Product/Service Innovation: Risk Identification & Mitigation.

Launching a lower-carbon product comes with risks: it might underperform, customers might not pay the premium, supply chain disruptions could delay launch. AI helps you identify and mitigate these risks.

1. 1

   List all risks: Technical (will it work?), market (will customers buy?), supply chain (can we get materials?), financial (is it profitable?), competitive (will competitors match?)

2. 2

   For each, ask AI: How likely? How bad if it happens? What's your mitigation?

3. 3

   Build scenarios: Best case, likely case, worst case—what's the outcome in each?

4. 4

   Create contingency plans: If X happens, what's our Plan B?

5. 5

   Set kill-switch criteria: Under what conditions do we cancel the launch?

Adapt to your actual files and context before using.

We're launching a lower-carbon product with a new manufacturing process. What are the top risks? For each, what's the likelihood? What's my mitigation strategy?

This product costs 15% more to manufacture but we're betting customers will pay 8% premium. What if they don't? What if demand is 50% below forecast? Model scenarios and tell me our break-even point.

Risks identified, scenarios modeled, mitigations designed, launch gates set