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Manny Medina, co-founder of Outreach, shares strategies for monetizing AI agents in enterprise software. He highlights the challenges companies face in pricing AI products compared to traditional SaaS models. Key approaches include bundling, consumption-based pricing, and outcome-based pricing, each with distinct advantages and drawbacks.
Medina emphasizes the importance of aligning pricing with customer value, suggesting that many companies start with simpler models before evolving to more complex strategies. Success-based pricing is also discussed as a way to differentiate in the market, though it requires careful implementation. Ultimately, the journey of monetizing AI agents involves iterating on pricing strategies to reflect the real value delivered to customers.
• Monetizing AI agents involves various pricing strategies with unique challenges.
• Success-based pricing aligns costs with customer achievements for better value perception.
AI agents are software programs that perform tasks autonomously, often enhancing business processes.
This pricing model ties costs to measurable results, making value clearer to customers.
Success-based pricing connects costs to high-value achievements, requiring complex implementation.
Outreach is a sales automation software company that has raised significant funding and focuses on AI integration.
Salesforce is a leading CRM platform that has adopted outcome-based pricing for its AI solutions.
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