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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?

Strategy and corporate planning specialists
Corporate development, transformation, and business development teams
Budgeting, planning, and performance management professionals
Teams that regularly report to senior leadership
Analyst profiles working on project, initiative, and portfolio prioritization
Decision-support teams focusing on market, competition, and growth analysis

Why This Course?

1

It accelerates and systematizes insight generation, one of the most critical needs of strategy teams.

2

It helps convert long reports, meeting notes, and fragmented inputs into executive-ready outputs faster.

3

It makes prioritization, alternative evaluation, and scenario thinking more visible and repeatable.

4

It positions generative AI as a support layer for strategic thinking rather than a simple writing tool.

5

It improves the quality of communication, reporting, and document preparation in corporate planning teams.

6

It extends AI usage beyond speed and strengthens strategic quality, structure, and governance.

Learning Outcomes

Summarize fragmented strategic information in a faster and more structured way.
Use generative AI more systematically in market, competition, and trend analysis.
Prepare executive summaries, decision notes, and planning content with higher quality.
Build AI-supported prompt frameworks for prioritization, scenario analysis, and initiative evaluation.
Apply assumption checks, verification, and reliability filters to AI outputs.
Develop a reusable AI usage standard for strategy and planning teams.

Requirements

No technical background is required
Basic familiarity with office tools and digital work environments is sufficient
Involvement in strategy, planning, reporting, or decision-support processes is beneficial
Participants are encouraged to come prepared with examples of strategic documents or internal use cases
Active participation in the workshops is expected

Course Curriculum

36 Lessons
01
Module 1: Generative AI Foundations for Strategy Teams6 Lessons
02
Module 2: Prompt Engineering and Insight Generation for Strategy Teams6 Lessons
03
Module 3: Using AI in Market, Competition, and Trend Analysis6 Lessons
04
Module 4: Scenario Analysis, Prioritization, and Initiative Evaluation6 Lessons
05
Module 5: Executive Reporting, Presentation Drafts, and Planning Documents6 Lessons
06
Module 6: Reliable Usage, Verification, and an Implementation Roadmap for Strategy Teams6 Lessons

Instructor

Şükrü Yusuf KAYA

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.

Frequently Asked Questions