01
Direction
Set goals & KPIs
Define the growth, adoption, margin, retention, and market-position goals pricing must support.
Masterclass in Agentic AI Pricing and AI Products
Free • 3 Hours • Live Executive Masterclass
A practical Agentic AI masterclass for leaders choosing AI agent pricing models, building agent-native products, transforming SaaS, or turning services expertise into scalable agentic businesses.
Hosted by
Ajit Ghuman & Akhil Gupta
Pricing strategy and monetization engineering expertise
Experience from
Course Completion Certificate
Complete the live session and receive a Monetizely certificate recognizing your training in Agentic AI pricing and monetization.
What is Agentic AI pricing?
Agentic AI pricing is the discipline of monetizing AI agents that perform work with increasing autonomy. Unlike traditional SaaS pricing, it must connect customer value with variable inference costs, agent output, business outcomes, and the systems required to meter and bill autonomous work.
What you'll learn in this Agentic AI masterclass
Understand the new financial species
Read the agentic P&L: labor-budget revenue, inference-driven COGS, leaner operating structures, and the economics that separate agents from traditional SaaS.
Find where differentiation really lives
Look beyond the model to the harness: orchestration, memory, permissions, integrations, and the systems that turn intelligence into a defensible product.
Match the metric to the value
Apply Monetizely's five-step pricing framework and Agentic Monetization Spectrum to choose between seat, usage, output, outcome, and hybrid structures.
Make monetization work in practice
Connect product strategy to the seven-layer monetization stack, and see how services firms can move from time and materials toward outputs and outcomes.
Same top line. A fundamentally different cost structure.
Agentic products can sell into labor budgets rather than software budgets, but they also carry variable inference costs. The masterclass shows how revenue potential, COGS, and operating leverage must be designed together.
What you’ll get out of this course
Diagnose whether an agent should be priced by access, usage, output, outcome, or a hybrid.
Separate model capability from the harness and identify the product's real source of differentiation.
Map customer segments to offers without forcing every buyer into one oversized package.
Balance value alignment with inference costs, buyer risk, competitive pressure, and implementability.
Recognize the monetization infrastructure required before a pricing model can operate at scale.
Translate an agency or services workflow from time-and-materials toward output and outcome models.
From strategy to execution
The 5-Step Pricing Framework
Each decision creates the inputs for the next. The result is a pricing model that is commercially sound and operationally real.
02
Market
Segment customers
Separate buyers by needs, value, behavior, and willingness to pay—not only by company size.
03
Offer
Design packaging
Shape clear offers around customer jobs, agent capabilities, controls, and service levels.
04
Economics
Choose metric & price
Select seat, usage, output, outcome, or hybrid pricing and validate the right rate structure.
05
Execution
Operationalize
Connect metering, entitlements, billing, sales enablement, governance, and iteration.
01–02 Understand the business and buyer
03–04 Design the offer and economics
05 Make the model work at scale
This course includes
1 interactive live 3-hour session
8 case examples
1 hands-on exercise
Free Monetizely pricing tools
Lifetime access to materials
Direct instructor access
Guided feedback
Course completion certificate
Total Time
3 hours total in a single live session
Who it's for
For the peoplemaking the model real
This Agentic AI pricing masterclass is built for the leaders responsible for turning AI capability into a scalable product, offer, and operating model.
Agentic AI founders
Building an agent-native product and deciding how it should make money.
SaaS leaders
Rearchitecting an existing product, business model, or go-to-market motion for AI.
Services & agency leaders
Turning domain expertise and repeatable delivery into an agentic operating model.
Product & pricing teams
Responsible for packaging, metrics, rates, metering, or monetization operations.
4.6 from 24 ratings
What professionals say about our full pricing course
Real reviews and profile photos from participants in Monetizely's broader pricing course. They are shown here as feedback on our teaching and are not presented as reviews of this specific Agentic AI masterclass.
“This was a great course that covers all the most important aspects and frameworks relevant to SaaS pricing. I would highly recommend it.”
