Future-Proof Your Software: How to Build Apps with AI Features in 15 Steps

Businesses must constantly upgrade their applications to stay competitive. And one of the most obvious ways to future-proof a software solution is embedding smart features in it. Just look at the market figures: Statista predicts that the AI market will reach $305.90 billion in 2024 and will keep on growing at a CAGR of 15.83% between 2024 and 2030. By the end of the decade, it will make up $738.80—impressive, isn’t it? This growth indicates that more and more companies will introduce smart functionality into their products.

If you don’t embrace emerging technologies, your software can quickly become obsolete, and you’ll see your customers leave you for other businesses. Losing user engagement is definitely not what an aspiring organization wants or seeks. Neither is stagnant growth. So, if you haven’t implemented robust AI functionality yet, it’s high time you did so.

Applications of AI in Software Solutions: Key Areas of Use

AI has already permeated many areas of human activity. Here are just a few sectors where this technology is making impressive progress:

Healthcare

This domain is worth mentioning first. No matter that the cost of error is incredibly high in this industry, many specialists rely on intelligent solutions anyway. Their approval of innovations, together with impressive outcomes, is a strong call to action—don’t be afraid to build apps with AI features.

These are areas where smart tools are of peculiar importance:

  • Medical Imaging and Diagnosis: Smart algorithms process medical images, detect anomalies, diagnose conditions, and make treatment recommendations.
  • Drug Discovery and Development: Intelligent technology speeds up drug discovery—it handles enormous data volumes, identifies potential drug candidates, and predicts efficacy and safety.
  • Patient Monitoring and Care: Smart platforms monitor patient data, spot early warning signs, and generate personalized treatment recommendations.

E-Commerce

E-Commerce organizations build apps with AI functionality because they know—the smarter your solutions are, the more revenue you receive. Here is how intelligent features can help you generate impressive ROI:

  • Tailored Recommendations: Smart technology analyzes the preferences of massive audiences. Thus, it detects important patterns that allow businesses to offer specific products or services to their clients. This goes with boosted sales and ROI, of course.
  • Fraud Detection: Smart algorithms are perfect at spotting fraudulent activities. This secures organizations against risks and losing customer trust.
  • Intelligent Chatbots and Virtual Assistants: Such solutions significantly enhance the quality of services and, unlike human professionals who need rest, can function round the clock.

Education

Here, the picture is a bit different, as human expertise and knowledge are top priorities. You cannot substitute human experience with generated content. However, AI opens up remarkable opportunities for both teachers and students:

  • Personalized Learning: AI adapts learning content, lesson plans, and books based on individual student data and habits. You receive tailored educational plans and can keep on mastering your skills. For instance, no smart tool ever can learn a language instead of you (AI knows dozens of them anyway), but it can offer you learning materials that perfectly fit your interests.
  • Intelligent Tutoring Systems: Such platforms cannot substitute human teachers, but they definitely can help them enhance learning paths with checking tests, providing feedback, and so on.
  • Administrative Automation: AI can perform administrative tasks, such as grading, scheduling, and communication, allowing educators to focus on teaching.

Logistics and Supply Chain

This is one more area where seamless processes are no longer possible without smart tools. So, logistics companies build apps with AI at least for the following reasons:

  • Route Optimization: Thanks to algorithms, companies can make valuable adjustments to routes and thus reduce costs, fuel consumption, emissions and improve operations.
  • Predictive Maintenance: If you timely get information on potential equipment failures and can schedule maintenance automatically, this means reduced downtime and smooth operations.
  • Inventory Management: AI monitors inventory levels, predicts demand, and optimizes stock levels.

Lifestyle

People are increasingly relying on AI even in their everyday activities. As these are diverse, companies can find numerous ways to build apps with AI features to expand their audiences:

  • Intelligent Personal Assistants: These help with tasks, provide information, and automate routines, improving convenience and efficiency.
  • Recommendation Systems: AI recommends products, services, entertainment, and activities based on individual preferences and behavior.
  • Smart Home Automation: Intelligent control and automation of home devices, appliances, and systems—sounds great for a person who wants to save on energy and make their dwelling much more comfortable.

