Monetize AI Agents Across Usage, Actions, and Outcomes
Bill by token, API call, agent action, completed task, or verified outcome—and combine variable charges with subscriptions, platform fees, or seats.
Recognized by leading analysts
Named a Visionary in the 2026 Gartner® Magic Quadrant™ for Recurring Billing Applications.
Included in the IDC EOP Vendor Reference Guide for Telecom / CSPs.
Recognized in Forrester’s SaaS Recurring Billing Solutions Landscape, Q3 2024.
AI Agents Create Value in More Than One Way
AI agents do more than generate tokens or make API calls. They resolve customer issues, complete workflows, qualify leads, process documents and execute transactions. Pricing can therefore be tied to the resources an agent consumes, the actions it performs, the outcome it delivers, or a combination of all three.
That flexibility creates a new billing challenge:
Tokens and API calls measure activity, but not necessarily customer value.
“Charge only for successful outcomes” requires a precise, verifiable definition of success.
Failed, abandoned and retried runs may need different rating treatment.
Platform fees, human seats, agent activity and outcomes may belong on the same invoice.
Finance and customers need to trace every charge to the underlying agent event.
Usage-based, outcome-based or hybrid?
The right pricing model depends on what customers value and what the platform can measure reliably.
Usage-based pricing
Charge for measurable consumption such as tokens, API calls, compute time, documents processed or agent actions. Usage-based billing works well when activity is observable, attributable and closely connected to customer value.
Outcome-based pricing
Charge when the agent delivers a defined, verified result. For example:
- a customer issue resolved without human intervention;
- a qualified lead that meets agreed criteria;
- a completed document review or data-extraction task;
- a successfully executed workflow or transaction.
Outcome-based pricing aligns the charge more directly with delivered value, but it requires clear success criteria, event verification and auditable rating rules.
Hybrid pricing
Combine a recurring platform fee or human seats with usage or outcome charges through hybrid billing. This gives customers a predictable base commitment while allowing revenue to scale with agent activity or delivered results.
Turn agent events into accurate, auditable charges
OneBill connects the commercial model to the events generated by the AI application, so agent activity can move from capture to rating, invoicing and revenue without a separate reconciliation process.
Define the billable event
Configure what counts as a chargeable token, action, task or outcome using pricing and rating rules. Apply customer-specific prices, tiers, allowances, commitments and qualification criteria without building a separate billing workflow for every offer.
Capture agent activity
Collect tokens, API calls, compute, actions, task states and outcome events through real-time metering. Preserve the identifiers and attributes needed to connect a rated event to the relevant customer, agent run and commercial agreement.
Apply Rules for Success, Failure, and Retries
Use configurable rating rules to determine which events qualify for billing. Successful completions can be rated differently from failed, abandoned, duplicate or retried runs according to the commercial model.
Combine every charge on one invoice
Bring platform access, seats, token consumption, agent actions and verified outcomes together through billing automation. Customers receive one invoice even when the offer combines recurring and variable components.
Make charges explainable
Connect billed events to a usage audit trail so finance teams and customers can understand what generated each charge. Identify mismatches among captured activity, rated events and invoiced amounts before they become revenue leakage or billing disputes.
Recognize revenue from delivered services
Connect usage and outcome charges to revenue recognition under the applicable accounting treatment, rather than reconciling agent logs and revenue schedules after invoicing.
Pricing patterns OneBill can support
These models can evolve without separating recurring, usage and outcome charges into different billing systems.
From AI experimentation to revenue operations
Early AI products may begin with a flat subscription because it is easy to launch. As usage grows and unit economics become clearer, companies may introduce credits, token allowances, commitments, overages or outcomes.
OneBill supports that progression through subscription lifecycle management, metering, rating, invoicing, collections and revenue recognition, giving product, finance and revenue teams a shared operating model as pricing evolves.
Related: Agents Don’t Sit in SeatsBuilt on complex monetization experience
High-volume event capture, complex rating and auditable invoices have long been essential in telecom. OneBill brings that monetization depth to SaaS and GenAI platforms billing for tokens, compute, agent actions and digital outcomes. The billable units are changing; the operational requirement for accuracy, traceability and revenue assurance is not.
Explore SaaS, GenAI & Datacenter billingFrequently asked questions
What is outcome-based billing for AI agents?
Outcome-based billing charges when an AI agent delivers a defined and verified result, such as a resolved support case, qualified lead or completed workflow, rather than charging only for the tokens or compute it consumed.
How is outcome-based pricing different from usage-based pricing?
Usage-based pricing charges for measurable activity such as tokens, API calls or actions. Outcome-based pricing charges for a verified result. A company can also combine the two through hybrid billing.
Can OneBill support token-based pricing?
Yes. Tokens, API calls, compute and other product-defined events can be captured and rated through usage-based billing alongside seats, platform fees or other recurring charges.
Can billing distinguish successful and unsuccessful agent runs?
OneBill can apply configurable rating rules to agent events and their attributes. The commercial model determines whether successful, failed, abandoned or retried runs are billable and how they are rated.
What outcomes can an AI company charge for?
Examples include resolved support cases, qualified leads, completed document-processing tasks, executed workflows and successful transactions. The outcome should be objectively defined, measurable and attributable to the relevant customer and agent run.
Can platform fees and agent outcomes appear on the same invoice?
Yes. A hybrid model can combine recurring platform access, seats, usage and verified outcomes on one invoice through hybrid billing.
How can customers audit AI-agent charges?
Usage and outcome events can retain the attributes needed to connect a rated charge to the underlying agent activity. This creates a traceable record for customer questions, internal controls and revenue assurance.
Does outcome-based billing connect to revenue recognition?
Yes. Rated and billed outcome events can feed revenue recognition according to the applicable accounting policy.
Monetize what your agents actually deliver
See how OneBill connects AI-agent activity, pricing, billing and revenue in one auditable lifecycle.