employees needing constant convincing during AI pivots become liabilities
“Culture runs really deep. So you have to be wary of the people you need to keep convincing because they're going to be a liability.”
Adams: In AI products, building UI is easy while infrastructure is hard
“AI products don't look like this at all. It's actually the inverse. Building the UI is the easy part. That's the small part. The hard part is building great AI infrastructure, building products that actually truly work at scale.”
Adams: Intercom abandoned its long-standing SaaS product principles for AI
“We had these principles at Intercom that evolved over years and they made us really good at building SaaS product... But, these principles were designed for the SaaS era. They were designed to build a SaaS product. We had to abandon all this shit.”
Adams: AI Product Marketing Must Focus on Infrastructure, Not Features
“A lot of AI products do look the same. A lot of them are now AI agents. They all kind of look like some kind of chat interface. They all do different things, but they all kind of look the same. It's hard to tell them apart. Look at five competitors. They all k…”
Adams: Intercom's AI agent Fin is cannibalizing its legacy software usage
“Fin is totally different to Intercom. It's a completely different product. The two of them are like, they've almost nothing in common in some ways. It's a completely different product. I'm like, yes, Fin is, Fin usage is eating Intercom usage at times.”
Adams: Pre-AI SaaS companies must overhaul every aspect of their business
“If you have a SaaS company and it predates AI and it's not an AI native company, in other words, you started the company designing an organization for the AI world, you have to change
Everything.
Your org, your product, your roadmap, how you build, the metrics…”
Adams: Intercom's AI product Fin is close to $100M ARR
“You will grow to like a hundred million in AR or very quickly. Finn's on that path, very close to it.”
Adams: Multi-step AI workflows suffer from compounding error rates
“All of these things compound. If you're really, really good at each of these steps, really good, like here we're really good, very reliable. You still have to multiply all these together. And by the time you're finished the entire workflow, especially the work…”
Adams: AI products require live production experimentation to verify they work
“When you build AI products, you really, really don't know if they're going to work. You need to have them in production, experimentation, all the time, trying to find edges, trying to find improvements in performance.”
Adams: Non-Technical Buyers Cannot Accurately Evaluate AI Products
“Customers don't know how to evaluate AI products. They don't know how to run good evaluations.”
Adams: AI Deals No Longer Have a Single Functional Buyer
“There isn't a single buyer anymore. So for example, with Finn, we have, yes, the customer service leader, and they're still heavily, you know, heavily influential. They have a lot of clout, but they don't make the decision. And the reason is because there's tw…”
Adams: AI Transformation Requires Making Painful, Revenue-Harming Decisions
“You won't make self-harming decisions to win. You'll protect revenue. You don't want to piss off the board. You know, you don't want to piss off your sales leader. Like there's loads of reasons and loads of places where you won't say, do you know what? We're g…”
Adams: Intercom's Fin resolves over 1M queries weekly across 6,000+ customers
“If you fast forward to today, Finn has over a million resolutions a week. So every single week Finn is resolving over one million customer problems. We have over 6000 Finn customers. And Finn's average resolution rate is over 65%. So the resolution rate over t…”
Adams: True AI companies must build model, AI, and app layers
“If you're a truly a deep AI company, of course you have an AI layer, but you also have an app layer and a model layer.”
Adams: AI systems are easier to build when decomposing workflows discretely
“Getting AI and getting a rag system
to accurately do these things is easier when it's discrete. You can experiment much faster. You can solve bits of the problem independently and then kind of chain them together.”
Adams: Intercom experienced five quarters of declining revenue growth before ChatGPT
“We then had five quarters of declining revenue growth. So revenue is still growing, but the rate at which was growing was declining. And this was not a good period for the company. We had gone down the IPO journey.”
Adams: Intercom bet the company on AI two weeks after ChatGPT launched
“So we bet the entire company on AI. We bet the entire company. It was a risky thing to do. We ripped up our strategy. We ripped up our roadmap. We made these decisions in a very small number of days. Like you're talking once, two weeks after ChatGPT.”
Appearances (1)
| Episode | Date | Speaking time |
|---|---|---|
| Why Most SaaS Companies Will Fail at AI (And How to Avoid It) with Intercom's CPO | Jan 28, 2026 | 34m |