Leveraging AI

4 min read

Using AI to Enhance, Not Replace, Structured Problem Solving and Decision-Making

The Opportunity and the Responsibility

Artificial Intelligence (AI) is transforming the way we work, learn and create value.

It offers the ability to gather information faster, generate options more quickly and assist with drafting, analysis and visualization. Used well, it can significantly accelerate outcomes and broaden thinking.

However, AI is not a substitute for human leadership, judgment or structured problem-solving.

It cannot know your goals, your priorities, your context or your stakeholders unless you define them.

It cannot frame the right questions, select the right criteria or make sound decisions. That remains your responsibility.

To use AI effectively, you must

• Clearly frame the problem you are solving.
• Know what questions to ask and what insights to seek.
• Apply critical thinking to validate, interpret and adapt AI-generated outputs.
• Lead the process, from framing to final action, with discipline and clarity.

AI can speed up much of this work, but human thinking, human values and human leadership will continue to define success. The guidance below will help you apply AI intelligently, as an accelerator rather than a crutch, as you drive real-world impact.

How to Combine Structured Methods with AI

Define the objective, then refine it with AI

Frame the problem using a guide or template, then use AI to stress-test scope, sharpen questions or uncover overlooked dimensions.

Example: Before starting a DILO Analysis, Stakeholder Map or Risk Management Plan, use AI to refine what questions to ask, how broad or narrow your focus should be and which variables to consider.

Accelerate research, preparation and documentation

AI can assist by gathering information, summarizing inputs, suggesting options or drafting early-stage outputs.

Example: When applying a SWOT, PEST or Porter's Five Forces framework, AI can provide market scans, competitor lists or macro trend summaries.

Stress-test thinking and generate alternative views

Ask AI to propose counter-scenarios, alternative hypotheses, hidden risks or new perspectives.

Example: When building a Benefits Case or Strategic Workforce Plan, AI can suggest potential risks or scenarios, but you decide which matter.

Keep ownership of interpretation, sequencing and decision-making

AI highlights possibilities. You validate them against strategic goals, practical realities, stakeholder needs and cultural nuances.

Example: In a Stakeholder Management Plan or RACI Analysis, AI can generate role maps, but only you can judge influence, sensitivity and alignment.

Lead execution, communication and action

AI can support documentation and visualization, but human leadership is critical to facilitate decisions, align teams and drive results.

Example: After a Collaborative Process Mapping or Problem-Solving session, AI can help draft summaries, but you must define next steps and accountability.

Key Reminders

AI can help from problem framing through to execution support, but structured thinking, critical judgment and leadership must always lead.

Use structured methods to anchor your thinking, and AI to expand, accelerate and stress-test it.

Always validate outputs against context, strategic goals and stakeholder realities.

Quick Application Guide

Problem definition

• How AI supports: suggests questions, dimensions and scoping considerations.
• Your role: frame the real issue clearly and set success criteria.

Research and preparation

• How AI supports: gathers information and drafts early frameworks.
• Your role: prioritize, validate and refine.

Analysis and options

• How AI supports: highlights risks and generates alternatives.
• Your role: apply judgment and test feasibility.

Documentation and communication

• How AI supports: drafts summaries, visuals and reports.
• Your role: own the messaging and drive decisions and actions.

Example AI Interactions by Level

Beginner: light assistance

Focus: save time, summarize and suggest basic ideas.

• "Suggest 5 questions to help define the problem for a stakeholder management project."
• "Summarize key trends affecting customer experience for a PEST Analysis."
• "Draft a basic Stakeholder Map based on a list of stakeholders."
• "Create a list of risks for a basic project benefits case."

Intermediate: enhanced exploration

Focus: test assumptions, explore alternatives and simulate scenarios.

• "Identify potential blind spots in this SWOT analysis [paste draft]."
• "Suggest 3 alternative ways to structure a RACI chart for a cross-functional project."
• "Propose counter-arguments to these benefits in a Benefits Case [paste list]."
• "Simulate a customer journey based on this Voice of the Customer data."

Advanced: strategic partnering

Focus: stress-test strategy, synthesize insights and co-create drafts.

• "Test different strategic hypotheses for improving organizational culture based on these inputs [paste points]."
• "Critique this OGSM strategic plan draft. Where are the weak points?"
• "Based on these Five Whys findings, propose deeper root causes I might have missed."
• "Create a comparative risk matrix for two workforce planning strategies."

Final Principle

AI is your thinking partner, not your decision-maker. Real impact comes from structured thinking, sound judgment and human leadership.