This course prepares strategy leaders and senior managers to use artificial intelligence as a support for strategic thinking. It covers how AI can assist market sensing, competitive analysis, scenario work, and the testing of strategic options, and where the formulation of strategy must remain a leadership responsibility.
Participants learn to direct AI-supported strategic analysis, judge the quality of its outputs, and integrate useful insight into the strategy process without treating a tool as the strategist. The emphasis is on strategy choices the organisation owns. The course supports responsible use of AI in strategy work. It is not a technical machine-learning course, and it does not teach methods for misrepresenting markets, competitors, or the strength of a strategy.
1. What strategy work requires: choices, trade-offs, and commitment
2. Where AI can assist: sensing, synthesis, option comparison, and monitoring
3. Where AI should not decide: purpose, risk appetite, and final strategic choice
4. Limits of pattern-based tools in novel or political environments
5. Accountability for strategic conclusions
6. Workshop: Mapping a strategy cycle and marking the steps where AI support is appropriate
1. Framing a strategic question for assisted analysis
2. Market, customer, technology, and regulatory signals
3. Competitor and industry synthesis
4. Distinguishing a sourced insight from an unsupported summary
5. Data and information the organisation may use
6. Workshop: Defining one strategic sensing question and the evidence standard for the answer
1. Testing the assumptions in a current strategy
2. Using AI support to develop and stress scenarios
3. Generating strategic options without accepting them uncritically
4. Criteria: advantage, feasibility, risk, and fit with capability
5. What would make an option fail
6. Workshop: Stress-testing one strategic assumption and comparing two options against stated criteria
1. Over-confidence, omission, and inherited bias in AI-assisted strategy work
2. When specialist or human intelligence must override the tool
3. Confidentiality of strategy documents and competitive information
4. Recording what was AI-assisted and what leadership decided
5. Avoiding strategy that is only a polished restatement of public material
6. Workshop: Reviewing a sample strategic brief and deciding what to accept, qualify, or discard
1. Choosing one strategic use case for a pilot
2. Success measures and stop rules
3. Roles: strategy owner, analysts, and users of the tool
4. Integration with the existing planning calendar
5. Capability the strategy team needs
6. Capstone: Present an applied-AI strategy proposal covering the strategic question, the use of AI, the review rules, confidentiality controls, and the pilot
Training a team? Request private delivery at your workplace or online, tailored to your priorities. We’ll confirm the scope, dates and fees in your proposal.
Tell us what your organisation needs. The Komatek Academy team can discuss group pricing, preferred dates, delivery format and tailored course content.
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