Agentic Billing
Billing & monetization infrastructure
for your AI agents.
Your pricing keeps evolving as your product matures and your customers trust the agent with more: credit drawdown, outcome pricing, enterprise commits, usage overages. Chargebee is built to hold it together as it does.
The agentic pricing problem
Your software now does
what used to take a human.
Legal review. Production code. Customer resolution. Market research. These weren't software features, they were jobs. The moment software became capable of doing the actual work, the entire commercial logic of how you charge for it had to change too.
1 There's no obvious value metric
A seat made sense when the human was the unit of value. When the agent is, you're choosing between what it consumes, what it completes, and what it delivers. The right answer depends entirely on what your agent does and how much your customer trusts it.
2 Your pricing model will change. Probably more than once.
You'll launch on one model and move as your product matures and your customers get comfortable. The company that starts on usage credits often ends up on outcome pricing. Not because it was planned, but because attribution becomes defensible as autonomy is earned.
3 What the agent did and what you charged for it can easily drift apart
Every time an agent executes something, a commercial question is being answered in real time — or not. Overages go uncaught. Entitlements go unenforced. Customers get surprised. The gap between what your agent delivered and what your invoice reflects is where margin and trust both leak.
"Chargebee gives us the flexibility to innovate faster than legacy systems, scale sustainably, and align pricing with the real value we deliver."
The assistant
Human in the loop
Seat + usage creditsThe reportee
Supervised execution
Credits per action · Workflow runsThe peer
Agent delivers, human acts on it
Per outcome · FTE-equivalentMost products start as an assistant and expand autonomy as customers trust the agent with more responsibility. The pricing model has to keep pace.
Monetization architecture
Agent revenue spans more systems
than most billing vendors were built for.
The quote lives in CPQ. The entitlement lives in application code. Usage lives in a metering tool. When those systems disagree, and they will, someone reconciles them by hand. Chargebee makes them one object, so there's nothing to reconcile.
Explore Billing →rules
contracted limits
downgrade timing
rules
performance obligations
contracted limits
data
entities
Solid lines = system logic
Dashed lines = manual logic
Sticky notes = human workarounds
Pricing models
Price the way your agent creates value:
credits, actions, or outcomes.
The pricing model you launch with is rarely the one your product settles on. When you're ready to evolve, Chargebee carries it forward: the catalog updates, live subscriptions stay intact, and revenue recognition adapts to match.
Credit-based pricing
A virtual currency that moves with your product
Customers buy a pool of credits upfront and draw it down across features and agent actions. Credits can be granted daily, monthly, or annually, independent of billing frequency. Rollover policies are configurable per contract type. Grant quantities can be overridden per subscription without touching the underlying plan for everyone else.
Workflow & action pricing
Charge for work delivered by your agent
Define a billable unit at whatever level makes sense: a workflow completed, a task resolved, a document processed. Customers see a clean number. The multi-step execution underneath maps to your metered feature configuration in Chargebee.
received
running
Outcome-based pricing
Charge per result delivered, not per attempt
Model distinct outcome types as separate metered features each with its own unit price. Customers only pay when the agent delivers what they hired it for. Non-billable states like escalations or failed attempts are ingested for analytics but never rated.
resolution
Hybrid models
Commitment plus consumption, on one contract
A platform fee that locks in the relationship. Included usage that covers the base case. Monthly overage settlement when customers run above it. Per-deal usage limits configured in CPQ and propagated automatically, without touching the plan for other customers.
Margin protection
The accounts that grow fastest
can also be the ones that cost you most
Heavy agent usage reads as strong adoption in product analytics. In the P&L, it tells a different story. These are the controls that keep those two numbers from diverging.
Acme Corp · AI Workspace
You've used 80% of this cycle's AI credits
8,000 of 10,000 used · 2,000 left · renews in 8 days
Alert fires before the wall — adoption stays healthy, and the customer can act in time.
This agent run needs 500 credits. You have 120 left. The operation was stopped before it executed.
No work runs at a loss. No surprise overage on the invoice.
The hard cap is the margin guardrail: spend stops at the limit until the customer pays to continue — usage becomes revenue, never silent cost.
Threshold alerts the moment an account crosses the line
Configure a threshold per plan or account. When a subscription crosses it, a webhook fires and your system decides: upgrade prompt, CSM alert, or access block. You act before the period closes.
Overages and hard caps, enforced per plan
Define included usage, the overage rate, and the hard ceiling once per plan. Every credit past the included pool becomes overage revenue or stops at the cap. Heavy usage is a billed line item, not a month-end surprise.
No request can overdraw a shared credit pool
When multiple users share a low credit pool, hold-and-authorize locks what the first request needs. Subsequent requests see zero and are blocked. No silent overruns.
Your customers always know what they have left
Your usage dashboard and the customer's credit view draw from the same engine. Accounts approaching their limit are expansion signals. Custom entitlements from a deal flow through to billing automatically.
Quote to revenue
The first enterprise deal
arrives before your quoting does.
AI companies run into enterprise demand earlier than any previous software generation. Chargebee CPQ is built on the same billing engine. Every quote pulls from your live catalog, tokens and all, and an accepted deal becomes a billing record without manual re-entry.
Quoting
Quote a pilot, a multi-year ramp, or a credit package in one document. Selling Rules enforce discount floors and approval routing automatically. When the deal signs, the subscription provisions without manual data entry.
