Co-Founder & CEO
Ajit is the author of Price To Scale, a top book on SaaS Pricing and is the Founder of Monetizely. Ajit has led and worked in pricing and product marketing at firms like Twilio, Narvar and Medallia. His work has been featured in Forbes and VentureBeat. Ajit regularly consults with software companies from Seed stage to post-IPO on pricing strategy. Ajit is also a highly-rated co-instructor for 'The Art of SaaS Pricing and Monetization' on Maven.
In todays interconnected global economy, pricing AI solutions across different markets presents both significant opportunities and complex challenges. Companies must navigate a delicate balance...
For a broader perspective on how AI pricing evolves from early-stage to maturity, our analysis on the evolution of pricing - agentic AI vs traditional software licensing models provides valuable...
In todays rapidly evolving AI landscape, finding the optimal price point for your solution can mean the difference between market leadership and obscurity. As AI technologies become more...
### Usage-Based Evolution This model adapts pricing based on actual usage patterns, aligning costs with delivered value as AI capabilities scale. **Testing Framework -** 1. **Define meaningful usage...
The AI agent marketplace landscape is rapidly evolving, creating new opportunities for platforms that connect AI agent developers with customers. As these ecosystems mature, innovative pricing and...
In todays rapidly evolving landscape of artificial intelligence, developing pricing strategies for AI solutions in regulated industries presents unique challenges and opportunities. Healthcare and...
In todays rapidly evolving AI landscape, organizations implementing AI agents face a critical decision point - how to price the initial training and setup phase that precedes full deployment. This...
## Practical Financial Evaluation Tools for AI Agent Investments Beyond conceptual frameworks, CFOs need practical tools to evaluate AI agent investments. These tools help translate theoretical...
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Across all tiers, the human element remains essential to effective AI agent support. While autonomous systems can handle routine inquiries, human expertise becomes increasingly critical as issues...