Proposed five-day professional program. Approximately 25-30 training hours. Final arrangements are confirmed in the written proposal.
Course Overview
Redesign work allocation between people and AI while preserving accountability.
This proposed five-day program combines practical case analysis, guided exercises and peer discussion. Participants adapt the course concepts to organizational circumstances and prepare a human-ai collaboration blueprint.
Learning Outcomes
Assess task decomposition and role boundaries.
Evaluate human judgment and ai assistance.
Apply a structured approach to workflow handoffs and quality checks.
Develop practical recommendations for employee enablement and adoption measures.
Prepare and present a human-ai collaboration blueprint.
Who Should Attend
Functional managers, business analysts, AI project coordinators and professionals planning AI-enabled work.
Relevant work experience is recommended. The participant profile, prerequisite knowledge and case complexity are reviewed during planning.
Training Methodology
Facilitated discussion, worked examples, anonymized case analysis, practical exercises, peer review and an applied final assignment.
Learning assessment may include a baseline discussion, review of exercise outputs and a final presentation. Attendance and completion requirements are confirmed in the proposal.
Course Tools and Templates
Task decomposition and role boundaries worksheet – proposed exercise document.
Human judgment and AI assistance worksheet – proposed exercise document.
Workflow handoffs and quality checks worksheet – proposed exercise document.
Employee enablement and adoption measures worksheet – proposed exercise document.
Human-AI collaboration blueprint – proposed exercise document.
Delivery Requirements
Classroom, live online and in-house delivery can be arranged by agreement. The trainer, language, venue or platform, timetable and required materials are confirmed in writing.
A laptop may be needed for analytical or planning activities. Software availability, licenses and access requirements are agreed before delivery.
Course Customization
The indicative five-day sequence can be adapted to participant experience, industry context and agreed learning objectives. Final dates, fees, agenda, certificate details and delivery arrangements are confirmed in the written proposal.
Proposed Five-Day Course Outline
Day 1 – Task decomposition and role boundaries
Define the business context, assess current practices and clarify the decisions relating to task decomposition and role boundaries.
Practical output: Task decomposition and role boundaries worksheet
Day 2 – Human judgment and AI assistance
Interpret representative information and compare practical approaches to human judgment and ai assistance.
Practical output: Human judgment and AI assistance worksheet
Day 3 – Workflow handoffs and quality checks
Use the course tools in a realistic case focused on workflow handoffs and quality checks, documenting assumptions and recommendations.
Practical output: Workflow handoffs and quality checks worksheet
Day 4 – Employee enablement and adoption measures
Review responsibilities, risks and follow-up measures through a practical exercise on employee enablement and adoption measures.
Practical output: Employee enablement and adoption measures worksheet
Day 5 – Human-AI work redesign workshop
Integrate the learning through human-ai work redesign workshop, present the final assignment and propose workplace actions.
Practical output: Human-AI collaboration blueprint
