Move from just experimenting with AI monetization to operationalizing it. Turn AI disruption into durable growth with insights on the right pricing models, operating stack, and real‑world stories.
...AI is reshaping how companies drive revenue.
...AI is reshaping how companies drive revenue.
Strategic pricing insights from Zuora, AWS, and Simon-Kucher.
The Future of Monetization Learn why AI changes what you charge for and why operational execution, not just pricing theory, separates winners from laggards.
Pricing insights from Zuora CEO Tien Tzuo
The Future of Monetization Learn why AI changes what you charge for and why operational execution, not just pricing theory, separates winners from laggards.
Finding Your UOM: The Zen of AI Pricing
Land a unit of measurement that scales with value, protects margin, and is simple to explain.
ARTICLE
Evaluating Agentic AI: Begin at the End
Land a unit of measurement that scales with value, protects margin, and is simple to explain.
ARTICLE
FUTURE OF
MONETIZATION
Fear of the Unknown AI
A field guide to variable pricing, usage, and ROI and how to turn volatility into signal.
ARTICLE
The Four Kinds of Agentic AI Pricing Models.
Understand the differences between charging per agent, output, activity, and outcome, and the trade‑offs.
ARTICLE
The AI monetization reality check
Most companies are experimenting, but few are succeeding.
97% of leaders in SaaS say their systems can’t support the type of complex pricing required for AI
You face a new set of questions
1
Pricing and offers How do we monetize the value of AI without destroying margins?
2
Process and ownership Who “owns” monetization in the AI era and can we move from pure innovation into structured execution?
3
Systems and scale Can our tech backbone support real-time AI monetization at scale?
The answers to these questions
create a dividing line for revenue growth
Those that get left behind
Experimenting with AI monetization
Static offer packaging that doesn’t change with usage
Strategic revenue decisions made ad hoc by product or sales
Systems can’t support frequent pivots
Those that lead
Operationalizing AI monetization
Offers with multiple pricing models: usage, tiered, outcome-based
Revenue is a shared responsibility — across Product, Finance, and RevOps
Ability to launch, test, and reprice AI-powered features rapidly
The good news: The playbook for AI monetization is the same across industries
The AI Pricing Pivot: Why SaaS Must Transform Again
Practical guidance for choosing AI pricing metrics and launching transparently—with the COMPASS framework inside.
WHITEPAPER
The latest AI monetization research
Pricing Agentic AI: The Impossible Triangle
How to balance cost‑to‑serve, customer adoption, and value delivered, all at the same time.
ARTICLE
Pricing Agentic AI: The COMPASS Framework
A prescriptive map to choose per‑agent, per‑activity, per‑output, or per‑outcome, based on scope and attribution.
WHITEPAPER
Michael Mansard, Zuora Principal Director of Subscription Strategy and developer of the COMPASS framework for AI monetization
Monetizing Agentic AI: Why CFOs and CIOs Must Lead Together
Discover why Finance and IT must join forces to make AI monetization a true success.
ARTICLE
State of GenAI Monetization
What leading SaaS companies are getting right (and wrong) about cost, adoption, value—and why usage and hybrid models are surging.
RESEARCH
Why a usage-based model is key to monetizing AI for SaaS
Successful AI monetization requires robust strategies and technologies to enable accurate usage metering, value quantification, and billing and revenue …
ARTICLE
Stories from the frontlines of innovation
Go behind the scenes with the leaders who are already operationalizing AI monetization.
[1]
[2]
With the arrival of AI, many new pricing metrics are emerging. The challenge is to choose the one that will make sense for the future—both for the customer and for us. Zuora gives us the flexibility to test and pivot quickly as we learn what resonates most.
Mélanie Septe, Senior Vice President of Pricing, Cegid
STORY
From a customer-centric perspective, you really need to know what tools are you building so that you can actually predict the usage so that customers can budget it and then they can pay you.
Ramya Raj, VP & Global Head of Go-to-Customer Solutions, Genesys
STORY
Ready to monetize AI
— for real?
Monetize Usage From Event to Invoice to Revenue Go live with usage, hybrid, and commitment models with real‑time mediation, auditable rating, and revenue automation to protect margins as adoption grows.
Intelligent Pricing & Packaging With an AI-ready Catalog Define once, deploy everywhere across CPQ, ecommerce, and self‑service. Support 50+ charge models and align pricing rules with accounting policies.