Which Specialists Can AI Replace in Daily Operations of Your Mobile App? Guide for Businesses

7 min readJun 2, 2024

See how AI can considerably improve your mobile app operation and save you money.

AI replacing manual tasks in mobile app operations

Just a few years back, the use of AI in our day-to-day businesses and lives was an outrageous idea. But, now it has found its way through many industries, taking care of tasks that employees hate while saving the business lots of money and time.

This is surely the case in the tech sector, and more so in web and mobile app development. Don’t know how? Let’s see.

So, how is AI changing the business operations of mobile app sectors? Well, AI streamlines and enhances many parts of your system, especially these four:

Customer support. Utilizing natural language processing (NLP), AI-based tools can assist your mobile app in automating the process of answering customer questions. To answer the question, the system will only need to figure out what it means, get the information it needs, and give it to the person in the best way possible.
Security management. AI can find possible security holes in mobile apps and offer ways to fix them by sifting through mountains of data in search of patterns and risks, giving developers a chance to fix security flaws before they escalate.
Data analytics. Advanced AI tools can help you guess how your customers will use the app, what they’ll like, and what they’ll be interested in. You will also get estimates of demand, information on process weaknesses, and other details that will help you be more efficient and productive.
Marketing. AI utilizes real-time data to help with building, designing, and curating content. Plus, by providing accurate market insights, it helps you pinpoint high-value customer segments and improve your KPIs.

Which AI technologies are most effective for automating customer service, and how can they improve user satisfaction?

AI customer service is a way to support customers with minimal assistance from a company support team. Here’s how it happens:

Chatbots. AI-driven chatbots are capable of responding instantly to simple consumer questions and can even help with order tracking, product suggestions, and problem-solving. They are accessible at all times, cutting down on response times and increasing client satisfaction.
Natural language processing (NLP). NLP is a tool that robots can use to decipher human speech. It helps figure out how customers feel, what they need, and how to best meet those wants. NLP can also help with unstructured search, which lets systems understand and be more flexible and engaging in their answers. The option to do this makes robots more useful and helps companies give customers an intuitive, unique experience.
Sentiment analysis. AI sentiment analysis systems continuously track reviews, social media interactions, and client input to understand how customers feel. This helps businesses figure out what they can do better, address customer complaints, and give each customer a unique experience based on their preferences.

How can AI be used to streamline content creation and management in mobile apps?

The use of AI is revolutionizing the way we approach content development and is creating ripples in the industry.

Ideation. A single click is all it takes to use AI-powered writing tools to come up with many ideas. So, you’ll spend more time improving ideas and less time coming up with new ones. Besides, they can create a detailed outline that fully addresses your subject and guarantees a seamless flow of information.
Keyword research. By automatically creating keywords and grouping them, AI tools change keyword research. First, you come up with words and sentences that are related to your area or topic. Using this master list as a starting point, AI can quickly provide hundreds of relevant terms. AI tools do more than just come up with keywords; they also group them into relevant topic clusters that are crucial to SEO.
Proofreading. With the correct AI tools, we can minimize the time it takes to examine material, which completely changes the way we polish and improve your marketing messaging. AI goes beyond mere edit suggestions; it’s like having an indefatigable teammate who’s always prepared to provide a hand in making every line shine. Just select the line you want to change, and AI will make it better by altering the tone, length, and complexity of your sentences.

AI marketing analytics enhances app performance metrics and user targeting

The next pillar is marketing. How can you use AI service for mobile app marketing so you better understand the user and tailor your marketing message to them?

Sentiment analysis

It can be hard for marketers to figure out what customers think about brand efforts or new products. Traditional poll methods give you direct information, but they can take a lot of time.

In contrast, NLP improves sentiment analysis and efficiently scans massive amounts of text to detect sentiment on a massive scale. In other words, AI excels at analyzing data from social media and consumer reviews, helping you better understand customer needs and wants.

ML customer segmentation

Customer segmentation using AI, and more specifically machine learning (ML), helps organize massive volumes of data into meaningful categories.

AI can separate groups based on predicted actions, like how likely it is that a customer will buy from them again or how likely they are to leave. This helps marketers optimize their marketing budgets by zeroing in on high-value clients and tailoring their marketing message to them.

AI’s role in app security and its impact on IT specialists

The beauty of AI’s impact on business security is that you can replace older, manual methods with cutting-edge tools while not going overboard. Some of these tools are:

Biometric authentication. Using AI to make mobile apps has made security measures a lot better. Using face recognition and fingerprint reading, AI-powered biometric security protects users strongly against illegal access, making sure user information is kept private.
Predictive threat detection. AI algorithms can analyze app data in real-time, allowing them to proactively detect and prevent security issues. By offering mobile app maintenance while monitoring user actions, network traffic, and device information, AI can recognize suspicious activities and decrease risks, safeguarding users’ sensitive data.
Intelligent risk management. Building mobile apps using AI also helps in managing risks and detecting fraud. AI systems can analyze user transactions, detect fraudulent tendencies, and alert administrators or users instantly, protecting users’ funds and maintaining their trust.

So, you may ask, what jobs will AI replace in mobile app security? While it’s true that some cybersecurity jobs may become obsolete due to the rise of AI, this trend shows how people’s roles are evolving in the field overall, and in particular for those who perform mundane but essential cybersecurity operations.

How can AI reduce operational costs and increase efficiency?

A core benefit of any AI service for mobile app developers is saving money and streamlining workflows. It happens in different areas:

Automating routine tasks. By taking care of mundane, repetitive chores, AI may greatly streamline the process of creating mobile apps. Code development, troubleshooting, and bug fixes are all part of this. So, this gives you and your development team to spend time and resources on core aspects of the app, such as introducing new features.
Blocking costly breaches. By detecting threats and proposing fixes, AI can also make mobile app security better. Security solutions driven by AI can sift through mountains of data in search of patterns and risks, giving developers the chance to fix security flaws before they escalate.
Quality assurance. Using machine learning techniques, AI testing tools can find bugs, mistakes, and other problems instantly, so devs can fix them before the app goes live. This will save you a huge deal of resources on trial and error or development reruns.
Better marketing ROI. For your mobile app, AI can help you make unique and targeted advertisements that will help you get new users while retaining old ones. Using user data analysis, AI may assist in determining your target demographic, creating personalized marketing messages, and making the most of your marketing budget.

AI’s limitations in replacing human creativity and decision-making

While AI has the potential to automate many processes in various industries, it will never fully replace human experts’ intuition, creativity, and expertise.

Intuitive limitations. One of the key reasons AI can’t replace human intelligence and imagination is because of its inherent limits. Data analysis and repetitive jobs are AI’s strong suits, but it also struggles to understand cultural idiosyncrasies, complicated human emotions, and abstract concepts.
Core interpersonal relationships. Strong interpersonal and collaborative skills are essential for many of these positions. The human aspect is vital in both creative and technological sectors since these jobs need skills and abilities that go beyond just data.
Adaptability. These jobs are also very fluid and ever-evolving, requiring constant learning of novel skills and abilities. There’s no question that AI can help with research and ideas, but it’s up to humans to find novel ways to use this information.

💡 What are the potential challenges of integrating AI into mobile app monetization? Read on TRIARE blog.