AI-Powered Possibilities: Identifying, Evaluating & Prioritizing High-Impact Use Cases

Foundations

AI Use Case

A specific application of AI to a business problem or workflow where it can add measurable value.

Why Prioritize Use Cases

Resources are limited; focusing on the highest-value, most feasible opportunities maximizes return and builds momentum.

Value Streams and AI

Looking across value streams and workflows to find where AI can reduce delay, improve quality, or unlock insight.

Augmentation Opportunities

Tasks where AI can assist people — drafting, summarizing, analyzing — often the fastest source of value.

Identifying

Use Case Discovery

Systematically surfacing candidate applications through workshops, interviews, and workflow analysis.

Pain Points and Bottlenecks

Looking for repetitive, slow, or knowledge-heavy steps where AI can help most.

Opportunity Canvas

A structured tool to capture a use case's problem, users, value, and approach.

Data Availability

Assessing whether the data needed to support a use case exists and is usable.

Evaluating

Value Assessment

Estimating the business impact of a use case — time saved, quality gained, revenue or risk reduction.

Feasibility Assessment

Judging whether a use case is technically and organizationally achievable given data, tools, and skills.

Risk Assessment

Considering ethical, privacy, security, and compliance risks before pursuing a use case.

Effort and Cost

Estimating the investment required to build, deploy, and sustain the use case.

Readiness

Assessing organizational readiness — skills, culture, governance — to adopt the use case successfully.

Prioritizing

Value vs. Effort Matrix

Plotting use cases by value and effort to spotlight high-value, low-effort quick wins.

Impact vs. Feasibility

Ranking opportunities by potential impact against how feasible they are to deliver.

WSJF-Style Prioritization

Sequencing use cases by value and urgency relative to effort for the best economic return.

Portfolio of Use Cases

Balancing quick wins, strategic bets, and foundational investments across a portfolio.

Validating

Proof of Concept (PoC)

A small, time-boxed experiment to validate a use case's value and feasibility before scaling.

Minimum Viable Use Case

The smallest implementation that tests the core hypothesis and delivers early value.

Success Metrics

Defining measurable outcomes upfront so the value of a use case can be proven.

Scaling Decision

Deciding whether to scale, adjust, or stop a use case based on PoC results.

Responsible AI

Responsible Use Screening

Checking each use case against ethical, privacy, and governance criteria before proceeding.