AI Use Case Prioritization Guide

In plain words

Rank candidate use cases by value, feasibility, evidence, risk, and time to useful proof.

This document is for teams comparing several ai opportunities. It is designed to help someone make a clear decision, not to create unnecessary process.

What you need

• Candidate use cases
• Business baselines
• Known constraints

What to do

• Score value and feasibility.
• Apply risk and evidence gates.
• Select a focused first use case.

What good looks like

• The intended outcome is written in plain language.
• One person owns the decision and the next action.
• Inputs, exclusions, and data boundaries are explicit.
• Evidence is reviewed before the work expands.

What this does not promise

This document does not guarantee a business result, replace legal or regulatory advice, or approve production use. Final scope, controls, and acceptance criteria must reflect the actual organization and workflow.

Update notes

When updating this document, change the front-matter date, name the owner, and record any product, policy, or evidence dependency that changed.