Pricing and Packaging Generative AI in SaaS

Are you facing challenges in determining the right pricing strategy for your generative artificial intelligence (AI) features in Software-as-a-Service (SaaS)? The Generative AI Pricing and Packaging for SaaS course explores how to capture value from generative AI innovations within AWS SaaS solutions. This training addresses the fundamental shift in SaaS business models triggered by generative AI, offering frameworks to measure value, evaluate direct versus indirect monetization approaches, and design packaging for different generative AI capability types (Agents, Co-pilots, Generators, and Service as Software). Through real-world AWS partner examples, you'll learn how to balance traditional models with innovative approaches like outcome-based pricing, helping you create pricing strategies that resonate with customers while supporting sustainable business growth in this rapidly evolving market.

• Identifying suitable pricing models for generative AI features in SaaS (e.g., flat subscription, per-user, consumption-based on tokens/requests, or hybrid) and mapping them to cost structures from AWS services like Amazon Bedrock.
• Designing packaging tiers and bundles that differentiate gen AI offerings (e.g., basic vs. pro tiers with access to more powerful models, higher limits, or customization) to drive upsell and retention.
• Evaluating cost implications and value capture for gen AI workloads, including strategies to pass through or absorb variable AI inference costs while maintaining margins.
• Applying business-oriented best practices for gen AI monetization, such as competitive analysis, customer segmentation, pricing experimentation, and alignment with AWS cost tools for accurate forecasting.

• Understand key considerations for pricing generative AI in SaaS, such as handling variable costs (e.g., token-based LLM usage), customer willingness to pay, and hybrid models combining subscriptions with metered usage.
• Gain insight into effective packaging approaches that highlight gen AI value (e.g., premium tiers for advanced features like custom models or enhanced prompts) while simplifying go-to-market and reducing churn.
• Be prepared to apply these concepts to real-world SaaS products on AWS, enabling informed decisions on monetization that support sustainable business models in the generative AI era.

• 1-hour digital course content with strategic explanations, examples, frameworks, and real-world scenarios for pricing/packaging generative AI in SaaS (non-technical, business-focused; no hands-on labs).
• Foundational-level training in the SaaS domain, suitable for SaaS executives, product managers, go-to-market teams, and AWS Partners building or enhancing AI-powered SaaS solutions.
• Alignment with AWS SaaS business fundamentals and generative AI resources (complements courses like Introduction to SaaS Pricing and Packaging or broader gen AI for business).
• Certificate of completion issued.