Fin

If you’d like to join a future Fin meetup, subscribe to our Luma calendar to see what’s next. lu.ma/fin

You can watch the full panel discussion from the meetup here: youtu.be/x4gw-LxNk5s

"Being able to operate at the speed of thought is what I'm most excited about." At our recent Fin x @cartesia meetup in San Francisco, we asked attendees and speakers what’s exciting them most right now. This idea shone through from both our speakers onstage and the attendees in the room. It's clear: the pace of progress is compounding. What felt slow or experimental just months ago is now fast, usable, and closer to real-world deployment. From lowering the barrier to accessing technology to enabling more natural, real-time interactions, Voice AI is quickly moving from demo to default, and reshaping how people interact with software in the process. Take a look below and hear it in their own words.

Hiring someone new always comes with a question: will they actually do great work? With Agents, that same “black box” problem applies. Teams want more visibility & control over what their Agents are actually doing and how well they're doing it. On March 24th, we’re unveiling new updates to @Fin_ai that deliver just that. Join us live in Paris or online from anywhere. Register at the link in the comments.

Register to attend here: luma.com/Fin-Labs-Paris…

What does it take to build an AI-native company in 2026? Next week in Paris, we’re opening the doors to Fin Labs for a full day with some of the city’s most ambitious founders for co-working and honest conversations about building with AI today. Plus, live demos showing what AI agents can actually do in production. On stage and in the room: ↳ Jordan Neill, COO, Fin ↳ Jean-Yves Poilleux, CTO & Co-founder, folk ↳ Louis Coppey, Partner, Point Nine Capital ↳ Andrew F., Solutions Engineer, Fin ↳ Faateh Dhillon, GTM, Dust ↳ Julien Frèche, Scaling Revenue folk Come to build, share what you’re working on, and connect with founders and investors shaping what’s next. Seats are limited, RSVP via Luma below 👇

Fin meetups are designed to help you stay up-to-speed with the latest AI best practices, and to connect with like-minded leaders and AI experts. Subscribe to our Luma calendar and join a future meetup in a city near you! lu.ma/fin

We recently partnered with incident.io in London to dig into a topic every team eventually faces: incident response. The conversation, led by Declan Ivory (Fin), Lawrence Jones (@incident_io), and Eric Fitzgerald (Fin), focused on what actually separates high-performing teams when things go wrong. One key theme was that incidents are operational challenges, but they’re also trust-defining moments. Your customers won't remember the outage as much as they'll remember how you showed up. From declaring incidents early to using AI to take some of the pressure off in the moment, the discussion revolved around the idea that great incident response comes down to clarity, coordination, and consistent communication. If you’d like to join a future Fin meetup in your city, subscribe to our Luma calendar 👇

We had Brian react to some of our most requested product features. Some have already shipped. One is coming soon. Join us on March 24th to see what’s launching, live in Paris or online from anywhere. Register at the link in the replies.

Fin meetups are designed to help you stay up-to-speed with the latest AI best practices, and to connect with like-minded leaders and AI experts. Subscribe to our Luma calendar and join a future meetup in a city near you! lu.ma/fin

Last week in San Francisco, we partnered with Snowflake for a candid conversation on what it really takes to deploy agentic AI in the enterprise. Onstage, Jordan Neill (COO, @intercom) and Baris Gultekin (VP of AI, @Snowflake) compared notes on moving from impressive demos to production systems that actually work reliably, securely, and at scale. One theme came up again and again: the iceberg. It’s easy to “vibe code” a prototype in a week. It’s much harder to build the semantic layers, eval systems, guardrails, and feedback loops that make an agent trustworthy in the real world. They also dug into: ↳ Why evals are necessary but never enough without real-world signal ↳ How Snowflake brings AI to the data (not data to the AI) ↳ What it takes to make multi-step workflows (like refunds) actually reliable ↳ Why enterprise adoption is more about habit change than model capability Thank you to Baris and the Snowflake team for the partnership, and to everyone who packed the room, asked thoughtful questions, and stayed late to continue the discussion. If you’d like to join a future Fin meetup in your city, subscribe to our Luma calendar to see what’s next.

Your customers won’t trust a voice AI Agent that mispronounces product names, sounds off-brand, or gets thrown off by background noise. In this demo, Brian and Alihan walk through three Fin Voice upgrades: pronunciation rules, 11 new natural voices, and improved background noise handling. Pronunciation rules let you control how Fin says brand names, product names, and industry terms. You can also choose from 11 voices to better match the tone of your brand. And because customers call from everywhere, Fin now automatically reduces background noise so conversations stay smooth and natural. Watch the full product updates video at the link in the replies.

