An Intensive Professional
Development Training Course on
Development Training Course on
Get your PDF guide and explore all course details.
The Human-AI Teams in the Workplace Course gives managers, team leaders, HR professionals, and organisational transformation specialists a comprehensive, structured framework for designing, leading, and scaling productive Human-AI collaboration covering workflow integration, trust and transparency, role redefinition, leadership strategy, and the cultural and change management disciplines needed to make Human-AI teaming genuinely effective.
The shift from AI as automation to AI as augmentation is one of the most significant workplace transitions of our time. Organisations that design Human-AI teams thoughtfully — with clear role boundaries, trust-building practices, inclusive design, and strong leadership consistently outperform those that deploy AI without addressing the human dimensions of collaboration.
This course addresses every dimension of making Human-AI teams work — from mapping human versus AI task capabilities and redesigning workflows, through building employee trust and AI transparency, to reskilling, accountability in shared decision-making, and a final group project where delegates propose a Human-AI team strategy for their own organisations.
The Human-AI Teams in the Workplace Course is built for professionals who want to design and lead Human-AI collaboration that actually works where AI enhances human capability rather than creating friction, resistance, or disengagement.
The Human-AI Teams in the Workplace Course is designed to develop comprehensive Human-AI collaboration capability from foundational concepts and workflow design through trust-building, role redefinition, leadership, and organisational transformation.
By the end of this course, participants will be able to:
The Human-AI Teams in the Workplace Course is designed for managers, team leaders, HR professionals, and organisational transformation specialists who are responsible for designing, implementing, or leading Human-AI collaboration within their organisations.
This course is suitable for:
The Human-AI Teams in the Workplace Training Course uses a balanced approach of conceptual learning and hands-on engagement to ensure participants gain both strategic insight and practical experience. The course combines instructor-led sessions, case analyses, and group discussions to create a dynamic and interactive learning experience.
Participants will benefit from:
By the end of the course, participants will be ready to lead hybrid teams that leverage AI for improved decision-making, greater efficiency, and stronger human-machine synergy across all levels of the organization.
Register now or contact our team to discuss schedules, delivery formats, and customised options.
Check out other training courses might interest you
Common questions about our training courses
This course is designed for managers, team leaders, HR professionals, organisational development specialists, digital transformation leads, and senior leaders who are responsible for designing, implementing, or leading Human-AI collaboration within their organisations. It is suitable for both those newer to Human-AI teaming who need a structured foundation and experienced transformation professionals looking to develop a more complete and strategically integrated approach to AI augmentation in the workplace.
The distinction between automation and augmentation is addressed on Day 1 — examining how automation replaces human tasks entirely while augmentation enhances human capability by providing AI support, insights, and decision assistance. This distinction is foundational to Human-AI team design because it determines how roles are structured, where human judgement remains essential, and how accountability is maintained when AI contributes to decisions. Delegates develop a clear framework for evaluating which aspects of their team's work are candidates for automation versus augmentation a distinction that shapes every subsequent workflow and leadership decision.
Day 3 is dedicated to trust, transparency, and explainability — examining the psychology of trust in intelligent systems, how explainability and interpretability affect employee confidence in AI decisions, and what practical steps managers and organisations can take to reduce resistance and build genuine acceptance of AI as a team contributor. Delegates complete a transparency evaluation exercise — developing the assessment skills to identify where AI system opacity is creating trust gaps and what design changes would address them.
No prior AI or technical background is required. The course approaches Human-AI collaboration from a management, HR, and organisational design perspective — introducing AI concepts including augmentation, decision support, and human-in-the-loop in the context of team design and leadership rather than technical development. Delegates from management, HR, operations, change management, and general leadership backgrounds will find the content directly accessible and applicable to their professional responsibilities.
Day 2 focuses on workflow design — covering how to map human versus AI capabilities for specific tasks, how to select workflow integration models that align AI tools with human routines, and how to design decision support systems that enhance rather than disrupt established working patterns. Delegates complete a workflow redesign workshop leaving with a practical, structured approach to integrating AI into team workflows that minimises disruption and maximises the productivity gains that Human-AI collaboration can deliver.
Inclusive design and bias are addressed within Day 3 examining how algorithmic bias can create unfair outcomes in AI-augmented team environments, how to identify and assess bias risks in Human-AI workflows, and how inclusive design principles ensure that AI tools work fairly and effectively for all team members regardless of background, role, or demographic. Delegates develop the awareness to challenge AI tool deployments that create or reinforce inequities within their teams and organisations.
.webp?v=1780999175)