Explore CPQ →Usage tracking and billing
Once a customer is live, consumption becomes the renewal signal. Accounts approaching their included usage or burning through credits faster than expected are expansion conversations waiting to happen.
Explore Usage-Based Billing →Collecting what you're owed
Chargebee Receivables segments customers by payment behavior and automates follow-up sequences for each cohort. Disputes are tracked in a real-time dashboard. Finance stops chasing invoices manually and DSO comes down.
Explore Receivables →Revenue recognition
ASC 606 and IFRS 15, native. Credit drawdown recognized as deferred revenue is consumed. Multi-year contract modifications update without manual schedule adjustments. The recognition schedule comes from the same record as the quote.
Explore RevRec →"As agentic AI reshapes how customers use Zapier, Chargebee lets us simplify pricing, run rapid experiments, and support flexible enterprise contracts without tying up engineering."
Ryan Roccon, CFO, Zapierfaster deal closures after embedding Chargebee quotes in CRM — Refocus
reduction in time sales spends on non-selling tasks — Coorpacademy
Chargebee MCP
Query your billing data
where your team already works.
Connect Chargebee to Claude, Cursor, ChatGPT, or any AI client of your choice. Every subscription, invoice, credit balance, and revenue metric becomes queryable in plain language by finance, CS, RevOps, and product, without SQL, without waiting for a report.
Cash and collections
Ask in plain language:
- ›Pull all failed payments from the last 7 days.
- ›Show overdue invoices above $10,000.
- ›What credit notes were issued this month, and why?
- ›Which customers are in dunning, and for how long?
Works with Claude · Cursor · ChatGPT · Codex · Claude Code · Notion AI
Why Chargebee
Enterprise depth.
None of the enterprise weight.
Chargebee is not a suite you have to buy all of. Start with what your stage requires and add more as your revenue operations mature. What makes it worth choosing over a specialist tool is what is already connected underneath.
A product catalog that handles both hybrid pricing and hybrid GTM
One catalog drives self-serve checkout and enterprise CPQ simultaneously. Usage blocks, credit packs, seat tiers, ramp structures, all in the same catalog. Pricing changes propagate to both motions without engineering involvement.
A usage and credit engine that's been tested at real AI scale
The entitlement, the credit balance, the usage event, and the invoice are one object; native to the billing engine, not bolted on. Concurrent users can't silently overdraw a shared balance. Chargebee handles usage events that arrive out of order, arrive twice, from systems that disagree on timestamps, so your invoices are always accurate.
CPQ, billing, entitlements, and RevRec on one commercial record
When a deal structure changes mid-year, everything downstream updates automatically: the entitlement, the billing schedule, the recognition timeline. Because the quote, the billing event, and the revenue schedule share one commercial record, there's no reconciliation step and no manual correction.
Payments infrastructure that goes beyond processing
40+ gateways, 100+ currencies, multi-entity payment routing. Chargebee Reveal monitors authorization rates in real time, diagnoses failure patterns by gateway and card type. It surfaces the highest-impact fixes continuously, so you don't have to build a payment analytics layer.
A team that has done this before, at scale
Chargebee has been around for 14+ years and is trusted by 6,500+ businesses worldwide. Companies that have gone public, been acquired, and scaled across 180+ countries. The implementation team knows where the edge cases are, because they've seen them.
You pick where you start
Most customers start with billing and add modules as their revenue operations grow. CPQ when the sales team scales. RevRec when the auditors arrive. Receivables when AR becomes a full-time job. Each module connects to what's already running without an integration project or second source of truth.
Companies monetizing agents at scale
See who chose Chargebee
and what it came down to.
Lambda
AI Infrastructure
"As we deploy the world's most advanced AI supercomputers, we needed billing that scales with our complex hybrid business model. Chargebee's flexibility, extensibility, and roadmap align with our ambitions."
Varun Singh, Head of Information Systems, Lambda
CodeRabbit
AI Code Review
"Chargebee let us manage everything from open-source free tiers to enterprise contracts — without adding operational complexity as we scaled."
month-over-month revenue growth
PLG to enterprise motion handled in one platform. Automated retention workflows drove subscription reactivations at scale across 5,000+ paying customers.
LimeChat
AI Conversational Commerce
"Chargebee enabled us to experiment with multiple pricing models, including usage and outcome-based pricing."
cash flow in 6 months
Fixed platform fee plus per-successful-conversation pricing. Automated dunning lifted on-time collection from 40% to 100%.
"Chargebee gives us the flexibility to innovate faster than legacy systems, scale sustainably, and align pricing with the real value we deliver. It lets us focus on innovation while staying confident in our pricing and billing operations."
Kunal Agarwal — CFO, Gorgias
Common questions about agentic billing
How do you price an AI agent?
Why can't existing billing systems handle AI agent monetization?
What is the difference between credit-based, action-based, and outcome-based pricing?
How do you prevent margin leakage as agent usage scales?
What happens when your AI agent pricing model needs to change?
Can Chargebee handle both self-serve and enterprise AI agent pricing on the same platform?
Get started
Start with the problem you have today
Agent billing surfaces as a pricing problem, a selling problem, a metering problem, or a revenue recognition problem. Tell us where your stack is breaking.