Agentic AI represents a fundamental shift in artificial intelligence capabilities. Unlike traditional AI workflows, agentic AI systems possess a degree of autonomy and self-direction that allows them to act as 'agents' pursuing goals with minimal human intervention.

How do you price Agentic AI SaaS with variable costs?

Pricing Agentic AI SaaS requires creating sustainable models when underlying costs are highly variable and tied to usage. Unlike traditional software where marginal costs approach zero, Agentic AI introduces ongoing, fluctuating expenses that must be carefully managed in pricing strategy.

What is Agentic AI Pricing about?

Agentic AI Pricing is a publication by Monetizely's experts covering pricing strategies for AI agents, Agentic AI systems, and AI-powered SaaS products. We provide insights on managing variable costs, AI monetization, and navigating the evolving landscape of AI pricing.

Who writes for Agentic AI Pricing?

Content is created by Ajit Ghuman (CEO) and Akhil Gupta (COO/CTO), co-founders of Monetizely, a B2B SaaS and AI pricing consultancy specializing in Agentic AI pricing strategies.

pricing ops ai

ai pricing maturity model

The AI pricing maturity model for SaaS companies

The transformation of SaaS pricing strategies has accelerated dramatically in the age of agentic AI, forcing companies to rethink how they capture value from increasingly autonomous software systems. Yet many organizations struggle to understand where they stand in their pricing evolution—and more critically, how to advance systematically toward more

pricing ownership

Who should own AI pricing after launch?

The launch of an agentic AI product represents a pivotal moment for any organization, but what happens after the champagne bottles are emptied and the launch team disperses? One of the most critical yet frequently overlooked questions emerges: who should own AI pricing after launch? This question carries enormous weight