Stress-Test Strategy With Scenarios and Contrarian Views

A plan built around one expected future is fragile. Scenario work helps leaders identify signposts, no-regret moves, reversible bets, and assumptions that deserve monitoring. This decision connects to Build an AI Strategy That Starts With Business Value and Turn Company Priorities Into an AI Opportunity Portfolio, which provide the strategic direction and portfolio context. Use this four-part leadership framework Critical uncertainties — Select two forces that are both important and genuinely uncertain. Distinct scenarios — Create plausible combinations, not optimistic, base, and pessimistic copies. Strategic test — Evaluate customers, economics, operations, competitors, talent, and risk in each world. Signposts and options — Define indicators, no-regret moves, hedges, and trigger-based decisions. A practical decision example A software company tests its AI strategy against rapid regulation, price collapse, a major platform shift, and customer distrust. It keeps investments that work across scenarios and gates irreversible commitments. This is a hypothetical example; use your own baseline, constraints, and evidence. Evidence, governance, and responsible use Use the NIST AI Risk Management Framework to connect the initiative to governance, context, measurement, and ongoing management. The companion NIST AI RMF Playbook turns those functions into questions leaders can assign and review. The GAO AI Accountability Framework is useful for examining governance, data, performance, and monitoring across the system life cycle. Compare the plan with the OECD AI Principles, particularly transparency, robustness, accountability, and respect for people affected by the system. For generative AI, review the NIST Generative AI Profile and test representative cases using OpenAI’s evaluation guidance. Use the OWASP Top 10 for LLM Applications to discuss application threats before a model can access sensitive information or take actions. Check performance statements against the FTC’s guidance on AI claims, and review information handling with the FTC’s privacy and security resources. For a broader organizational management approach, study the ISO/IEC 42001 overview. Take this to the next leadership meeting Run a pre-mortem: imagine the strategy failed in two years. List causes, leading indicators, current assumptions, preventive action, contingency, and owner. Record the owner, evidence source, decision date, and what would cause the company to stop. The goal is not to make the document look complete. The goal is to make the next decision explicit, measurable, and accountable. Continue with Scale One Successful AI Capability Across the Business. Use Run a Quarterly AI Portfolio Review: Keep, Fix, Scale, or Stop to revisit the decision with current evidence.