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…
Email is one of the most common support channels. It's also one of the hardest to get right with AI.
Unlike chat, email is much less predictable. Spam, auto-replies, and CCs need to be handled. Customers expect long, professional, exhaustive responses. PDFs need to be read and
A lesson from the real world: sometimes it’s better to just rebuild from the ground up.
When Claudia Byers, Senior Operations Strategy Manager at Raylo, started deploying Fin, they quickly realized there were gaps in their help content and parts of their help center needed to be
Last week in Paris, we brought together the Fin and @MistralAI teams for an evening of candid conversation on one of the most underrated topics in AI: evaluation.
@PedroTabacof, Principal AI Scientist at Fin, and Henry Lagarde, Software Engineer at Mistral, walked a room full of
@Agorapulse set a target of 10% resolution rate for their first year with Fin. Within the first week, they hit 40%.
"It kind of shocked us, to be honest," says Ineke Oates, Head of Customer Service at Agorapulse. And the results didn't stop there. Since that January launch,
For many ecommerce brands, customer support is seen as a cost center, but for Ninja Transfers, it became a revenue driver. By integrating Fin with Shopify, the team extended it beyond support and into the buying journey itself.
Now, one in ten conversations with Fin ends in an
How do you deliver a perfect customer experience that delivers human connection at AI scale?
That was the question Paul Adams, our Chief Product Officer, brought to a packed audience at CCW Las Vegas last week, alongside Natalie Hurst, Senior Director of Customer Success at
In our last career roundtable, Alannah Carroll from @GammaApp put it simply:
When you’re building a new AI role, there often isn’t an answer you can Google.
You talk to others doing the work, try things, and figure it out.
You can rewatch the last roundtable or join the next
Where does your organization sit on the AI maturity curve?
Are you a traditionalist, not quite ready to make the move? Or an AI pioneer, with your entire organization rearchitected around AI?
Most teams we talk to are sitting somewhere between the two. They've gotten started,
Shannon Magiera runs support at Kalshi with a team of eight. In 2024, they handled 30,000 tickets. In 2025, 115,000. This year, they're projecting over a million tickets.
When response times hit three, four, even five days, there simply wasn't time to help people the way they