How do I identify AI use cases?

Sources: pain points (what wastes time/money?), opportunities (what could AI enable?), competitor actions, strategic priorities, and frontline staff ideas. Cast wide, then evaluate rigorously.

How many use cases should I pursue at once?

Start with 1-3 for most organisations. Better to succeed at fewer than struggle with many. Build capability through early successes, then expand. Portfolio grows with maturity.

Should I start with easy or high-value use cases?

Typically easy wins first to build confidence and capability. But not trivial - meaningful enough to demonstrate AI value. High-value, high-complexity use cases often need maturity from earlier wins.

How do I write a good use case?

Be specific: who does what, with what data, to achieve what outcome. Include measurable success criteria. Describe the current state problem and future state improvement. Avoid vague "use AI to improve X."

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Use Case

A specific scenario describing how AI will be used to solve a business problem or enable a capability.

In-Depth Explanation

A use case describes a specific application of AI to a business need, including the problem, solution approach, users, and expected value. Well-defined use cases are essential for AI project success.

Use case components:

Problem statement: What business challenge is addressed
Solution description: How AI will solve it
Users/stakeholders: Who will use and benefit
Data requirements: What data is needed
Success metrics: How value will be measured
Assumptions/constraints: Dependencies and limitations

Use case evaluation criteria:

Value: Business impact if successful
Feasibility: Technical and organisational ability to execute
Data readiness: Availability of required data
Strategic fit: Alignment with business priorities
Risk: Consequences of failure

Use case prioritisation:

High value + high feasibility = prioritise
High value + low feasibility = invest in feasibility
Low value + high feasibility = quick wins
Low value + low feasibility = deprioritise

Business Context

Clear use cases prevent "AI looking for a problem." They ensure AI investment targets specific, valuable business needs rather than general exploration.

How Clever Ops Uses This

We help Australian businesses identify, evaluate, and prioritise AI use cases, ensuring effort focuses on opportunities with the best value-to-feasibility ratio.

Example Use Case

"Use case: Automatically categorise and route customer emails to reduce response time from 24 hours to 2 hours, measured by first response time and routing accuracy."