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SaaStr 836: The Step-By-Step Playbook for Building AI-Powered GTM Teams with Personio's CRO
SaaStr 836: The Step-By-Step Playbook for Building AI-Powered GTM Teams with Personio's CRO Philip Lacor, CRO of Personio, shares his company's journey to building an AI-powered go-to-market motion, including 5 critical...
About This Episode
SaaStr 836: The Step-By-Step Playbook for Building AI-Powered GTM Teams with Personio's CRO is an episode from The Official Saastr Podcast: SaaS | Founders | Investors by SaaStr. SaaStr 836: The Step-By-Step Playbook for Building AI-Powered...
This episode belongs to The Official Saastr Podcast: SaaS | Founders | Investors.
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Published Jan 7, 2026, 52:54 long, audio available.
Questions About This Episode
What is SaaStr 836: The Step-By-Step Playbook for Building AI-Powered GTM Teams with Personio's CRO about?
SaaStr 836: The Step-By-Step Playbook for Building AI-Powered GTM Teams with Personio's CRO Philip Lacor, CRO of Personio, shares his company's journey to building an AI-powered go-to-market motion, including 5 critical lessons learned and 4 real-world use cases delivering measurable results. In this podcast, Philip breaks down: ✅ The 5 lessons for AI transformation: top-down + bottom-up motion, cross-functional teams, prioritization frameworks, building AI culture, and combining great stack with context ✅ How to build AI-powered workflows that actually work (not just more tools to test) ✅ Real use cases: Win/loss analysis, expansion SDR assistants, intent scoring, and AI chat ✅ Why their expansion SDRs went from 2 hours of research per day to 15 minutes while doubling pipeline per rep ✅ The truth about AI ROI: where it shows up and how long it takes ✅ How to get your team excited about AI (not scared of it) Philip doesn't hold back on what's working, what's failed, and what questions they still haven't answered. If you're a CRO, founder, or GTM leader trying to figure out how to actually implement AI beyond the hype, this is the playbook. --------------------- This episode is Sponsored in part by HappyFox: Imagine having AI agents for every support task — one that triages tickets, another that catches duplicates, one that spots churn risks. That'd be pretty amazing, right? HappyFox just made it real with Autopilot. These pre-built AI agents deploy in about 60 seconds and run for as low as 2 cents per successful action. All of it sits inside the HappyFox omnichannel, AI-first support stack — Chatbot, Copilot, and Autopilot working as one. Check them out at happyfox.com/saastr --------------------- Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area , aka the SaaStr Annual, will be back in May 2026. With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year. But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait. Lock in your spot today by going to podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there. --------------------- More from SaaStr: 📺
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SaaStr 836: The Step-By-Step Playbook for Building AI-Powered GTM Teams with Personio's CRO is an episode from The Official Saastr Podcast: SaaS | Founders | Investors by SaaStr.
How long is this episode?
This episode is 52:54 long.
When was this episode published?
This episode was published on Jan 7, 2026.
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Where can I listen to SaaStr 836: The Step-By-Step Playbook for Building AI-Powered GTM Teams with Personio's CRO?
You can listen to SaaStr 836: The Step-By-Step Playbook for Building AI-Powered GTM Teams with Personio's CRO on this page when the episode audio is available from the podcast feed.
Which podcast is this episode from?
SaaStr 836: The Step-By-Step Playbook for Building AI-Powered GTM Teams with Personio's CRO is from The Official Saastr Podcast: SaaS | Founders | Investors by SaaStr.
What are the episode details?
Published Jan 7, 2026 and 52:54 long





