Change Impact Assessment for AI-Driven Processes

Evaluate how AI impacts job functions, systems, and outcomes.

Pillar

Process – Workflow, Governance, Risk & Efficiency

Overview

This course equips participants with the skills to assess the impacts of Generative AI integration on organizational processes, roles, and technology systems. It focuses on identifying changes, evaluating risks and opportunities, and planning for smooth transitions in AI-driven environments.

Learning Objectives

Participants will be able to:

• Analyze how AI transforms job roles and workflows

• Assess technical and operational impacts of AI adoption

• Identify risks and opportunities arising from AI integration

• Develop mitigation and support strategies for affected stakeholders

• Communicate change impacts effectively across the organization

Target Audience

• Change management professionals

• HR and workforce planners

• Process owners and business analysts

• AI implementation teams and project managers

Duration

20 hours over 4 days (5 hours per day)

Delivery Format

• Interactive workshops and group discussions

• Case studies and impact analysis exercises

• Role-playing and communication planning

Materials Provided

• Impact assessment frameworks and templates

• Stakeholder communication guides

• Case study documentation

• Certificate of completion

Outcomes

• Conduct comprehensive impact assessments for AI initiatives

• Develop effective change management strategies tailored to AI-driven change

• Enhance stakeholder engagement and minimize resistance

• Support workforce transition and process adaptation

Outline / Content

Day 1: Foundations of Change Impact Assessment

• Overview of AI-driven change in organizations

• Frameworks for assessing change impacts

• Identifying affected roles, systems, and processes

Day 2: Analyzing Operational and Technical Impacts

• Evaluating changes in workflows and job functions

• Assessing system integrations and technology shifts

• Identifying risks, opportunities, and compliance concerns

Day 3: Mitigation and Support Strategies

• Designing interventions for affected employees and teams

• Training and upskilling plans aligned with AI adoption

• Developing communication and engagement plans

Day 4: Planning and Communicating Change

• Crafting clear and persuasive messages for stakeholders

• Role-playing stakeholder conversations and feedback sessions

• Workshop: Create a change impact assessment report for a sample AI project

• Review and group discussion