Before you write a prompt or build an agent, there’s an important question to ask: Is this a good use case for AI?
Not every task benefits from AI. The strongest opportunities usually involve work that is repetitive, knowledge-heavy, and based on content your organization already manages in Box.
Identifying those opportunities is one of the foundational skills covered in the Box Certified AI Strategist curriculum.
What makes a strong AI use case?
A good AI use case usually has three characteristics:
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It happens repeatedly. The task comes up frequently and follows a recognizable pattern.
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It relies on content. People need to find, review, summarize, compare, or create information from documents.
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It has a clear outcome. You can describe what a successful result looks like and how it would help the team.
For example, an HR team may answer the same questions about benefits and leave policies every week. A sales team may repeatedly review RFPs and draft responses. A legal team may extract the same fields from a large set of contracts.
Start with the pain point
The best AI use cases begin with a real business problem — not with a particular AI feature.
Ask yourself:
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Where are people spending too much time searching for information?
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Which processes require repetitive document review?
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What questions or requests come up again and again?
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Where would faster or more consistent results make a difference?
Talk to the people who perform the work. Observe the process when possible. Review available data, such as request volumes, cycle times, or common sources of rework.
You may find that the problem is not simply “we need AI.” It may be that information is difficult to find, content is out of date, or a process has too many manual handoffs. Defining the problem clearly helps you determine whether AI is the right solution.
A quick evaluation checklist
Before moving forward, consider:
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What specific problem are you trying to solve?
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Who experiences the problem, and how often?
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Which Box files or content sources would the solution use?
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What would the AI solution produce?
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How would you measure whether it helped?
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Where would human review still be needed?
If you can answer these questions clearly, you have a stronger foundation for designing an AI solution.
Want to go deeper?
The Box Certified AI Strategist certification helps admins, power users, workflow owners, and team leads move from using Box AI to leading AI adoption.
The self-paced curriculum includes four courses covering AI leadership, solution design, rollout, and responsible governance. After completing the curriculum and passing the exam, you’ll earn a shareable LinkedIn certificate.
Explore the Box Certified AI Strategist certification and continue learning at Box University.
What AI use case are you exploring? Share the process you’d like to improve — or the questions you’re asking before getting started — in the comments.