AI Use Case Prioritisation Tool

A structured way to move from ‘AI could help us with lots of things’ to a clear, prioritised shortlist you can actually act on.

Takes 30–45 minutes. No sign-up, no cost. Your data stays in your browser.

Why this tool?

Most organisations we work with have no shortage of AI ideas. The challenge isn’t inspiration — it’s knowing which ideas to pursue first. Without a structured way to compare options, teams either try to do everything at once or stall waiting for the “perfect” use case.

This tool gives you a repeatable, evidence-based process to capture your ideas, score them against the criteria that actually matter, and walk away with a clear shortlist you can take to your next planning session.

What you’ll need

  • 30–45 minutes of focused time (you can pause and come back)
  • A rough list of AI ideas or pain-points your team has discussed
  • Some awareness of your current data, systems, and team capacity
  • Ideally, input from 2–3 people who understand operations, data, and strategy

What you’ll get

  • A scored and ranked list of your AI use cases
  • Each idea categorised as BUILD, PILOT, ASSESS, or PARK
  • A downloadable summary you can share with leadership or your ARAIN advisor
  • Clear next steps for your top-priority use cases

How it works

1

Capture

10–15 min

List every AI use case your team has discussed or imagined. Don’t filter yet — get them all down. We’ll help with prompts if you get stuck.

2

Score

15–20 min

Rate each use case across four weighted criteria: Data Readiness, Process Impact, Strategic Fit, and Delivery Confidence. Simple 1–5 scales with clear guidance at every level.

3

Review

5 min

See your ranked results, adjust if needed, and download your prioritised shortlist. Each use case gets a recommended action stage: BUILD, PILOT, ASSESS, or PARK.

Not sure what counts as a use case?

A use case is simply a specific task or process where AI could add value. Here are some examples from organisations like yours:

  • Automated grading or quality classification from images
  • Chatbot for answering staff policy questions
  • Predictive maintenance alerts for equipment
  • Summarising long reports or meeting notes
  • Demand forecasting from historical sales data
  • Automated invoice processing and matching
  • Smart rostering based on demand patterns
  • Sentiment analysis of customer feedback
  • Document search across policies and procedures
  • Anomaly detection in sensor or IoT data

Don’t worry about whether an idea is “good enough” — that’s exactly what the scoring step is for. Capture everything and let the framework do the sorting.

The methodology

Each use case is scored across four criteria, weighted to reflect what matters most for successful AI adoption in regional organisations:

Data Readiness (30%)

Do we have the data this use case needs?

Assesses whether the required data exists, is accessible, and is clean enough to support the use case without major remediation work.

Process Impact (30%)

How much time, cost, or quality improvement would this deliver?

Measures the tangible operational benefit — whether that’s hours saved, errors reduced, revenue gained, or capacity freed up.

Strategic Fit (20%)

Does this align with our priorities and direction?

Evaluates how well the use case supports your strategic goals, existing initiatives, and organisational appetite for change.

Delivery Confidence (20%)

Can we realistically deliver this in the next 6–12 months?

Considers team skills, vendor maturity, integration complexity, and whether similar solutions have been proven elsewhere.

Based on the weighted score, each use case is assigned to one of four action stages: BUILD (high confidence, start now), PILOT (promising, run a small test), ASSESS (potential but needs more groundwork), or PARK (not ready yet — revisit later).

60-Second Test

Not sure if you’re ready for the full prioritisation? Try this: can you name three tasks in your organisation that are repetitive, data-heavy, or time-consuming? If yes, you have enough to get started. The tool will help you structure and evaluate those ideas — you don’t need to have all the answers upfront.

Your data stays in your browser. Nothing is sent to a server or shared with anyone unless you choose to export it.