# Module 6 Overview

## Theme

Change management and adoption

## Essential Question

Why do technically valid AI projects fail in organizations?

## Module Components

- `Book prose`: conceptual framing, domain scenario, methods, and failure modes
- `Assignment`: evidence-backed production of a specific artifact
- `Slides`: presentation sequence for seminar or lecture delivery
- `Narration`: spoken version of the slide flow
- `Instructor notes`: facilitation plan, discussion prompts, and grading cues
- `Rubric`: criteria for evaluating the module artifact
- `Notebook`: executable lab aligned with the module theme using synthetic project telemetry with scope volatility, evaluation results, risks, adoption readiness, and operational load

## Module Artifact

deployment decision package with project charter, acceptance gates, risk log, and monitoring plan focused on change management and adoption: Plan training, support, and adoption measures.

## Professional Setting

Students work as if advising a delivery team deciding whether an AI project should move from experiment to deployment. Their work must be intelligible to project sponsor, product owner, ML lead, operations manager, and governance reviewer.