Enterprise AI Readiness – Data, Workflow, and Deployment Choices
Lesson 2: Data, Documents, and Context
Lesson Objectives
By the end of this lesson, students should be able to:
- Identify available, missing, stale, and restricted information.
- Explain why context quality affects output quality.
- Create a small test set.
Lesson Content
AI systems need usable information. For a simple prompt, the information may be instructions and examples. For a search-and-answer workflow, the information may be documents. For a classification workflow, the information may be labeled examples.
Readiness questions:
- Is the information current?
- Is it organized enough to retrieve?
- Is it written for the audience the AI must support?
- Does it include edge cases?
- Are there privacy, permission, or policy limits?
- Can a person verify the result?
Students should create a test set before launch. A test set is a small group of examples that includes normal cases, hard cases, and cases where the AI should refuse or ask for more information.
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