Leading Human–AI Teams & Intelligent Workplaces
Lead teams that use AI with clear responsibilities and sound human judgement. This training course develops the management skills to allocate work between people and AI, guide collaboration as roles change and assess whether AI-supported work is improving team performance.
Prepare yourself for the Leading Human–AI Teams & Intelligent Workplaces course
Lead AI-enabled teams by deciding how work should be shared, who can authorise decisions and how managers can judge the quality of AI-supported work. This Leading Human–AI Teams & Intelligent Workplaces training course examines how AI assistants and agents change everyday team activities and managerial responsibilities. Participants consider which tasks people should lead, where AI can assist and how approvals, handovers and escalation routes should work when responsibilities are shared.
The course also addresses how managers build trust, respond to employee concerns and protect independent judgement as working practices change. Participants examine how to measure work quality, productivity, coordination and rework, and how to respond when AI outputs prove unreliable or teams become overly dependent on them. These decisions come together in a Human–AI Team Operating Model that sets out responsibilities, decision rights, collaboration practices and performance measures for a selected function.
Highlights of this Leading Human–AI Teams & Intelligent Workplaces training course includes:
- Task allocation across employees, AI systems and shared workflows
- Decision ownership, approval boundaries and escalation routes
- Employee trust, communication and independent professional judgement
- Team performance measures for work quality, productivity, coordination and rework
- A Human–AI Team Operating Model for a selected organisational function
The learning journey
Course Summary Outline
Day 1
Understanding AI-Enabled Teams & Managerial Responsibilities
Day 2
Redesigning Roles, Work Allocation & Decision Rights
Day 3
Leading Collaboration, Trust & Employee Engagement
Day 4
Managing Team Performance & Accountability
Day 5
Developing the Human–AI Team Operating Model
Is This Course Right for You?
The Leading Human–AI Teams & Intelligent Workplaces training course is designed for experienced managers and functional leaders who are responsible for team performance, work allocation or changes to working practices. It is especially relevant to those who need to decide where AI can support their teams, clarify who retains decision authority and help employees adapt as responsibilities change.
- Chief Operating Officers
- Business Unit Directors
- Department Heads
- Operations Directors
- Heads of Shared Services
- HR Directors
- Organisational Development Directors
- Organisational Change Managers
- Operational Excellence Managers
- Performance Improvement Managers
Course Summary
- How AI assistants and agents are changing team activities
- Distinguishing human expertise from AI-supported capabilities
- Identifying tasks suitable for human, AI or shared execution
- Redefining employee and management responsibilities
- Establishing appropriate trust in AI-supported work
- Addressing employee concerns and changing professional identities
- Defining performance expectations for AI-assisted activities
- Measuring work quality, productivity, coordination and rework
- Integrating revised responsibilities and collaboration arrangements
- Establishing managerial review routines and supervisory controls
Want the full outline?
Key Learning Outcomes and Objectives?
The Leading Human–AI Teams & Intelligent Workplaces training course develops the management judgement needed to allocate work, set decision rights and review performance when employees use AI. Participants learn to clarify who is accountable at each stage of a workflow, support employee confidence as roles change and choose measures that capture the quality of AI-supported work. They bring these decisions together in a Human–AI Team Operating Model.
- Assess how AI assistants and agents affect team activities and managerial responsibilities.
- Allocate tasks across employees, AI systems and shared arrangements based on the judgement and oversight each task requires.
- Define decision ownership, delegated authority, approval points and escalation routes.
- Guide team collaboration by addressing employee concerns and preserving independent professional judgement.
- Develop a scorecard to measure work quality, productivity, coordination and rework.
- Present a Human–AI Team Operating Model with clear implementation priorities and review arrangements.
The Excentra Learning Approach
The Leading Human–AI Teams & Intelligent Workplaces training course takes a management-led approach to AI-enabled work. It begins with how AI changes everyday team activities and connects those changes to the decisions managers make about responsibilities, supervision and employee development.
As the course progresses, the focus moves from individual tasks to how the team operates as a whole. Participants consider how clear decision rights, collaboration practices and performance measures work together to support sound judgement and accountability.
Six capabilities, and how far this course takes each one
Data Intelligence
Intelligent Monitoring
Document Intelligence
Workflow & Agent Design
Responsible Implementation
Business Transformation
Ready to take the next step?
Reserve your place, ask us a question, or arrange private training for your team.
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