Why AI changes the approach
A lower-carbon product is just a feature. AI helps you build a complete business model: pricing, distribution, customer acquisition, recurring revenue, ecosystems.
Step-by-step
- 1
Define your business model: One-time purchase? Subscription? Leasing? Licensing?
- 2
Ask AI: What pricing captures the most value while staying competitive?
- 3
Ask: How do you reach customers? Direct? Retailers? B2B channels?
- 4
Ask: Could you build an ecosystem? (complementary products, services, partnerships)
- 5
Model financials: CAC (customer acquisition cost), LTV (lifetime value), margin, payback period
Ready-to-use prompts
Adapt to your actual files and context before using.
We're launching a lower-carbon [product]. How should we price it? Direct sales, subscriptions, or leasing? What's the best business model to capture value?
I want to build a business around lower-carbon products. We have: [product 1], [product 2], [product 3]. Could we create an ecosystem that makes customers sticky? What's the play?
Output template
Business model designed, pricing validated, go-to-market plan created, financial projections built
Related scenarios
Product/Service Innovation: Data Analysis
Your products have carbon footprints across their lifecycle (materials, manufacturing, shipping, use, end-of-life).
Products & InnovationProduct/Service Innovation: Automation
Testing hundreds of product variations manually takes forever.
Products & InnovationProduct/Service Innovation: Stakeholder Engagement
Your customers might love a lower-carbon product—but only if they understand the value and it doesn't sacrifice what they care about (price, performance, aes...
Need this embedded in your team?
I run hands-on workshops that turn these scenarios into your team's default way of working.