01
The economics
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.RevenueCOGSOperating model
Live online masterclass
Monetizing Agentic AI
How to price work, outcomes, and autonomy—not just software access.
A practical masterclass for leaders building agent-native products, transforming SaaS, or turning services expertise into scalable agentic businesses.
- 10book chapters informing the class
- 3AMS decision dimensions
- 7monetization stack layers
MonetizelyNEW BOOKMONETIZING
AGENTIC AIAjit Ghuman & Akhil Gupta
AGENTIC AIAjit Ghuman & Akhil Gupta
- 01
Price the work Move beyond the seat
- 02
Protect the margin Design for variable COGS
- 03
Build the system Operationalize the model
The central shift
Agentic AI is not SaaS with a smarter feature.
Traditional software helps a person do the work. Agentic AI increasingly performs the work itself. That changes the budget you sell into, the costs you carry, the value you can capture, and the infrastructure needed to collect it.
“The metric is the decision.
This masterclass gives you a structured way to make that decision—without defaulting to seats, tokens, or outcome-based pricing just because the market is talking about them.
From chapter one
Same top line. A fundamentally different cost structure.
The book's illustrative $10M comparison shows why gross margin alone misses the agentic story. The larger shift sits below it: a leaner operating structure can change the bottom line even while inference adds cost.
- Software and labor budgets create different revenue ceilings.
- Inference makes COGS a product and pricing decision.
- The operating model—not just gross margin—shapes the result.
A core book framework
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
PredictablePer seat / access
BalancedHybrid / usage
Value alignedOutput / 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?
Three frontier cases
The five-step foundation
Curriculum at a glance
One live session. Four connected learning arcs.
A focused path from the economics of agentic AI to the systems that make its monetization real.
02
The moat
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.HarnessMemoryIntegration
03
The pricing decision
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.5-step frameworkAMSHybrid pricing
04
The operating system
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.MeteringEntitlementsBilling
Leave with clarity
What you’ll be able to do
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.
Built for application
Everything included in your registration
- 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
Who it’s for
For the people making the model real
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.
Meet your instructors
Strategy and engineering, in one room
The commercial and technical perspectives needed to turn an AI capability into an operating business model.
Pricing strategy
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 on pricing strategy.AGMONETIZELY
Monetization engineering
Akhil Gupta
Co-Founder & COO/CTO, Monetizely
Engineering leader with more than 16 years of experience building and scaling web-scale, high-throughput enterprise applications and teams. Akhil has led technology teams at FabAlley, BuildSupply, and Healthians.Voices from the field
The operational pressure is already here.
Anonymous industry perspectives quoted in the book from Metronome's 2025 AI Pricing Field Report. These are not student testimonials.
01“We're monetizing to avoid eating $10,000 of costs on a $500 plan.”
02“The product team wanted to include AI features in the core plan. Finance said: 'Not unless you want to blow up margins.'”
03“Seat overages are foregone revenue. AI overages are real money we have to eat.”
Questions, answered
Before you join
The live calendar in the registration card always shows the current available sessions.
View live datesIs this one live masterclass or a multi-session course?
It is one interactive, three-hour live online masterclass. The material is organized into four connected learning arcs inside that single session.
Who is this masterclass for?
It is designed for founders, SaaS and AI executives, agency leaders, product managers, product marketers, pricing leaders, and the engineering or finance teams responsible for monetization.
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?
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 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.
How do I choose a date?
Select any available live session in the registration calendar. New dates will appear there as they are scheduled.
Don’t leave the model to chance