These are just a few examples. Navigation, robotics, agriculture, marketing, finance—the list of available AI apps can be very long.

Advantages of AI Integration in Digital Products

You might wonder what benefits you’ll get if you build your apps with AI. Here are just a few, the most obvious ones:

  • Personalized Experiences: AI evaluates user info and behavior to give tailored content, recommendations, and interactions, making people more engaged and satisfied.
  • Predictive Analytics: Robust analytics finds useful information in big data, letting businesses see trends, spot problems early, and make smarter decisions for better products and fewer risks.
  • Automated Tasks: AI performs repetitive tasks and ensures smoother workflows, making things run better, cutting mistakes, and saving money.
  • Smart Support: Chatbots and assistants are always there to answer questions, guide users, and fix problems.
  • Enhanced Security: Algorithms stay vigilant all the time and can spot anything odd or risky fast to keep data safe and users happy.
  • Continuous Improvement: AI learns and gets better with time, so digital products can change and improve based on new stuff and user feedback, staying useful and up-to-date.

15 Steps to Implement AI in Apps Efficiently

Whether you’re a seasoned developer, a business owner, or an entrepreneur seeking to outpace your competitors, consider taking the following steps.

Step 1: Conducting a Comprehensive Audit

If you want to build an app with AI from scratch, you need to understand what exactly you wish to achieve. If you already have a legacy solution and want to enhance it with smart features, you should carefully assess its current performance. Can this product integrate new functionality? If yes, you should also recognize typical patterns of users’ interaction with your app. Thus, you will understand if it could handle a large influx of new users.

Step 2: Setting Clear AI Integration Goals

To ensure smooth and uninterrupted AI performance, you should clearly define your goals. They must be measurable and aligned with what your business wants to achieve.

For instance, if you aim for better customization—one of the most obvious reasons why businesses build apps with AI—robust personalization features should be among your top priorities. Implementing tailored recommendations and improved customer support with smart chatbots or virtual assistants should follow suit. Specialists from Servion Global Solutions are confident: by 2025, 95% of customer interactions will be supported by smart tools. So, it’s your turn to embed them into your processes, too.

Step 3: Selecting the Right AI Technologies

Artificial intelligence is very complex and covers various technologies. To ensure your integration goes smoothly, pick the right one that suits your app’s needs. For example, machine learning algorithms are great for recognizing patterns, making predictions, and decisions, while natural language processing is excellent at understanding and creating human-like language. If you’re dealing with images and videos, consider computer vision—it will help you with facial recognition, spotting objects, and augmented reality.

Figure out what your app needs, what data you have available, and what computing power you have to work with. Consider factors like the amount and quality of your data, as well as its complexity. Also, think about how much computing power you’ll need to effectively train and run your models.

Step 4: Developing a Robust Data Strategy

Data is the fuel that powers intelligent models, and having a robust data strategy is crucial for successful AI integration. Start by identifying the data sources relevant to your app and its use cases, such as user interactions, device data, or external data sources. Implement processes for collecting, cleaning, and organizing this data, ensuring it is accurate, consistent, and free from biases or inconsistencies. Additionally, consider data privacy, security concerns, and compliance.

Step 5: Building a Scalable AI Infrastructure

If you build apps with AI features, you must set up a system that can handle the heavy lifting of training and running intelligent models. Cloud computing platforms are a great option because they offer flexible resources that you can scale up or down as needed, with no need to buy a bunch of hardware upfront. Distributed systems and containerization technologies, such as Kubernetes, will help you manage resources efficiently and stay flexible while deploying your product. 