Setting @Fin_ai up as a personalized shopping assistant on @Shopify now takes under two minutes. In this demo, Brian and Robert walk through the new setup experience. Just authenticate your store, connect Fin to your full product catalog, then turn on the Messenger. No code, no manual uploads, and no digging through settings. Once connected, Fin has a live link to your store. It can recommend products, personalize suggestions based on what it knows about the customer, add items to cart, and even promote active sales. All in real time. Watch the full product updates video in the replies below.

Watch the full meetup here: youtu.be/7XBjliUOATQ

Fin meetups are designed to help you stay up-to-speed with the latest AI best practices, and to connect with like-minded leaders and AI experts. Subscribe to our Luma calendar and join a future meetup in a city near you! lu.ma/fin

"The companies customers trust most aren't the ones that never fail. They're the ones that respond well when they do." That framing opened our recent Fin × @incident_io meetup in London. Declan Ivory (VP of Customer Support at Intercom, building Fin) and Lawrence Jones (Founding Engineer at incident.io) explored what excellent incident leadership actually looks like—from the moment something breaks to the post-mortem that rebuilds trust. A few themes stood out from the conversation: 𝗗𝗲𝗰𝗹𝗮𝗿𝗲 𝗲𝗮𝗿𝗹𝘆, 𝗱𝗲𝗰𝗹𝗮𝗿𝗲 𝗼𝗳𝘁𝗲𝗻. Most teams don't declare incidents frequently enough—and the incentives behind that are harmful. Low-friction declaration builds the muscle you need for serious incidents. The question isn't whether to start an incident that turns out not to be one. It's whether you can afford not to. 𝗔𝗜 𝗿𝗲𝗱𝘂𝗰𝗲𝘀 𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗹𝗼𝗮𝗱, 𝗻𝗼𝘁 𝗵𝗲𝗮𝗱𝗰𝗼𝘂𝗻𝘁. The biggest opportunity for AI in incident response is absorbing the coordination overhead—summarizing root cause, tracking remediation, handling the customer surge—so humans can think clearly when the judgment calls matter most. Watch the highlights below, and follow the link below to watch the full discussion.

Watch the full discussion here: youtu.be/x4gw-LxNk5s

Voice AI has crossed the uncanny valley, and now the real work begins. At our recent Fin × @cartesia meetup in San Francisco, Peter Bar (leading Voice AI at @intercom, building Fin Voice) and Iz Shalom (Head of Product at Cartesia) unpacked what it actually takes to scale voice agents from prototypes to millions of real customer calls. A few moments from the conversation stood out: → 𝗪𝗲’𝘃𝗲 𝗵𝗶𝘁 𝗮𝗻 𝗶𝗻𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗽𝗼𝗶𝗻𝘁: “The beautiful thing with an exponential curve is no matter where you are, it’s still exponential.” Voice quality has steadily improved for two years, and we’re still early. Customers are no longer immediately demanding a human. They’re engaging. → 𝗬𝗼𝘂’𝗿𝗲 𝗷𝘂𝗱𝗴𝗲𝗱 𝗯𝘆 𝘆𝗼𝘂𝗿 𝘄𝗼𝗿𝘀𝘁 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: In creative AI, you’re evaluated on your best output. In voice agents, you’re evaluated on the one awkward pause, the strange whisper, the off answer. Reliability under pressure is what makes or breaks production systems. → 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗶𝘀 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝗹𝗮𝘁𝗲𝗻𝗰𝘆: Early focus was naturalness and speed. Then customers asked the harder question: how does this integrate into my workflows? Voice AI has to solve real problems, hand off cleanly, and fit into existing operations, not just sound good in a demo. Watch the highlights in the video below. And if you want to watch the full discussion, the complete meetup recording is linked in the replies 👇

Customers call from cars, airports, restaurants, but now background noise doesn’t need to disrupt your customer conversations. Brian shares how background noise cancellation in Fin Voice helps customer conversations flow more smoothly and allows your AI Agent to solve queries more efficiently. Watch the full video of what’s new with @Fin_ai, at the link in the replies.

Navigating healthcare can feel complex, painful, and overwhelming for patients. Every interaction involves sensitive information and must be handled with care, empathy, and strict compliance. Circle Medical brought in @Fin_ai, Intercom’s AI Agent, to help patients reach the right care teams faster (cutting resolution time by 58%) and in a secure, compliant way. Hear from Aurélia Dagan, Head of Patient Experience, on how they made the shift ↓