Chargebee

“They’ve been hitting my credit card since 2023 for a product that doesn’t exist.”

That’s Brian Morrissey (@bmorrissey), founder of the media newsletter and podcast The Rebooting, on the forgotten subscription Meta’s Muse agent found for him. A new consumer AI agent’s most popular use case is canceling forgotten subscriptions, and if your revenue comes from recurring fees, that should get your attention.

Morrissey shared the story with Jeff Sant, COO of Chargebee, at Beelieve ’26 NYC. It shows what happens when the people using a product become an ever-smaller percentage of the people paying for it. Agents like Muse are making that gap visible, which is a strong argument for pricing that tracks real usage. Media has been working through this challenge for years, and software is starting to feel it too.

Sant explained why the pressure is building. For roughly twenty years, SaaS ran on a fixed recurring fee and an 80 to 85 percent gross margin. AI has changed the math, because inference costs grow with usage while a flat access fee stays the same.

Sant invoked telecom as a clear reference point, which moved from per-minute billing to flat plans with variable components layered on top. He expects SaaS to land somewhere similar: a platform fee that gives both customers and vendors predictability, paired with a variable component tied to the value the product delivers.

A shift like that makes pricing flexibility a practical need. Chargebee supports flat, usage-based, and hybrid pricing on one system — for media and software alike — so teams can evolve their model without rebuilding their billing stack each time it changes.

Watch the full session here: bit.ly/3WvJxtl

#Chargebee #Beelieve26 #NYC

As finance teams transform into AI-native organizations, we’re sharing an inside look at the operating principles required to run one.

Our Finance Director, Neerav Patwa, sat down with @AlonaMysko (Founder of @fuelfinance_ and author of The Finance Engineer on Substack) to break down how our finance team operates from the inside.

Today, the office of the CFO at Chargebee runs on 50+ agents and automations across billing, accounting close, FP&A, treasury, and procurement.

That transformation comes down to deliberate operating choices:

⟡ Distributing technical ownership: Rather than waiting on IT or engineering roadmaps, three to four finance teammates stepped up as internal "finance engineers," creating a peer-led system to help the rest of the team build their own workflows.

⟡ Strict human-in-the-loop governance: Agents handle recurring execution on schedule, but every process routes exceptions to human review and judgment.

⟡ Total visibility over shadow IT: Every script and automation is tracked in a central inventory, supported by per-person AI budgets and regular reviews with finance leadership to monitor what runs.

The result is tangible operational capacity: cash application runs in two minutes instead of 45, and our quarterly capitalized software accounting—previously 16 spreadsheets consolidated by hand over nearly a week—now runs in one day.

We built Traceable, the AI summit for finance teams looking to learn how to use these exact blueprints, bringing finance, RevOps, and engineering leaders together to unpack how operating models actually function behind closed doors.

Thank you to Alyona Mysko for capturing the full architecture in the latest issue of The Finance Engineer.

Read the deep dive on The Finance Engineer here: bit.ly/4jUduNs and join us at Traceable for industry insights from top finance leaders here: chargebee.com/traceable/

#Chargebee #Traceable #FinanceAndDevOps

Somewhere in your network, a CFO is coding a deal desk.

Another is wrangling MCPs to deliver automations nobody has seen before. A third has agent swarms triaging invoices.

The era of the builder CFO has arrived, and finance teams that once relied on engineering are now building workflow automations, real-time dashboards, and agents that do real work, just like engineers do.

That shift is creating a new role, the finance engineer, and it’s happening inside lean, high-leverage teams. The playbooks are being written right now, and the people writing them can tell you what building the future of enterprise finance has actually taught them.

Traceable by Chargebee is a virtual summit on November 18 dedicated to documenting this shift. CFOs, controllers, finance engineers, and founders will lead show-and-tell sessions on the agentic systems and automations they’ve already shipped, with leaders from @vercel, @public, @Meet_campfire, @get_sphere, @every, and other frontier teams.

The summit is entirely virtual, so you can join from wherever you work, and it’s built for leaders already asking where this shift leads next: what to automate, what to keep with people, and how to build with auditability from the start.

Hear how finance leaders are building with agents today, and take a few ideas back to your own team: chargebee.com/traceable/

#Chargebee #Traceable #CFO

Does your pricing truly reflect how customers get value from your AI product?

The answer usually shows up in the numbers. Packaging can overlook what AI costs to run, and enterprise contracts written for SaaS can crack when agent usage spikes. Both trace back to a SaaS playbook applied to a very different product.

This Thursday, November 5, Prittam Bagani, VP of Product at Chargebee, walks through what a monetization model built for AI looks like, using real examples from leading AI companies with Product Led Alliance (@PLEDalliance). We build a live model for a fictional multi-product AI company, from pricing unit to enterprise contract to metering infrastructure.

🗓️ Thursday, November 5 | ⏰ 8am PT / 11am ET / 4pm GMT

What you’ll learn:
⟡ Why seats stop working when agents do the work, and why consumption becomes the real value driver
⟡ How to climb the pricing unit ladder, from raw tokens to credits to units of work to outcome-based pricing
⟡ The four primitives behind every enterprise AI deal: entitlements, commitments, price, and settlement
⟡ How to design around the infrastructure gap before launch

Join here to leave with a practical framework your team can use right away: productledalliance.com/the-monetizati…

How do two at-scale subscription companies—one a B2B SaaS platform with a freemium model, the other a B2C healthcare service—run pricing experiments without breaking ARR?

At Beelieve Sydney, Darcy Price (Engineering Manager at @Linktree_) and James Taylor (Chief Product Officer at Mosh) broke down how pricing decisions have moved out of finance spreadsheets and directly into product teams.

Here is how their operational motions compare:

Linktree’s Freemium & Entitlement Engine: Rather than constantly shifting baseline tier prices, Linktree runs major price tests twice a year. Alongside those tests, feature teams run constant, automated experiments on entitlements and feature add-ons—tailoring tiers based on user categories (e.g., real estate vs. creator) while finance sets strict risk guardrails.

Mosh’s Data-Driven Onboarding: Carrying direct unit costs for medications and doctors, Mosh uses a detailed intake quiz to segment users from day one. New customers who anchor to off-the-shelf pharmacy pricing may pay less upfront, while established medication users show willingness to pay more for high-value add-ons like biomarker scans.

As Darcy put it: pricing used to sit behind 55 spreadsheets in the office of the CFO. Today, engineering and product teams ship pricing experiments directly, freeing up the CFO to provide strategic oversight.

The common denominator for both models? Reliable data infrastructure. Without clean data behind every test, pricing experiments could devolve into internal friction and thrash.

Read the full deep-dive, Always-On Entitlements, Quiz-Based Pricing: How Linktree and Mosh Run Pricing as a Product, on the Chargebee blog: chargebee.com/blog/always-on…

#Chargebee #Beelieve #PricingStrategy