How to effectively learn AI Prompting, with the 'AI for Directors of Strategy (Prompt Course)'?

Start Fast, Think Bigger: A practical AI course for Strategy Leaders ready to turn analysis into action

Course overview

AI for Directors of Strategy (Prompt Course) is a comprehensive, hands-on program that shows senior strategy leaders how to use AI systems and ChatGPT-style assistants to produce sharper insights, clearer choices, and faster execution. The course is built around a set of reusable prompts and workflows that reflect the full strategy lifecycle-from market analysis and competitive intelligence to portfolio decisions, financial implications, stakeholder communication, and ongoing risk and sustainability considerations.

Rather than adding more theory, this course focuses on repeatable strategic workstreams. You will learn how to guide AI to structure data, surface patterns, test assumptions, and present outputs in formats your executive team, board, and frontline leaders can use immediately.

What you will learn

• How to orchestrate AI across core strategic domains: market analysis, competitor benchmarking, SWOT, forecasting, scenario planning, product positioning, stakeholder communication, strategic roadmapping, M&A analysis, talent development strategy, risk management, brand strategy formulation, customer segmentation, innovation strategy, financial modeling, and sustainability strategy.
• How to convert ambiguous questions into clear AI tasks that produce actionable outputs, not generic summaries.
• How to increase decision quality by requesting structured comparisons, assumptions, and sensitivities that highlight trade-offs and risks.
• How to combine qualitative and quantitative inputs so AI can synthesize evidence, logic, and narrative into aligned recommendations.
• How to fine-tune tone, level of detail, and format for executives, operating leaders, customers, investors, and partners.
• How to build an iteration habit: set a baseline, test alternatives, stress-test, and refine toward a decision-ready deliverable.
• How to uphold confidentiality, compliance, and ethical use while still benefiting from AI acceleration.

How the prompts fit together

The course is intentionally modular so you can enter at any point and still get value, but it is also designed as an end-to-end system. Each module connects to the next, with outputs feeding downstream steps and looping back for refinement as new information emerges.

• Sensing: Market analysis and competitor benchmarking establish context and momentum, pointing to where value is moving and how rivals are responding.
• Framing: SWOT and customer segmentation clarify where you can win and why, guiding prioritization and positioning choices.
• Choosing: Forecasting and scenario planning translate choices into numbers and ranges, exposing upside, downside, and triggers.
• Shaping: Product positioning, brand strategy, and innovation strategy transform choices into differentiated value propositions and agendas.
• Committing: Strategic roadmapping, financial modeling, and risk management set timelines, resources, thresholds, and contingencies.
• Scaling: Talent development and stakeholder communication align people, incentives, and narratives, turning plans into coordinated action.
• Future-proofing: Sustainability strategy and M&A analysis expand optionality while maintaining credibility with regulators, investors, and communities.

The result is a cohesive approach that gives you clarity at each step while maintaining traceability from initial insight to board materials and execution plans.

Using the prompts effectively

• Define intent: Specify the decision, the audience, and the timeframe. AI performs best when the ask is grounded in a business outcome.
• Provide meaningful inputs: Offer relevant data, constraints, KPIs, and context (industries, geographies, customer segments, brand guardrails). Better inputs produce better outputs.
• Set output formats: Request structured outputs such as summaries, matrices, scorecards, timelines, financial tables, or risk registers that you can share or plug into planning tools.
• Tune tone and altitude: Direct the AI to produce executive-ready briefs, working-level plans, or technical deep dives, and set length limits where needed.
• Iterate with purpose: Start with a baseline, then ask for alternatives, sensitivities, and what would change the recommendation. Use side-by-side comparisons to accelerate judgment.
• Validate rigor: Ask for assumptions, data sources, and potential blind spots. Cross-check against your own data, expert input, and external benchmarks.
• Guard confidentiality: Use redaction or synthetic data where appropriate, and follow your organization's AI governance policies.
• Co-create with your team: Use prompts in workshops to align on definitions, criteria, and trade-offs. Capture decisions and rationale as you go.
• Connect to your workflow: Export outputs to spreadsheets, planning decks, BI tools, or PMO systems. The prompts are built to produce copy-paste friendly assets.
• Timebox: Set limits for each round (e.g., 15 minutes per iteration) to keep momentum and avoid diminishing returns.

What the course includes

Each module provides a structured approach for the strategic task it covers. You will find:

• Clear framing on the job-to-be-done and where AI can save time or improve quality.
• Reusable prompt frameworks that guide AI to produce consistent, decision-ready outputs across teams and quarters.
• Output checklists that help you evaluate completeness, clarity, and logical coherence.
• Red flags and quality controls to spot overreach, bias, and gaps in evidence.
• Tips for adapting to your sector, company maturity, and operating model.
• Short practice activities so you can apply the methods to your current priorities.

How this course supports real strategic work

Most strategy teams struggle with two tensions: breadth versus depth, and speed versus rigor. This course helps you manage both. AI accelerates low-value steps (reformatting, initial syntheses, first drafts), while the prompts focus attention on higher-value steps (choices, trade-offs, narrative coherence). You retain control of judgment, and you gain more time for stakeholder alignment and execution planning.

By bringing the full set of strategic domains into one course-market and competitor views, internal capabilities, financials, risk, people, brand, customers, innovation, sustainability, and M&A-you can maintain a single line of sight from insight to implementation. This reduces handoffs, inconsistencies, and rework across planning cycles.

Benefits you can expect

• Time savings: Many teams report meaningful reductions in prep time for briefings, options analyses, and board materials.
• Better comparisons: Side-by-side alternatives and explicit assumptions make trade-offs clearer and more defensible.
• More credible plans: Outputs link qualitative logic to quantitative implications, including sensitivities and risks.
• Aligned teams: Consistent templates and language improve cross-functional coordination and decision cadence.
• Faster adaptation: Scenario logic and trigger points help you update plans as conditions change-without starting from scratch.
• Stronger narratives: Stakeholder-specific messaging translates strategy into commitments and next actions people can follow.

Who should take this course

Directors of Strategy, Heads of Corporate Development, Strategy and Operations leaders, PMO leads, and senior managers supporting executive planning cycles. If your work involves turning insight into choices, and choices into plans people can execute, this course will fit your day-to-day needs.

How quality and ethics are handled

The course reinforces responsible use. You will learn practical ways to:

• Protect confidential information and align with internal AI policies.
• Spot bias and weak evidence, and request balanced perspectives.
• Declare assumptions and uncertainties to avoid false precision.
• Maintain human oversight over key judgments and commitments.

Capstone application

To pull everything together, the course guides you in assembling a decision-ready strategic package. You will move from market and competitor insight through prioritization, financial implications, risk and scenario logic, resource plans, and stakeholder messaging-producing coherent materials that link analysis, choice, and execution. This capstone reinforces an integrated way of working you can reuse each quarter and each planning cycle.

Why this course stands out

• It speaks the language of strategy leaders: decisions, trade-offs, sequences, and commitments.
• It is practical: templates and workflows mirror the documents and conversations you already manage.
• It is complete: it integrates all major strategic domains so nothing critical is left out.
• It respects your judgment: AI supports the work; you make the calls.

Getting started

You can begin with the module that matches your current priority-market analysis ahead of a planning cycle, competitor benchmarking for an executive offsite, scenario planning for board prep, or roadmapping to align functions-and then expand to adjacent modules as needed. Each section stands on its own while building toward a unified strategy toolkit you can use across the year.

By the end, you will have a dependable way to guide AI through the entire strategy process-producing structured, credible, and shareable outputs that help your leadership team make decisions with confidence and move faster from intent to impact.