Does My App Need AI?
Short answer? It depends.
The long answer: Your app may or may not need an AI component, but adding it without a real use case can sometimes do more harm than good.
That doesn’t mean AI has no place in your product. With the right data and purpose, AI features can genuinely improve user experience and complete tasks with greater efficiency.
So, before you start finding a software development team or planning new features, ask yourself these 3 questions to figure out if an AI component will make your app better.
1. Are users stuck, waiting, or dropping off mid-task?
Look where your users lose their time, like waiting for a response or confirmation for an extended period, getting stuck on a step, or performing a task manually repeatedly. These often frustrate users and lead to abandoned sessions.
One common area where this happens is customer support. If your team is repeatedly answering the same questions or users are exiting chat flows due to slow responses or confusing steps, that’s a red flag.
For instance, in a loyalty app, users may keep asking repetitive questions like whether their points will expire or how to redeem rewards. If that’s the case, then an AI chatbot can speed response time up, handle repetitive queries, and still maintain a conversational, human-like interaction.
2. Do users need to make complex decisions that slow them down?
Sometimes, too many products, product information, or steps may overwhelm the users. They might struggle to figure out what’s right for them.
For example, in an e-commerce app, users might have hundreds of similar products to choose from. A smart assistant can narrow the options based on users’ preferences, previous purchases or context.
AI can make decision-making feel easier and more guided while improving the user experience. This will make them likely to return and engage with your app.
3. Do you have the knowledge or data to power AI?
AI needs clear and structured data to work. That includes things such as product details, FAQs, business rules, decision flows, or past support responses.
This information could be a well-organised spreadsheet listing your products and specifications, or a document containing standard support replies or even a PDF guide for your internal processes.
This kind of structured knowledge helps train your AI feature to perform accurately, minimise errors, and respond in ways that feel natural and useful. With clear inputs, the AI can deliver its full potential, whether it’s answering questions, guiding users, or automating decisions.
Conclusion
AI can make your app better, but only when it’s addressing the right problem, backed by the right data, and built with the right purpose. If you’re clear on why you need it and what you want it to do, then it’s worth exploring.
And if you need a team that can help you think it through, tell us about your project and we will help you to narrow down the solution.
See how unclear goals and poor planning are the cause of failed software development projects.
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