Beyond Automation Reimagining Work with AI & Human Collaboration #254038

Upon completion of this course, participants will be able to:

• Articulate the Augmentation Paradigm: Differentiate between automation and augmentation and make a compelling case for human-AI collaboration as a strategic advantage.

• Design Hybrid Workflows: Analyze existing processes and redesign them to optimally distribute tasks between humans and AI, maximizing the strengths of each.

• Develop a Collaboration Framework: Apply models like the “Human-AI Teaming Loop” to structure effective interactions, feedback mechanisms, and handoffs.

• Cultivate Essential Human Skills: Identify and foster the uniquely human capabilities (critical thinking, creativity, empathy, ethical judgment) that become most valuable in an AI-augmented workplace.

• Lead the Cultural Shift: Develop strategies to overcome resistance, build trust in AI systems, and foster a culture of experimentation and continuous learning.

• Evaluate and Measure Collaboration: Establish metrics to assess the effectiveness and ROI of human-AI collaborative systems, not just their efficiency

This course is designed for professionals who are shaping the future of work within their organizations:

• C-Suite Executives & Heads of Strategy

• HR Leaders, Chief People Officers, and Heads of Learning & Development

• Operational Leaders and Process Architects

• Technology Leaders (CTOs, CIOs) and Product Managers

• Organizational Design & Change Management Consultants

• Team Leaders and Managers across all functions

• UX Designers and Workplace Researchers

• Ethics Officers and Policy Makers

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a binder containing a copy of the presentation
• slides and handouts
• Post-assessment

Day 1: From Replacement to Partnership: A New Philosophy of Work

• AM: The End of Automation Thinking

  • The limitations of the substitution myth: Why replacing humans is often a failed strategy.

  • The case for augmentation: Studies and cases showing superior outcomes from human-AI collaboration.

  • Introducing the “Augmentation Grid”: A framework for mapping tasks based on human and AI strengths.

• PM: The Psychology of Collaboration

  • Understanding and overcoming algorithm aversion and automation bias.

  • Building trust and psychological safety in human-AI teams.

  • Workshop: Auditing personal and team biases towards AI.

Day 2: Designing the Hybrid Workflow: Where Human and AI Meet

• AM: Task Analysis and Allocation

  • Deconstructing jobs into tasks: which to automate, which to augment, which to leave to humans.

  • Designing for handoffs: creating seamless transitions between AI and human agents.

  • Case Study: Deconstructing a radiology workflow where AI flags scans and doctors diagnose.

• PM: The Feedback Loop

  • Designing systems for human feedback to improve AI performance (the “human-in-the-loop”).

  • Creating learning loops where AI insights also train and improve human decision-making.

  • Workshop: Mapping a feedback loop for a customer service process.

Day 3: Cultivating the Augmented Human

• AM: Skills for the Augmented Age

  • The new must-have skills: critical thinking, creativity, social and emotional intelligence, and AI literacy.

  • From “know-how” to “ask-well”: The art of querying and guiding AI systems.

• PM: Leadership and Management in a Hybrid Team

  • How to lead a team that includes AI contributors.

  • New models for performance evaluation and career progression in augmented roles.

  • Workshop: Redefining a job description for an augmented role.

Day 4: Building the Collaborative System

• AM: Technology and Interface Design for Collaboration

  • Principles of explainable AI (XAI): Designing AI systems that explain their reasoning.

  • The UI of collaboration: Designing interfaces that promote partnership, not just output.

  • Hands-on Exercise: Evaluating and critiquing the collaborative design of different AI tools.

• PM: Governance, Ethics, and Well-being

  • Ensuring fairness, accountability, and transparency in human-AI decisions.

  • Preventing deskilling and promoting meaningful work.

  • Addressing new digital divide issues and ensuring equitable access to augmentation.

Day 5: Implementation and the Future

• AM: The Change Management Playbook

  • Strategies for piloting, scaling, and managing the transition to augmented work models.

  • Measuring what matters: New KPIs for collaboration, innovation, and value creation.

• PM: Capstone: Your Augmentation Blueprint

  • Final Exercise: Teams select a core business process and design a full human-AI collaboration model for it. The blueprint must include:

    • Task allocation analysis

    • Workflow and feedback loop design

    • Skills assessment and training plan

    • Change management and measurement strategy

  • Presentations and feedback.

  • Course Wrap-Up: Committing to action and building a community of practice for human-AI collaboration.