Ask anyone in enterprise sales if they love their quote-to-cash process, and you'll probably get a lot of eyerolls 👀. At @Dreamforce this year, we set out to challenge that status quo(te). At the Chargebee booth, attendees could see firsthand how flexible monetization works in real time—creating quotes directly in Agentforce and via Claude, or updating pricing plans on the spot—all without leaving the interface they were already using. Behind each option, workflows stayed connected to real billing data, ensuring what was displayed on screen accurately reflected what customers would actually be charged. Dreamforce drew 50,000 attendees this year, creating quite a buzz 🐝, and hundreds stopped by to experience Chargebee’s monetization platform in action. An incredible week at @Dreamforce—the energy was unmatched and the response to our platform blew us away! 🚀✨ Quote-to-cash is a process few people claim to love, yet most teams still accept a gap between their front-end sales tools and back-end billing systems as the regular cost of doing business. Chargebee addresses this by unifying product catalogs and revenue data so that there is no reconciliation gap later on between what was sold, what was invoiced, and what was provisioned. Learn how Finance and RevOps leaders can help their companies handle enterprise selling complexities here: bit.ly/3VX8m0R #Chargebee #Dreamforce

We’re live! Tune in right now to catch our Co-Founder & CEO, @cbkrish, on @ETN ⚡️👇 🎙️ Click here to watch live: nitter.cf/etnshow/status/2104525…

The economics under most agent products are still hard to see. Teams ship an AI workflow without a firm cost-per-outcome understanding, reconcile the model bill against an average, and then quarter end arrives. A feature priced one way turns out far more costly to serve than expected. Why? A single run extends across a harness, one or more routers, and the tools it calls, and each one sees only its own slice. The harness knows the customer and features. The router knows the tokens. A tool can hold a sandbox open for four minutes or wrap a paid API, but those costs never reach the router. Every layer can be fully instrumented, and we’ll still have no single record of what the run actually cost, end to end. Today, we're proud to introduce AUDR (Agent Usage Detail Record), an open standard for that agent run cost record. The standard borrows from the telecom industry's Call Detail Record: meter usage now, price it later. Three rules make that possible: one run ID across every layer, one authoritative source per field, and strict merging with no silent overwrites. We're building AUDR alongside some of the best teams in the ecosystem, as spec reviewers, early adopters, or advocates, including @merge_api, @mastra, and @tinyhumansai, among others. For developers to get started easily, the spec plan includes adapters for key platforms and frameworks, including @nvidia NeMo Relay, Merge Gateway, Mastra, @vercel eve, @LangChain, @LiteLLM, and @OpenRouter Granular cost instrumentation is becoming foundational infrastructure for anyone building or monetizing agents. We think it should be open, neutral, and community owned. Read the spec, write an adapter, and help us improve it: openaudr.dev/

“Refreshing to hear peers this far along talk this openly about what they’re still figuring out.” That sentiment echoed across the Museum of Contemporary Art at Beelieve ’26 Sydney, where a full house of software and AI leaders gathered to break down what it actually takes to price, package, and scale emerging business models in the AI era. Duncan Norman, GM Product Growth at @Xero, joined our COO Jeff Sant to break down how Xero is shifting beyond traditional accounting—moving from recording past transactions to building AI workflows that take safe action on a customer's behalf. And what that means for what they bundle vs monetize independently, as both value and costs to serve shift. The conversation moved from product to the realities of scaling revenue operations, as our VP APAC Chaitanya Jha spoke with Jono Ross (@Atlassian), Charlotte Kitchener (Hapana), and Chris Urbanski (@ReapitSoftware) that approving a new pricing strategy is only the beginning—the real test lies in managing billing systems, entitlement syncs, and critical finance workflows behind the scenes. Fast experimentation requires that same operational confidence. Darcy Price (@Linktree_) and James Taylor (Mosh) joined our VP Solutions Consulting Shakti Bharath to detail how product and engineering teams embed monetization directly into the product experience. They broke down how Linktree runs broad feature entitlement experiments across its massive user base, how Mosh pairs feature flagging tools with Chargebee APIs to decouple pricing tests from core product stability, and how to keep plan variations from becoming a long-term engineering tax. A special thanks to our partners, @fat_zebra and @avalara, for bringing high energy and making the event a success. Our next stops this fall are Berlin and Paris—reserve your spot today: events.chargebee.com/ #Chargebee #Beelieve26

