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.

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minimum platform fee

The role of minimum platform fees in API-first AI businesses

The strategic implementation of minimum platform fees represents one of the most consequential yet underexamined decisions facing API-first AI businesses today. As the AI API market accelerates toward a projected $1,033 billion valuation by 2035—growing at a compound annual rate of 31.91% from its current $85.43

annual contracts ai

How to sell annual contracts for variable-usage AI products

The challenge of marrying predictable annual contracts with inherently variable AI consumption patterns represents one of the most complex pricing puzzles facing enterprise software vendors today. As organizations increasingly integrate agentic AI capabilities into their operations, the traditional subscription model that dominated SaaS for two decades confronts a fundamental mismatch: