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Big news: Fin is joining @salesforce.
We built the #1 AI Customer Agent, and Salesforce has the reach to help us bring it to the world.
Read more from our CEO @eoghan here: linkedin.com/posts/eoghanmc…
Fin
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Fin
@fin_ai
Fin is the Customer Agent company delivering perfect customer experiences.
- Like most things, deploying AI successfully takes a plan. That's why we created the AI Agent Blueprint: a guide to not just launching an AI Agent, but scaling it. Because launching is the easy part. Scaling is where most teams stall. Stalled AI looks like: - No clear owner, no
00:00 - The Fin R&D team hit their 2x engineering productivity goal three months early. In a recent live session, @darraghcurran, @brian_scanlan, Kesha Mykhailov, and special guest @clairevo walked through how Fin's 500-person R&D org got there, covering the metrics, the bottlenecks,
00:00 - Looking back on Fin Labs New York and we couldn't have asked for a better week. Thank you to everyone who joined us, whether you were in the room for every session or stopped by for the demos and conversations in between, you made it what it was. The week featured sessions on:
00:00And a huge thank you to our incredible speakers and guests who made Fin Labs New York what it was: Paul Adams, Brian Donohue, Emmet Connolly, Robert Davitt, Sid Suri, Declan Ivory, Dee Kapila, Rati Zrirawa, Rigby Crawford, Santiago Luque Suescan, Kyle Poyar, Shannon Magiera from - What does two years of building with Fin actually look like in practice? At Fin Labs in Paris, Claudia Byers from @raylo shared the answer: AI automation rate up from 17% to 40% in a single year, operational efficiency doubled, and CSAT through the roof. But what stands out in
00:00 - The token-maxxing era is coming to a close. The ROI-maxxing era is just beginning. That was Kyle Poyar's read on where AI pricing is heading, and it cuts right to the heart of a decision most companies haven't fully reckoned with yet. Token-based pricing felt like an easy move.
00:00 - Everyone assumes AI will make support feel more robotic. @Kalshi found the opposite. At Fin Labs New York, Shannon Magiera sat down with Declan Ivory to talk about what actually happened when they deployed Fin. Customers were shocked by how natural the conversations felt. Fin
00:00 - The line between support and success is blurring. And that's actually a good thing. At our recent Fin x Clay event at Fin Labs New York, George Dilthey laid out what's changing: as AI handles the routine, the work that's left for humans becomes more strategic and engaging and
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