Assembled

This is a special one for us, and for support teams everywhere. Today, we’re launching Assist Omnichannel AI Agent, which brings seamless automation to chat, voice, and email — all in one platform. We’re certain this is the best AI agent for support teams out there. No other AI agent on the market can handle the level of complexity that Assist can, alongside and in place of your human agents. Smarter automation, seamless handoffs, and speedy resolution. You can only find that with Assembled. Read more here: https://lnkd.in/gnNnQjcS

AI support tools don’t follow a standard pricing model — some charge per interaction, others by resolution, and some bundle features in ways that aren’t always transparent. That makes it easy to end up paying more than you expected or for functionality you don’t actually need. Before signing on the dotted line, it’s worth digging into the details: 👉 What exactly are you being charged for — users, interactions, resolutions, or something else? 👉 How does pricing scale as your support volume grows? 👉 Are there hidden costs, like fees for additional training data or integrations? AI can be a game-changer for support teams, but only if the pricing model works for you. Otherwise, you risk unexpected costs that don’t align with the value you’re getting. Here’s how to ask the right questions before committing.

Last chance to register! Tomorrow, Olivia Teich, Assembled’s Head of Product, is breaking down what’s next for support teams in 2025 — and you don’t want to miss it. We’ll be diving into: 🔹 How to scale support without losing quality 🤖 Where AI actually fits into the customer experience 📊 Smarter workforce management strategies for hybrid teams If you lead a support team (or just want to stay ahead of the curve), this one’s for you. Sign up now: https://lnkd.in/gynUMnT6

What happens when you put 250+ ambitious founders, builders, and investors in a room? You get the biggest Founders You Should Know event yet — and an incredible conversation about the future of AI. Assembled Co-founder and CTO John Wang took the stage this week to share how we’re building the AI-powered operating system for support teams, alongside some of the most exciting voices in AI today. If you're an engineer excited to tackle real-world AI challenges, we want to meet you. Check out our open roles: https://lnkd.in/gMRzFVDC 

Knowledge bases aren’t just for human agents anymore — they’re now the foundation for AI-powered support, too. Most support teams have a KB that’s grown over time — outdated articles, inconsistent formatting, and gaps in documentation can make it hard for both humans and AI to find the right information. AI thrives on structure, which means a well-organized, regularly updated knowledge base makes a world of difference. So, how do you optimize your KB for AI? Start with these questions: 👉 Are your articles clearly written and formatted? 👉 Is your information structured in a way AI can parse? 👉 Do you have a regular maintenance process? If AI-generated responses aren’t quite hitting the mark, your KB might need a tune-up. Here’s how to fix it.

What’s next for support ops in 2025? Let’s talk about it. Customer expectations are evolving. AI is changing the game. And hybrid teams — mixing in-house, outsourced, and AI agents — are the new normal. So how do support leaders keep up without overloading their teams? Join Assembled’s Head of Product, Olivia Teich, to unpack insights from our State of Support Ops in 2025 report. In this webinar, we’ll cover: ✅ How to scale support without sacrificing quality ✅ The evolving role of AI in customer service ✅ Workforce management strategies for 2025 and beyond Can’t make it live? No worries — all registrants get the report and a recording. But we’d love to have you join the conversation! Register now: https://lnkd.in/gJ23WMhM

We get a lot of questions like, "What should our adherence be?" and, "How are teams like mine doing when it comes to SLA?" Well, today we have answers. Using aggregated and anonymized performance data from our customers, we created a report with industry-specific benchmarks you can use to uncover inefficiencies, highlight wins, and build a stronger case for the resources your team needs. Ready to see how your team stacks up? Download the report to find out!

Assembled Co-founder and CTO John Wang will be presenting at the first Founders You Should Know startup showcase of 2025! Want to hear how Assembled is elevating customer support operations through innovative applications of AI? We dropped a link in the comments with more details on how to apply to attend the event on Feb. 5.

Announcing our fantastic lineup of breakout founders for our first startup showcase of the year! 🎉 On February 5th in SF, we’ll be joined by: Shiva Suri, founder of New Lantern Adam Guild, founder of Owner.com Brian Ichter, founder of Physical Intelligence Will Yin, founder of Mandolin Arjun Prakash, founder of Distyl AI Matt Noe, founder of Eve John Wang, founder of Assembled Gorkem Yurtseven, founder of fal Minn Kim, founder of Lighthouse HQ Brooke Hopkins, founder of Coval (YC S24) Doug Safreno, founder of Gentrace A huge thank you to Natalie Arora, Alison Youngblood, and their team at Kindred Ventures for sponsoring this event, and John Morrison + friends at Amazon Web Services (AWS) for sharing their GenAI Loft with us. Shoutout to our fantastic FYSK community members who nominated these founders Evan Conrad Brittany Walker Charlie Curnin Hersh Desai Jared Rosner Lachy Groom Olivia Teich Natalie Arora Jerry Liu Dennis Xu Want to meet these breakout founders? Apply now (link in comments) to our showcase and to join our FYSK community.

Reimagine customer support in 2025 — and do it better! Join us on January 22 at 10:00 am PT / 1:00 pm ET for a bold look at the future of support. In this 45-minute webinar, we’re unpacking insights from Assembled’s 2025 benchmark report to help you stay ahead of growing complexities and deliver the support your customers deserve. Here’s what’s in store: ✅ Key trends shaping the future of customer support. ✅ Surprising inefficiencies revealed by channel performance data. ✅ How the best teams are scaling quality — not just quantity — with confidence.  🔗 Save your spot here: https://lnkd.in/g7mFRyzu