Siena AI

From our first support agent to a full agentic platform, it’s been a wild journey. We’re building something special and we just got a top CX tech nomination. If you agree, send us a vote! https://lnkd.in/exRWXUfv

during the Shopify outage yesterday... a lot of human teams weren't easily able to cancel orders, change shipping addresses, or make other time-sensitive order edits. Siena was still making those changes while having their backs! human + AI = ❤️ lfg!!!

"Siena was our only working agent with Shopify." Here's the unexpected benefit of running an AI-first CX operation. Yesterday, Shopify's admin went down for hours on Cyber Monday. CX teams across the world were locked out. Couldn't cancel orders. Couldn't change shipping addresses. Couldn't do anything but watch tickets pile up. Then we started hearing from customers: Siena is still resolving issues like nothing happened. AI agents don't have to log into dashboards. They talk directly to APIs. When the admin goes down, they don't even notice. We didn't design for this. But watching our customers get through BFCM with zero downtime in their CX ops while everyone else scrambled was a good reminder of why we're building this.

we're hiring our next enterprise AE in NYC to work in office with us and drive AI transformations for the world's best ecommerce brands. hunger and energy matter more than years of experience, dm me. 🚀🌕 jd comments.

Finally got our little token of appreciation from OpenAI. 🫶 I remember the first time we called OpenAI API in 2022. The model hallucinated, the latency was brutal, and we had no idea if any of this would actually work for real customer service. Now we're here. Handling millions of customer conversations for some of the best brands in the world. This one's for the team. For the customers who trusted us when this technology was still unproven. For the partners who helped us push what's possible. Grateful to work on something that matters with people who care about getting it right. I'm so stoked for what we've built, but even more for what's coming next.

This one belongs to our customers. Siena joins the 100 billion token club. We've officially crossed 100 billion tokens processed with OpenAI, joining approximately 140 companies worldwide who've reached this milestone. Every one of those 100 billion tokens represents a real customer conversation you trusted us to handle. Product questions during launches. Order issues on BFCM. Returns during peak season. Complaints that needed resolving immediately. You don't reach 100 billion tokens in customer service through experimentation. You get there because brands trust you with their most important asset: their customers. We're one of the few putting AI directly on the front lines of customer service. Hundreds of thousands of live conversations every day. Real-time. Zero margin for error. To our customers - thank you for believing AI could handle your most demanding work. Thank you for pushing us to be better. This milestone is yours as much as ours. It's still day 1. ❤️

we recently hit 100 billion tokens with OpenAI! 🥳🥳🥳 around 140 companies globally have crossed the 100 billion token threshold with OpenAI. Siena AI is one of them. OpenAI created this award to recognize companies using AI as core infrastructure, not just for experiments. when you process 100 billion tokens, you're running AI in production at scale. you're solving real problems for real customers, day in and day out. what makes Siena different in this group is what we're actually doing with those tokens. most companies in the 100 billion club are using AI internally - consultancies optimizing their own workflows, tech companies building tools for developers, enterprises automating back-office tasks. we're putting AI directly in front of customers. every single day, Siena agents handle hundreds of thousands of customer conversations for brands during their highest-stakes moments - product questions, order issues, returns, complaints. the margin for error is zero. the expectations are sky-high. and it all happens in real-time. that's a different game entirely. you can't fake your way to 100 billion tokens in customer experience. you get there by earning trust. one conversation, one brand, one customer at a time. by handling BFCM rushes without breaking. by resolving complex issues that would normally need three human handoffs. by actually increasing efficiency and reducing costs while improving customer satisfaction. the token count is just a milestone. what matters is what it represents: we've built AI that works in the messiest, highest-pressure environment there is. and we're just getting started!!! stay tuned. PS: so freaking proud of our team and customers!

two years ago, Sara C. and the MUD\WTR team took a bet on Siena AI when we were just getting started. last week at AI lab, she shared something that stuck with me: Siena got so good at their brand voice that she trained her human team to sound like the AI so everyone stays consistent. that's wild. and it's the opposite of how most companies think about AI in customer experience. we spent the roundtable digging into how MUD/WTR actually became AI-forward. what it looks like day-to-day when your CEO backs experimentation, when you're testing new automations every week, when you're handling sensitive health questions and allergen inquiries with AI. Sara talked about their process: set new automations to internal notes first, watch how they perform, then push them live when they're ready. they prioritize what to automate based on what frees up their team to focus on the complex stuff. they expanded from US to UK. they're prepping for holiday 2025 completely differently than last year. their team's work changed - less repetitive tickets, more strategic thinking. the thing that makes them different isn't that they use AI. it's that they treat AI as part of their team. they trained Siena to be casually on-brand, emoji-heavy, authentically MUD/WTR. they use content moderation strategically. they move fast but they don't compromise on quality. Sara's advice for CX leaders facing internal resistance: you need buy-in from the top, and you need a team that embraces testing over perfection. two years in, they are living proof of what's possible when you actually commit to being AI-forward instead of just talking about it. massive kudos! let's go!

my daily founder AI tech stack ✌️ hard to live without at this point Spotify ChatGPT Claude Perplexity Gamma Figma Siena AI OpusClip Notion apple notes Superhuman Mail Wispr Flow Granola gemini Cursor