Paid

🔥 Shipped last week: Flexible pricing for AI agents that won't make you cry! Have you had to build your own custom pricing/billing handling? We've been there. We know homegrown it can become spaghetti 🍝. That's why we're launching mix-and-match pricing for your agent with Paid, combine as many or as few as you want We now support * One-time fees * Platform fees * Activity pricing (based on signals!) * Outcome pricing (based on signals too!) and a few more coming very soon 👀 You can charge for EXACTLY what creates value - whether it's when your agent drafts an email, books a meeting, or processes a document. No more "we can't bill for that" conversations. Each action is tracked, measurable, and monetizable. What custom pricing have you had to implement? Drop it in the comments below.

personalization at scale = laziness at scale? this is what Anshul Gupta from Actively AI dropped on our podcast and it hit HARD what's happening in your inbox right now? - "congrats on your funding! btw want some debt financing?" - "saw you visited our site, here's our demo link!" this is NOT personalization! it's thin-logic automation pretending to be human the problem? those signal platforms are just triggering sequences based on basic events: funding announcement = trigger sequence A website visit = trigger sequence B job posting = trigger sequence C Anshul got it right: this approach is DEAD what's working instead? the best humans go DEEP: 1- actual research on the business and challenges 2- conversations with team members 3- hypothesis based on real signals (not just events) the truly innovative teams aren't doing "personalization at scale" they're doing RELEVANCE at scale - and they can command premium pricing for that that's the difference between "hey {first_name}" and actually understanding what keeps you up at night are you still doing personalization? or have you evolved to relevance (and outcomes)? check out the full convo with Anshul in our podcast Agent Talk wherever you listen to podcasts

Next week, we're sitting down with leaders from all over the industry to talk about the massive transformation we've seen as digital labor becomes a reality. AI SDR Summit is the only event bringing leading industry visionaries together for a packed agenda, including Manny Medina (Co-founder & CEO at Paid) who will join our Founder & CEO Kraig Swensrud for a conversation around pricing AI agents in this new era. Join us on Tuesday, April 15th from 10am - 1pm PT. Register now: https://lnkd.in/gxAzqt4F

our biggest limiters are our own beliefs the stories we tell ourselves define us every big company began with a big unreasonable idea. it's never too early to think big! your turn take your idea and make it bigger Nasdaq you made our day here at Paid

On a day where the trend is up? Couldn't have asked for better timing 📈 Thanks for the callout Nasdaq 🗼 ❤️ Get Paid for your AI Agents. Check out our website to learn more

first-to-market with outcome-based AI SDR packages with Paid! that's not just innovation - that's category creation, the Artisan Way 🚀 how Artisan is changing the game: 1- created controversy with "Stop Hiring Humans" (genius marketing) 2- pivoted to outcome-based packages with Paid (what customers actually care about) 3- proved the model works (just secured $25M Series A) this is the playbook for category creation: - spark attention - deliver measurable outcomes - scale with proof while everyone else is busy debating AI vs humans, Jaspar Carmichael-Jack is busy cooking! Proud to see their success What's YOUR outcome-based metric?

BIG congrats to our early partner and customer Artisan! 🚀🦄 We're so relieved to see Jaspar didn't really resign and get replaced by an agent 😮💨

Everyone seems to be talking about AI agents. The biggest problem not enough people are talking about: how to monetize & capture the value of them. Manny Medina, the founder of Outreach (last valued at $4.4B), just took his new startup (called Paid) out of stealth — and announced €10M in pre-seed funding — to tackle this very problem. After analyzing patterns from 60+ AI agent companies, Manny has put together a new framework for AI agent pricing. It's 🔥 — and here's the TL;DR. There are 4 AI agent pricing models dominating the market. Many companies are using just 1 of the 4; others take a hybrid approach. 1️⃣ Price per agent, aka the FTE replacement model See: 11x, Harvey, Vivun Why folks like it: You get to draw from the headcount budget which is at least 10x larger than the tech tools budget. Biggest challenge: Low competitive differentiation. This pricing leaves you exposed to “I-do-the-same-but-cheaper” competitors. 2️⃣ Price per agent action, aka the consumption model See: Bland, Parloa, HappyRobot Why folks like it: It is fairly easy to go after the BPO budget as well as other freelancing agencies with a higher performing offer with better SLAs and lower costs. Biggest challenge: Pricing per activity essentially makes you a commodity and prices only go down. 3️⃣ Price per agent workflow, aka the process automation model See: Rox, Salesforce, Artisan Why folks like it: It strikes a balance between consumption-based and outcome-based pricing, making it ideal for complex but standardized processes. Biggest challenge: If the workflow is complex, it will be hard to price and you may end up upside down with negative margin for a workflow that ran longer and you couldn’t charge for it. 4️⃣ Price per agent outcome, aka the results-based model See: Zendesk, Intercom, Airhelp, Chargeflow Why folks like it: This model creates the clearest value proposition for customers, as they only pay when they receive tangible results. Biggest challenge:  Outcomes may be highly customized which may lead to proliferation of bespoke contracts. And you need a clear path to attribute results to your agent. --- Get the full framework, including an epic decision tree, in today's Growth Unhinged newsletter here: https://lnkd.in/ed8g68wh Can't wait to hear what you think 🙏 #ai #aiagent #monetization

Invest in legacy software? Doreen Huber answer is a resounding No! Ahead of curve? Yes! Controversial? Absolutely! The reasoning is sound Disruptions to legacy software, including Saas, are coming from all corners. Fueled by new AI superpowers, leaving most companies exposed and forced to pivot Strategy is about focus. This means saying No to many things

Spend a minute and listen to this closely. The email writers won't survive. The appointment scheduling tools won't survive. "These email writers or appointment scheduling tools... look impressive at first, but solve a problem you will not have anymore in a year or two. "That is not good enough. That's just a GPT I could create myself." When Doreen Huber from EQT Ventures says stuff, you should listen! "If you're only chasing fast ARR, the vibes revenue - I'm not confident you'll have the depth to build an enterprise Salesforce killer." EQT is now exclusively backing companies building end-to-end AI, not just putting an AI layer on existing solutions. The bar has gone way way up!