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.

ai platform pricing

byom pricing

Pricing AI products with bring-your-own-model options

The bring-your-own-model (BYOM) capability represents one of the most strategically significant developments in enterprise AI infrastructure, fundamentally reshaping how organizations approach AI adoption, vendor relationships, and total cost of ownership. As enterprises increasingly demand flexibility and control over their AI implementations, BYOM has emerged as a critical

platform fee pricing

When to separate platform fees from model consumption fees

The distinction between platform fees and model consumption fees represents one of the most consequential pricing architecture decisions facing agentic AI companies today. As autonomous AI systems reshape enterprise software economics, executives must navigate increasingly complex questions about how to structure revenue models that align with both customer value perception