Monetizing AI: From novelty to necessity - Approaches to AI monetisation at SaaS companies (and how to choose the right path for you)
Authors: Amalie Kubicki, Danilo Zatta, PhD, and Rasmus Vaupel
What is the right monetization path for our AI developments? There isn’t one answer. In practice, three approaches dominate, and the best strategies blend them. This article lays out the three monetization approaches with real examples, explains how to choose a metric that mirrors value, shows how the type of AI agent you deploy points to the right model, and closes with why credits, caps, and bill forecasts are fast becoming standard. This article focuses on Monetizing AI, but it is also useful for other revolutionary products and services. Amalie Kubicki (amak@implement.dk) is an Engagement Manager at Implement Consulting Group. She is an expert in profit optimization, pricing, price model design, value proposition design, and recurring revenue model design, with a flair for SaaS and AI monetization models of the future. Danilo Zatta, PhD, MBA (daza@implement.eu) is a Senior Partner at Implement Consulting Group and globally recognized management advisor and the author of several books including “The Pricing Model Revolution” and “The 10 Rules of Highly Effective Pricing.” He has been recognized as one of the Global Top 50 Marketing and Sales Thought Leaders. The Financial Times described Dan as “one of the world’s leading pricing minds.” Subscribe to his pricing newsletter – The Price Point – on LinkedIn. Rasmus Vaupel (ras@implement.dk) is a Senior Partner at Implement Consulting Group. He is leading the monetization and Pricing strategy team dedicated to helping companies grow their topline through pricing excellence.

How Small Is Too Small? The Pricing Team Blind Spot in B2B Strategy
Authors: Stephan Liozu, PhD, and Joe Fleming
As B2B markets grow more complex and competitive, the era of tiny, informal pricing teams must end. Pricing will only lose its blind spot when the conversation shifts from “is the team big enough?” to “is the team effective enough?", as the authors explain. Stephan M. Liozu (sliozu@gmail.com) is a Pricing Thought Leader with fifteen years’ experience in value-based pricing, pricing transformations, and pricing technology. Stephan currently serves as SVP, Chief Value and Monetization Officer at Quest Software. He has edited and authored sixteen books including Organizing the Pricing Function (2025) and Value-based Pricing: 12 Lessons to Make your Transformation Successful (2024). Stephan sits on the Advisory Board of the Professional Pricing Society. Joe Fleming (joe@venortech.com) is an executive search recruiter focused on finding exceptional Pricing & Commercial Excellence talent for B2B companies in the US and Europe, helping firms make pivotal hires to advance their strategic goals. Connect with Joe on LinkedIn: www.linkedin.com/in/jmfleming.

Token-Based Software Pricing: A Strategic Lever for Balancing Innovation with Sustainable Margins
Authors: Philip W. Daus and Paul Bland
As software vendors face new challenges, such as rising cloud costs and AI costs, they have the opportunity to embrace new pricing strategies to support sustainable margins and economic value capture. Token-based pricing allows for a combination of different revenue models and pricing metrics under one umbrella, as the authors explain. Although focused on pricing for AI and software systems, this article provides pricing insights applicable to numerous verticals. Philip W. Daus (philip.daus@simon-kucher.com) leads pricing and commercial excellence projects at Simon-Kucher, serving as partner and head of the Houston office. He has more than 20 years of experience and has worked for Fortune 500 giants to PE-owned startups across B2B and B2C industries. His expertise spans pricing diagnostics, commercial growth strategies, packaging & monetization projects, and complete pricing transformations. Paul Bland is Vice President of Product Management at Revenera, where he focuses on monetization products that help vendors generate revenue and protect margins with their own software products, where hybrid deployments and hybrid monetization approaches is the norm.

The value attribution problem and pricing: How can we attribute value between multiple solutions
Authors: Steven Forth
The value attribution problem may be the most important unsolved challenge in AI-era pricing. In this article, author Steven Forth explains what he and his partners, Michael Mansard from Zuora and Edward Wong from GTM Pricing, are doing to address the challenge. Steven Forth (steven@valueiq.ai) is a Principle at Ibbake and Founder at valueIQ.ai, an agentic AI company building agents for pricing and value. He is a frequent PPS speaker and contributor, and he writes regularly about pricing innovation and value-based pricing.