PLG companies moving toward enterprise keep hitting the same handful of mistakes. In her latest newsletter, @Lovable's Head of Growth, @ElenaVerna, explores the “completely unoriginal” growing pains PLG-first teams encounter when moving upmarket: a $50K self-serve account renamed an "enterprise win" with no new value created, moving a popular self-serve feature to an enterprise plan, and more. Monetization shows up as a lever in getting more than one of these right, whether that's delivering targeted expansion offers based on actual consumption, packaging features in a way that drives deeper adoption, or offering credit top-ups for bursty usage. We think a lot about the work of scaling different commercial motions at Chargebee and were proud to sponsor this edition of Elena's—consistently insightful—newsletter. Dive into the full breakdown (and don’t miss the BINGO or rather the PLGOh no card): bit.ly/4yOdQsW #PLG #Chargebee #GTM

As AI model costs, user expectations, and value metrics shift all at once, companies are no longer just trying to price AI. They’re actively figuring out how to operationalize usage-based, credit, agentic, and hybrid models across their entire organizations, and navigating what it means to build a sustainable business in the AI era. 📍 Join us in New York City on Tuesday, September 22, for Beelieve NYC🗽🏙️🍎, featuring insights from leaders at @Optimizely, @useapolloio, @merge_api, @RilletHQ, The Rebooting, and @chargebee: ⟡ How two cutting-edge product and growth leaders — @Optimizely's, Nikita Bokil and @useapolloio's Dan Cronyn — are rethinking pricing, packaging, and product experimentation to drive growth from day one ⟡ How @RilletHQ's Ethan Vaca and @merge_api’s Jamie Wang are bringing pricing strategy to life with customers through modern approaches to RevOps and Customer Success ⟡ How the business of media is transforming in the age of AI to center on audiences, not algorithms ⟡ And how Chargebee is building to empower every business to monetize their innovations through product-led and sales-driven motions. You'll walk away with actionable blueprints for growing customer value, streamlining your billing operations, and scaling any pricing model. Reserve your spot for the live event at The Standard, East Village (1:00 PM - 6:00 PM EST): events.chargebee.com/e/beeli… #Chargebee #Beelieve26 #AIPricing

For you leveraging usage-based pricing, payment failures can severely impact revenue. We're hosting a live session on September 23 at 8 AM PT / 11 AM ET with Chargebee’s Sr. Director of Product, Karthik Narayanan: "Why Your Payments Stack Is Bleeding Revenue." In this session, Karthik will cover: ⟡ Why payment failure hits harder in usage-based and credit-based billing models ⟡ How to identify where revenue is leaking in your current stack ⟡ Recovery strategies that work at volume without degrading customer experience You'll also get a first look at Chargebee Reveal, our payments intelligence platform designed to give teams clearer visibility into payment performance and transaction failure points. Register for the live session here: chargebee.com/webinars/why-y… #FinTech #RevOps #Chargebee

Categories are being redefined every few months, and speed has moved from a competitive edge to an absolute requirement for companies who want to last. As our Chief Marketing & Growth Officer, Guy Marion, broke down at @stepconference SF this month: winning in a fast-moving market comes down to a clear, repeatable formula. Teams need the systems to build context across online signals and sales touch points, track whether AI feature adoption is actually sticking, and pinpoint where customers get real value, so they can define pricing and take it to market fast. The gap between understanding customer value and putting a price on it is where expansion revenue leaks. When product engagement moves as fast as it does today, your monetization strategy can’t sit waiting in an engineering backlog. Chargebee Billing and Chargebee Growth unite real-time usage data with automated billing infrastructure. By giving Product and Revenue teams the ability to meter consumption, test packaging, and roll out value-based pricing instantly, Chargebee ensures your pricing strategy moves at the same speed as your product innovation. Read the full Go-To-Market Playbook to see how modern teams align product velocity with revenue growth: bit.ly/4yxoLaq and watch the full Step SF panel recording here: bit.ly/4j6jNgh #Chargebee