Lenny's PodcastHow Intercom rose from the ashes by betting everything on AI | Eoghan McCabe (founder and CEO)
Lenny Rachitsky and Eoghan McCabe on intercom’s brutal AI pivot: culture overhaul, soft coup, explosive growth.
In this episode of Lenny's Podcast, featuring Eoghan McCabe and Lenny Rachitsky, How Intercom rose from the ashes by betting everything on AI | Eoghan McCabe (founder and CEO) explores intercom’s brutal AI pivot: culture overhaul, soft coup, explosive growth Intercom founder and CEO Eoghan McCabe describes how a plateauing, bloated late‑stage SaaS company on the brink of negative growth was transformed into an AI‑first, agent‑based business centered on its AI customer service agent, Fin. Triggered by the launch of GPT‑3.5 and Intercom’s own stagnation, McCabe returned as a self‑described “wartime” founder, slashed costs, refocused the company on customer service, rewrote its values, and accepted massive cultural and personnel upheaval—including 40% turnover and a failed internal “soft coup.” Within weeks of GPT‑3.5, the team had a working Fin prototype; within a year Fin grew from $1M to $12M ARR and is now on track to surpass $100M ARR in under three quarters, with Intercom’s overall growth now in the top tier of public software peers. McCabe argues that AI will violently disrupt every software category, insists that companies must either fully commit or be displaced, and outlines how cultural rigor, founder‑led decision‑making, and beautifully simple, outcome‑based pricing underpinned Intercom’s reinvention.
At a glance
WHAT IT’S REALLY ABOUT
Intercom’s brutal AI pivot: culture overhaul, soft coup, explosive growth
- Intercom founder and CEO Eoghan McCabe describes how a plateauing, bloated late‑stage SaaS company on the brink of negative growth was transformed into an AI‑first, agent‑based business centered on its AI customer service agent, Fin. Triggered by the launch of GPT‑3.5 and Intercom’s own stagnation, McCabe returned as a self‑described “wartime” founder, slashed costs, refocused the company on customer service, rewrote its values, and accepted massive cultural and personnel upheaval—including 40% turnover and a failed internal “soft coup.” Within weeks of GPT‑3.5, the team had a working Fin prototype; within a year Fin grew from $1M to $12M ARR and is now on track to surpass $100M ARR in under three quarters, with Intercom’s overall growth now in the top tier of public software peers. McCabe argues that AI will violently disrupt every software category, insists that companies must either fully commit or be displaced, and outlines how cultural rigor, founder‑led decision‑making, and beautifully simple, outcome‑based pricing underpinned Intercom’s reinvention.
IDEAS WORTH REMEMBERING
5 ideasAI disruption is unavoidable; executives must either lead the change or be replaced.
McCabe stresses that AI is a foundational technology wave like the microprocessor or the internet—but more extreme—and will “disrupt in the most aggressive, violent ways.” Companies that treat AI as a side feature or slow experiment risk being displaced by AI‑native competitors working faster and harder.
True transformation often requires ‘founder mode’—clear, top‑down, and sometimes ruthless decisions.
Intercom was drifting with committee‑driven, democratic decision‑making and a diffused strategy; McCabe returned and unilaterally chose customer service as the focus, killed costly projects, massively cut spend, and committed close to $100M to AI, accepting personal accountability for the outcomes.
A cultural reboot with sharp, consequential values can realign a late‑stage company.
McCabe rewrote Intercom’s values to emphasize resilience, high standards, hard work, shareholder value, and customer obsession, then tied performance reviews directly to both results and behavioral alignment. Underperformers or value‑misaligned employees were let go, driving ~40% turnover but ultimately yielding a more entrepreneurial, high‑energy culture.
Outcome‑based, beautifully simple pricing can rebuild trust and unlock growth.
Intercom moved from complex, widely hated pricing to simpler, fairer structures—giving up around $50M ARR to do so—and for Fin adopted a clear per‑resolution model (e.g., $0.99 per ticket solved). Aligning revenue directly with customer outcomes improved retention, internal morale, and positioned them as customer‑centric.
Speed to prototype and real‑world deployment is a decisive advantage in AI.
Because Intercom already had an AI group and rich customer data, they shipped a Fin beta just six weeks after GPT‑3.5 launched and immediately tested it across their 30,000‑customer base. This fast iteration, even while initially losing money per resolution, let them refine Fin quickly and capture market leadership before the space got crowded.
WORDS WORTH SAVING
5 quotesYou don't have a choice. AI's gonna disrupt in the most aggressive, violent ways. If you're not in it, you're about to get kicked out of all of it.
— Eoghan McCabe
We were about to hit $0 net new ARR, which means we would have been in negative growth territory… I said, ‘We need to become a wartime company. If we don't fight for this, we are dead.’
— Eoghan McCabe
I rewrote the values designed to be a sharp knife to cut out the parts of the company that I just knew wouldn't be effective.
— Eoghan McCabe
The way that greatness is created is that you find a CEO who's willing to make brave, hard decisions and own the results.
— Eoghan McCabe
If someone is not prepared to pay 99 cents for us to rapidly and elegantly, perfectly and excellently solve their customer's problem, we need to wrap this up. We don't have a business here.
— Eoghan McCabe
QUESTIONS ANSWERED IN THIS EPISODE
5 questionsIf you’re running a successful but slowing SaaS business, how do you know when it’s time to risk the core and fully pivot to AI rather than iterating incrementally?
Intercom founder and CEO Eoghan McCabe describes how a plateauing, bloated late‑stage SaaS company on the brink of negative growth was transformed into an AI‑first, agent‑based business centered on its AI customer service agent, Fin. Triggered by the launch of GPT‑3.5 and Intercom’s own stagnation, McCabe returned as a self‑described “wartime” founder, slashed costs, refocused the company on customer service, rewrote its values, and accepted massive cultural and personnel upheaval—including 40% turnover and a failed internal “soft coup.” Within weeks of GPT‑3.5, the team had a working Fin prototype; within a year Fin grew from $1M to $12M ARR and is now on track to surpass $100M ARR in under three quarters, with Intercom’s overall growth now in the top tier of public software peers. McCabe argues that AI will violently disrupt every software category, insists that companies must either fully commit or be displaced, and outlines how cultural rigor, founder‑led decision‑making, and beautifully simple, outcome‑based pricing underpinned Intercom’s reinvention.
What specific leading indicators (cultural, financial, customer) should leaders monitor to judge whether a ‘wartime’ cultural reset is succeeding versus simply causing destructive churn?
How can non‑technical founders practically “get in the game” on AI without deep ML backgrounds, beyond just hiring a Chief AI Officer?
Where is the ethical line between aggressively automating ‘demeaning’ work and responsibly supporting employees whose roles are being made obsolete by agents?
For teams attempting outcome‑based AI pricing, how do you handle situations where the value is high but customers psychologically anchor on much lower willingness to pay for digital labor than for human labor?
EVERY SPOKEN WORD
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