“The course covered a wide range of pricing and packaging concepts. It also contained a lot of good examples and the instructors answered specific questions from the attendees.”
“The course is insightful and offers value beyond SaaS. I had several aha moments throughout, and Ajit presented an easy-to-follow framework.”
“Incredible insights and learning, with immediately applicable methods. I was able to update our pricing strategy and feel confident applying what I've learned.”
“The instructor demonstrates extensive knowledge of the subject. The course helped me structure my ideas and provided a highly applicable framework.”
“This is a very practical course for pricing professionals in SaaS. I learned strategies that I will apply in my work right away.”
Choose the right value metric
The Agentic Monetization Spectrum
Place the agent on three dimensions, then move toward the pricing model its autonomy, scope, and economics can support.
Human anchoredAgent led
Predictable
Per seat / access
Balanced
Hybrid / usage
Value aligned
Output / outcome
01
Zero Human Ability
How much human involvement does the agent still need?
02
Operational Domain
Does it handle a task, a workflow, or a broader domain?
03
Output / Cost Curve
How quickly does output value outpace compute cost?
Meet your instructors
Ajit Ghuman
Co-Founder & CEO, Monetizely
Author of Price to Scale and pricing leader with experience at Twilio, Narvar, and Medallia. Ajit advises software companies from seed stage to post-IPO.
Akhil Gupta
Co-Founder & COO, Monetizely
Akhil is an engineering leader with over 16 years of experience building, managing, and scaling web-scale, high-throughput enterprise applications and teams. He has worked with and led technology teams at FabAlley, BuildSupply, and Healthians. He graduated from Delhi College of Engineering and is a UC Berkeley-certified CTO.
Frequently Asked Questions
Everything you need to know about the course
What is covered in this Agentic AI pricing masterclass?+
The live three-hour Agentic AI masterclass covers agentic business economics, AI agent pricing metrics, packaging, the Agentic Monetization Spectrum, outcome-based and usage-based pricing, inference costs, and the monetization infrastructure needed to meter and bill agentic work.
Who should attend an Agentic AI masterclass?+
It is designed for Agentic AI founders, SaaS and AI executives, services and agency leaders, product managers, product marketers, pricing leaders, and engineering or finance teams responsible for AI monetization.
How is Agentic AI pricing different from SaaS pricing?+
Traditional SaaS commonly charges for software access or seats. Agentic AI increasingly performs work itself, which can shift pricing toward usage, output, or business outcomes. The model must also account for variable inference costs, autonomy, operational scope, buyer risk, and the infrastructure needed to measure agent activity.
Which AI agent pricing models will I learn?+
You will learn when to use per-seat or access pricing, usage-based pricing, output-based pricing, outcome-based pricing, and hybrid models. The Agentic Monetization Spectrum helps connect the right model to the agent's autonomy, operational domain, and output-to-cost curve.
Do I need a pricing or technical background?+
No prior pricing or engineering specialization is required. The class connects business strategy, product architecture, and monetization operations in clear, practical language.
What is included with the Agentic AI course?+
Your registration includes the live session, eight case examples, a hands-on exercise, Monetizely pricing tools, lifetime access to course materials, instructor access, guided feedback, and a completion certificate.
Is the Agentic AI masterclass the same as the book?+
The masterclass is shaped by the book's ten chapters and core frameworks, but it is built as a focused live learning experience with applied examples, an exercise, and instructor discussion.
Will this help me price an Agentic AI product or feature?+
Yes. The five-step pricing framework helps you define goals, segment customers, design packaging, choose a value metric and rate structure, and operationalize the final model. The course applies this process specifically to AI agents, agentic SaaS products, and services firms moving toward agent-led delivery.
How do I choose a date?+
Select any available live session in the registration calendar. New dates will appear there as they are scheduled.
Build an agentic business that captures the value it creates
Connect product strategy to the seven-layer monetization stack—from value metrics and packaging through metering, entitlements, billing, and revenue operations.
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