Module 3 Overview

Theme

Document and data extraction

Essential Question

How does AI convert unstructured work into structured workflows?

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 process-event records with cycle time, exception flags, queue age, and rework indicators

Module Artifact

automation readiness memo with workflow map, exception policy, control points, and ROI estimate focused on document and data extraction: Prototype a document extraction pipeline.

Professional Setting

Students work as if advising an operations team deciding whether to automate part of a high-volume administrative workflow. Their work must be intelligible to process owner, operations analyst, frontline staff lead, and risk/control reviewer.