Generative AI Training for Strategy and Corporate Planning Teams
A practical training program that enables strategy and corporate planning teams to use generative AI more effectively in insight generation, scenario analysis, prioritization, executive summaries, and strategic planning processes.
About This Course
Detailed Content (EN)
This training is designed to help strategy and corporate planning teams use generative AI in a more conscious, systematic, and higher-value way. The core goal is to position AI not simply as a text-generation tool, but as a decision-preparation infrastructure that helps strategy teams working under heavy information load structure thinking, clarify priorities, surface alternatives, and deliver stronger strategic outputs to leadership.
Throughout the program, participants learn the foundations of AI and large language models, identify the most relevant use cases for strategy functions, and develop effective prompt engineering practices. They also work on directly relevant applications such as market analysis, competitive intelligence, trend scanning, strategic report summarization, executive summary extraction, scenario generation, risk-opportunity mapping, initiative prioritization, and planning-document structuring.
A key strength of the program is its focus on real strategy-team pain points: connecting fragmented inputs, separating signal from noise, turning long documents into short action-oriented outputs, identifying new growth areas faster, comparing initiatives under a shared framework, and making planning meetings more productive. The training provides structured AI usage patterns for each of these problems.
The program also puts quality and security at the center. Participants learn how to verify outputs, challenge assumptions, detect unsupported generalizations, reduce over-reliance risks, protect sensitive corporate information, and define the right role of human judgment in AI-assisted strategic work.
By the end of the training, participants are able to make AI usage in strategy and planning more institutional, consistent, and repeatable. They also build practical prompt templates and working frameworks for insight generation, report preparation, strategic summarization, prioritization, and executive presentation support.
Who Is This For?
- Strategy and corporate planning teams
- Corporate development, transformation, and business development professionals
- Performance management, budgeting, and planning teams
- Analysts and specialists who report to senior management
- Teams evaluating initiatives, project portfolios, and growth opportunities
- Decision-support units that work heavily on analysis and synthesis
Highlights (Methodology)
- Use cases tailored to the real workflows of strategy teams
- Applications focused on reports, presentations, trend analysis, competitive intelligence, and planning documents
- Live demos, hands-on prompt workshops, and executive-output-oriented examples
- A holistic structure that combines insight generation and decision preparation
- Verification, assumption checking, and quality-filter thinking
- A reusable prompt-library mindset for internal strategy teams
Learning Gains
- Turn fragmented information into strategic insight faster
- Use AI more systematically in market, competition, and trend analysis
- Prepare executive summaries, decision notes, and presentation content more efficiently
- Apply AI-supported frameworks in prioritization, scenario analysis, and initiative evaluation
- Use verification and reliability discipline when working with AI outputs
- Develop a more sustainable and standardized AI usage approach inside strategy teams
Frequently Asked Questions
- Does this training require technical knowledge? No. The training is designed for strategy and planning teams and focuses on business value and decision preparation rather than technical depth.
- Is the focus more on analysis or on content generation? The training covers both, but its primary focus is strategic insight generation, prioritization, and decision preparation.
- Can it be customized to fit our planning processes? Yes. It can be tailored to annual planning cycles, OKR/KPI structures, portfolio management, or executive reporting needs.
- Does the program produce tangible outcomes? Yes. Participants leave with prompt sets and practical frameworks for strategic summarization, comparison, scenario analysis, and planning-document support.
Training Methodology
Use cases directly aligned with the daily workflows of strategy and planning teams
A practical structure focused on insight generation, report summarization, scenario analysis, and executive communication
A results-oriented approach that supports strategic thinking rather than technical depth
Practical AI frameworks for alternative comparison, prioritization, and decision preparation
A reliable usage model supported by verification, assumption checking, and quality filters
Reusable prompt sets and working templates for internal strategy teams
Who Is This For?
Why This Course?
It accelerates and systematizes insight generation, one of the most critical needs of strategy teams.
It helps convert long reports, meeting notes, and fragmented inputs into executive-ready outputs faster.
It makes prioritization, alternative evaluation, and scenario thinking more visible and repeatable.
It positions generative AI as a support layer for strategic thinking rather than a simple writing tool.
It improves the quality of communication, reporting, and document preparation in corporate planning teams.
It extends AI usage beyond speed and strengthens strategic quality, structure, and governance.
Learning Outcomes
Requirements
Course Curriculum
36 LessonsInstructor

Şükrü Yusuf KAYA
AI Architect | Enterprise AI & LLM Training | Stanford University | Software & Technology Consultant
Şükrü Yusuf KAYA is an internationally experienced AI Consultant and Technology Strategist leading the integration of artificial intelligence technologies into the global business landscape. With operations spanning 6 different countries, he bridges the gap between the theoretical boundaries of technology and practical business needs, overseeing end-to-end AI projects in data-critical sectors such as banking, e-commerce, retail, and logistics. Deepening his technical expertise particularly in Generative AI and Large Language Models (LLMs), KAYA ensures that organizations build architectures that shape the future rather than relying on short-term solutions. His visionary approach to transforming complex algorithms and advanced systems into tangible business value aligned with corporate growth targets has positioned him as a sought-after solution partner in the industry. Distinguished by his role as an instructor alongside his consulting and project management career, Şükrü Yusuf KAYA is driven by the motto of "Making AI accessible and applicable for everyone." Through comprehensive training programs designed for a wide spectrum of professionals—from technical teams to C-level executives—he prioritizes increasing organizational AI literacy and establishing a sustainable culture of technological transformation.
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