Self-Study Assignment 8.4: Think & Act 💡From Pilot to SOP: Scaling an AI Workflow

Learning Outcomes Addressed: 

• Explain why AI pilots fail to scale successfully
• Identify operational requirements needed to scale AI workflows safely
• Apply KPIs and governance checks to evaluate AI-enabled operational workflows

Scenario

Many AI pilots show promising results but fail to scale because operational processes, governance and ownership are not clearly defined.

Task

Select an AI pilot or AI-enabled workflow from your organisation or industry.

Examples:

• Customer support assistant
• Employee onboarding assistant
• Knowledge management assistant
• Service desk assistant

Part A: Pilot Overview

Briefly describe:

• Business problem being solved
• Current stage (Pilot, Limited Rollout, Operational Use)
• Key benefits achieved or expected

Part B: Scaling Readiness

Evaluate the workflow against the following:

Identify the two biggest barriers to scaling.

Part C: Success at Scale

Recommend:

• 3 KPIs to measure success
• 2 governance controls required before rollout

Reflection

If leadership requested enterprise-wide deployment tomorrow, what evidence would you need before approving the rollout?

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.