Self-Study Assignment 8.5: Think & Act💡Human-AI Responsibility Mapping

Learning Outcomes Addressed: 

• Differentiate between centralised, federated and hybrid approaches to managing AI workflows
• Identify operational requirements needed to scale AI workflows safely, including monitoring, ownership, rollback plans and SOP updates
• Describe the stages of AI workflow maturity from experimentation to scaled operational use

Scenario

As AI becomes embedded into operational workflows, organisations must make deliberate decisions about where automation should be applied and where human judgement must remain.

Poorly defined responsibilities can lead to operational failures, compliance risks, inconsistent decisions, and reduced trust in AI-enabled processes. Successful organisations establish clear approval points, escalation paths, and accountability structures before scaling AI solutions.

As a process owner, you have been asked to review a business workflow and determine how humans and AI should work together

Task

Choose one workflow from your organisation.

Examples:

• HR onboarding
• Customer support
• Billing
• Procurement
• Internal administration

Part A: Workflow Analysis

Complete the table below:

Part B: Governance Design

Identify:

• Approval checkpoints
• Escalation points
• Workflow owner

Reflection

What is the biggest risk if this workflow is scaled without clearly defining human responsibilities and governance controls?

Estimated Duration: 30 minutes

Note: This is a practice activity and will not be graded or impact your programme completion. However, we strongly encourage participation for a more holistic learning experience.