Meets live online, 9am-3pm ET; featuring award-winning instructor and long-time KM expert, John Hovell.

‍Contact us today for a quote, or scroll down for registration.

This workshop is designed for Knowledge Management professionals and practitioners who want to move beyond traditional knowledge capture and repositories to explore how AI can transform knowledge transfer, retention,
and organizational learning.

Introduction (Why we need this)

The Knowledge Transfer Program ensures that unique and critical knowledge/capability is not lost during retirements or other workforce related changes (e.g. promotions, mergers and acquisitions, divestitures, job rotations, attrition, etc.). The four-step Knowledge Transfer process (one of the 4 processes we cover) is award-winning and externally validated.  And, it comes with a financial calculation for Return-On-Investment for organizations seeking that important metric.

Audience

Knowledge Managers and KM Practitioners seeking practical ways to integrate generative, semantic, and agentic AI into their KM strategies and initiatives.
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‍Knowledge Transfer and Retention Specialists responsible for preserving critical organizational knowledge, supporting succession planning, and reducing knowledge loss.
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‍Organizational Learning and Development Professionals interested in accelerating learning, strengthening human capabilities, and enabling knowledge sharing through experience and practice.
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‍Community of Practice Leaders and Facilitators looking to use AI to enhance dialogue, collective sensemaking, collaboration, and knowledge flow.
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‍KM Strategists, Consultants, and Transformation Leaders designing human-centered, AI-enabled knowledge ecosystems that connect people, processes, and technology.No programming or advanced technical expertise is required. Participants should bring curiosity, a willingness to experiment, and ideally a real-world knowledge transfer challenge to explore throughout the workshop.
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Learning Objectives

• Understand the evolving role of AI in Knowledge Management. Differentiate between generative, semantic, and agentic AI and identify how each can support knowledge transfer, retention, and collective intelligence.
• Address explicit, tacit, and implicit knowledge. Recognize the different ways knowledge exists, flows, and evolves, and design AI-enabled approaches that support knowledge sharing through conversation, experience, reflection, and practice.
• Apply AI to real-world knowledge transfer challenges. Use AI to support expert knowledge discovery, succession planning, onboarding, mentoring, lessons learned, and knowledge continuity.
• Facilitate AI-enhanced knowledge conversations. Design and experience human–AI interactions that surface expertise, reveal assumptions, connect perspectives, and stimulate collective sensemaking and learning.
• Design human-centered AI knowledge ecosystems. Apply a people–process–technology framework to develop knowledge transfer approaches at the individual, interpersonal, team, and organizational levels.
• Build and test practical AI-enabled KM solutions. Experiment with accessible AI tools to prototype knowledge transfer workflows, expert inquiry assistants, semantic knowledge connections, learning companions, or AI-supported collaborative processes.
• Evaluate opportunities, limitations, and risks. Make informed decisions about AI participation, human judgment, trust, privacy, knowledge quality, governance, and organizational readiness.
• Develop an actionable implementation plan. Leave with a practical AI-enabled knowledge transfer prototype, reusable tools and techniques, and a 30-day roadmap for applying the learning within their organization.

Note: Past Grads (CKM/CKS) may bypass the "KM Foundation" portion and start with the Master Class for Knowledge Transfer.
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Part 1: Take the "KM Foundation" online course (10 hours) and Exam
‍Part 2: Take the 2-day "Master Class" and learn with your peers; take Exam

Upon successful completion of both exams, you will earn your new CKS Certification in Knowledge Transfer

[click "PDF" for Course Overview and Agenda on page 3]

‍"KM Foundation" online course is the core for all KMI Certification students.  You do not need to finish "KM Foundation" before starting the Master Class.

Meet Your Instructor - John Hovell

John Hovell has been practicing knowledge management for nearly 20 years and has
held KM leadership positions for such leading organizations as BAE Systems, Lockheed Martin, and ManTech.

He holds multiple degrees in Management Science and Information Technology.  He earned his Organisation Development certification through National Training Laboratories (NTL) in Oxford, United Kingdom in 2016.  He earned his Project Management Professional certification in 2008. John has also published several chapters in books, as well as magazines and other publications.

John Hovell, once named "Top Young Trainer of the Year," is proud to offer an interactive approach based on individual readiness and needs.
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