Step 6: Implementing Smart Features and Functionality

With all the necessary technologies and infrastructure in place, it’s time to integrate AI into your app’s functionality. Start by identifying the areas where smart features can have the most significant impact—personalized recommendations, intelligent search, or predictive analytics. Develop and test intelligent models to refine them.

Step 7: Continuous Monitoring and Improvement of AI Models

AI models aren’t set in stone; you need to control and adjust them regularly for enhanced accuracy. Monitor how well your models are doing, catch any mistakes or biases, and update them with new data whenever necessary. Use methods like A/B testing and user feedback to see how well your smart features are working and decide what changes you must make next.

Step 8: Ensuring Ethical and Responsible Development

As more and more companies build apps with AI, there emerge more concerns about its responsible usage. How can we implement smart algorithms ethically? — that’s the question that any conscientious professional poses. 

Make sure your models don’t accidentally show any bias. They must be transparent and keep user information safe. Set clear rules and ways of doing things that follow the best practices for ethical software development.

Step 9: Integrating AI with Existing Systems

AI needs to fit smoothly with what you’re already doing to work best. Assess the compatibility of your smart solutions with your current infrastructure, databases, and workflows. Develop APIs and interfaces that enable smooth communication and data exchange between intelligent components and other systems within your organization.

Step 10: Training Your Team

One of the prerequisites for success is having a team of specialists fully aware of what they’re doing. Spend time and resources on training your staff members so they can build, use, and take care of AI solutions most efficiently. Encourage everyone, from developers to data experts, to work together and understand how innovation fits into what your company does.

Step 11: Fostering a Culture of Innovation and Experimentation

Implementing AI in apps isn’t something you just do once and forget about. This requires commitment to continuous innovation and experiments. If your team members come up with new ideas on how to use smart features, encourage their initiatives. Make sure they feel okay taking risks and learning from mistakes. When something goes well, celebrate it, and make sure everyone learns from what didn’t work so well. So, all the team members will try to make their contribution to the entire process.

Step 12: Collaborating with AI Experts and Industry Leaders

Having an in-house AI development team is important. But you should also search for reliable partners offering services for custom apps development. Their expertise can considerably enhance the quality of your digital products. You can also find such individuals at research institutions, communicate with academic experts, and enter AI-focused communities—this way, you’ll stay informed about the latest advancements and trends.

Step 13: Staying Updated on Emerging AI Trends and Technologies

Keep up with the advancements in deep learning, generative AI, and other related technologies. Get new information from magazines, follow people who know a lot about the latest advancements, and go to industry events and conferences. So, your team will know what’s going on in the tech world and can leverage the latest achievements to make your app even better.

Step 14: Assessing User Experience and Feedback

Make sure you’re always thinking about the people who use your products. If you gather user feedback constantly, you’ll understand how to introduce optimal functionality when building apps with AI. Conduct usability testing, analyze user behavior patterns, and incorporate this feedback into your development roadmap to ensure your app remains user-centric and aligned with evolving needs.

Step 15: Continuous Iterations

To secure impeccable performance, you should constantly iterate and enhance your solutions based on user feedback, performance metrics, and emerging trends. Regularly evaluate your strategies, tech stack, and infrastructure to detect areas for enhancement or optimization. Prioritize continuous learning and adaptation to ensure your app remains relevant and competitive.

Conclusion

Embracing artificial intelligence is a must if you want your app to stay successful and relevant in the long run. With the 15 steps mentioned in this guide, you’ll be ready to make the most of AI and keep your app ahead of the game. Start now to make sure your solution is ready for whatever comes next in the digital world.

Photo of author

Author

Dave

Hello, I'm Dave! I'm an Apple fanboy with a Macbook, iPhone, Airpods, Homepod, iPad and probably more set up in my house. My favourite type of mobile app is probably gaming, with Genshin Impact being my go-to game right now.

Read more from Dave

appsuk-symbol-cropped-color-bg-purple@2x

Apps UK
International House
12 Constance Street
London, E16 2DQ