Generative AI for Leaders & Executives

Lead with Intelligence — Build with AI. 

Generative AI for Leaders & Executives is a practical, one-day training tailored for executives in traditional industries—manufacturing, logistics, mining, and beyond. As artificial intelligence rapidly reshapes how decisions are made and work is done, this course equips business leaders to lead transformation, not follow it. Forget the theory. This session is built around actionable insights, real-world demos, and tangible outcomes. You’ll learn how to leverage AI tools like Perplexity, Julius AI, and no-code automation platforms like N8N to solve messy, real-world problems—without assuming your data is perfect. Through focused modules and a hands-on workshop, participants will explore how to:

  • Build AI-enhanced workflows even with incomplete data.
  • Create knowledge hubs from technical manuals and safety documents.
  • Identify and structure pilot projects using a proven human-in-the-loop framework.

The course concludes with a personalized discovery process to identify opportunities inside your own organization—bridging the gap between strategy and execution. This isn’t just about learning AI. It’s about using it to lead.

Instructor: Anatolii Savin, PMP, PfMP, M.S.P.M
Training Duration: 1 day
Number of Participants: 8-12 people
Language: Ukrainian or English.

Target Audience

This course is designed for decision-makers and strategic leaders across traditional industries looking to harness the potential of generative AI for operational improvement and innovation. Ideal participants include:

  • C-level executives (CEOs, CIOs, COOs) seeking a practical understanding of AI’s strategic impact.
  • Heads of operations, IT, innovation, or digital transformation tasked with modernization and efficiency.
  • Directors and department leads in manufacturing, logistics, mining, energy, transportation, and related sectors.
  • PMO leaders and program managers responsible for launching AI or digital initiatives.
  • Knowledge and compliance managers exploring AI-based knowledge systems and regulatory readiness.
  • Industrial engineers and process analysts interested in intelligent automation.
  • Change agents and internal consultants driving cultural and technological shifts in legacy environments.

This program does not require prior technical or AI expertise. It is focused on leadership-level understanding, decision-making, and initiating tangible pilot projects with confidence and clarity.

Knowledge and Skills Acquired

By the end of this one-day course, participants will leave with both a strategic understanding and practical capabilities to apply generative AI within their own organizations.

Participants will understand:

  • The fundamentals of generative AI and how it’s applied in real-world business environments.
  • Key differences between AI hype and proven industrial applications.
  • The current ecosystem of tools (e.g., Perplexity, Julius AI, N8N) and their business relevance.
  • The data realities of traditional industries — including how to work with messy, unstructured, or hybrid IT/OT data.
  • The strategic potential of AI-powered Knowledge Hubs for unlocking institutional knowledge.
  • How to evaluate readiness for AI transformation using a structured discovery framework.
  • The principles of human-in-the-loop AI — balancing automation with oversight.

Participants will be able to:

  • Identify valuable, achievable use cases for generative AI in their specific operational context.
  • Use modern AI tools to extract, organize, and retrieve insights from internal documents and manuals.
  • Design simple automated workflows using no-code tools (e.g., N8N).
  • Guide their teams in prototyping a real-world AI solution — even without technical expertise.
  • Lead internal discovery efforts using a structured questionnaire to assess AI opportunities.
  • Develop a clear, actionable AI pilot project plan, aligned with strategic goals and risk thresholds.

This course bridges the gap between AI awareness and pilot project execution — enabling leaders to start fast, scale smart, and stay in control.

Main Topics to be Covered

Module 1: Understanding Generative AI in Today’s Reality:

  • What Generative AI is (and what it is not).
  • Demo of current tools: Perplexity, Claude, Julius AI.
  • AI Agents and Chains: Introduction to LangChain and N8N.
  • Live demo: Building a mini “AI-powered assistant” for document search.

Module 2: Industrial Use Cases — Beyond the Hype:

  • Examples from logistics, energy, and mining.
  • AI for safety compliance, maintenance prediction, document summarization.
  • Challenges of messy IT/OT data — and how to work around them.
  • Live demo: Automating safety procedure lookups using AI.

Module 3: Strategic Value Through AI Knowledge Hubs:

  • Turning unstructured documents (manuals, safety guides) into knowledge assets.
  • AI as a gateway to institutional memory.
  • Tools and frameworks for AI-based Knowledge Hubs.
  • Live demo: Indexing and querying a technical manual with GPT + N8N.

Module 4: Discovering Opportunities in Your Organization:

  • Guided walkthrough of a Discovery Questionnaire.
  • Mapping data flows, knowledge gaps, and automation bottlenecks.
  • Identifying high-value, low-risk pilot ideas.
  • Output: Draft of organizational AI readiness map.

Module 5: From Strategy to Action — Building Your Pilot Project:

  • Human-in-the-loop framework for ethical and practical implementation.
  • Workshop: Plan your pilot project.
  • Define roles, tools, data, and expected outcomes.
  • Output: One-page Pilot AI Project Business Case.

Deliverables

Each participant will leave the training with a set of high-value resources designed to ensure practical application and continuity after the course ends:

1. Discovery Questionnaire Template

A structured tool to help leaders systematically assess where generative AI can add value within their organization. It guides exploration across operations, data readiness, knowledge gaps, and automation opportunities — forming the backbone for internal ideation and alignment.

2. Pilot Project Planning Toolkit

A step-by-step workbook with templates and examples to help design and document a viable pilot project:

  • AI use case scoping canvas.
  • Human-in-the-loop design checklist.
  • Stakeholder mapping and data readiness guide.
  • Risk identification prompts for industrial settings.
  • Outcome mapping and ROI estimation model.

3. Post-training Executive Consultation (optional; not included in the price)

Participants receive access to a follow-up 1-on-1 consultation with the trainer to:

  • Review the results of the Discovery Questionnaire.
  • Refine the selected AI use case.
  • Validate or iterate the draft pilot plan.
  • Discuss next steps toward organizational alignment and delivery.

4. Resource Access Pack

  • Curated list of recommended tools and platforms (free and commercial).
  • Guide to low-code/no-code automation with platforms like N8N.
  • Sample workflows and AI-agent chains relevant to traditional industries.
  • Demo materials from the training sessions (videos, slides, prompts).

5. Certificate of Completion

Digital certificate verifying the participant’s practical readiness to initiate generative AI use cases within their organization.

Booking the Training

To book the training and for additional consultation, visit CONTACTS: PMDoc.ua/Contacts. For training customization and detailed information about the content, please contact instructor Anatolii Savin: