Top 10 AI Business Use Cases in 2024 with Examples

Artificial intelligence (AI) is becoming a powerful tool for businesses, but let's be honest, AI isn't the solution to every problem. So, the real question is, which business case is better solved by artificial intelligence? AI shines in areas where handling massive amounts of data or automating repetitive tasks can save time and boost efficiency. It's not about using AI everywhere; it's about knowing where it can make things work smoother, faster, and smarter. 

In this blog, we'll examine specific scenarios in which AI isn't just helpful, it's the best tool for the job.

What is AI in Business?

At its core, AI is about machines replicating human intelligence, learning from data, reasoning, and improving over time. AI powers customer service, chatbots help predict maintenance needs and optimizes workflows across industries. But AI's not one-size-fits-all, so how do businesses determine which business case is better solved by artificial intelligence?

AI in business revolves around:

• Learning: Gaining information and forming rules from data.
• Reasoning: Applying those rules to reach decisions or predictions.
• Self-correction: Continuously improving as new data becomes available.

AI is everywhere, from e-commerce to healthcare, but which business case is better solved by artificial intelligence? Read on to find out which sectors benefit the most.

Why Use AI in Business?

Deciding which business case is better solved by artificial intelligence requires understanding AI's core benefits. Businesses worldwide are investing in AI for four key reasons:

1. Efficiency: By automating the mundane, AI lets employees focus on the big picture. Did you know AI can save you 20-30% on operating costs? Businesses that use AI report these savings, as seen with Netflix's use of AI to recommend content, where algorithms handle the data and employees focus on innovation.
2. Data Analysis: AI can analyze vast amounts of data in real time and spot trends humans might miss. General Electric (GE) uses AI to monitor jet engines and predict maintenance needs, reducing failures and costs. This ability to solve problems proactively shows which business case is better solved by artificial intelligence.
3. Cost Reduction: AI reduces errors and simplifies operations to save big. For example, companies using AI-powered chatbots save up to 30% on customer service costs by automating responses and handling the mundane efficiently.
4. Enhanced Customer Experience: AI personalizes customer interactions and increases engagement. Did you know? Businesses using AI-driven marketing see an 80% increase in customer engagement. Tools like Amazon's recommendation engine show which business case is better solved by artificial intelligence, as personalized product recommendations upsell.

AI’s strengths in efficiency, data analysis, cost reduction, and customer experience make it indispensable for businesses today. With examples like Netflix, GE, and Amazon, it’s clear why AI is essential for staying competitive. Now, let’s explore the top 10 business cases where AI truly shines.

Top 10 Business Cases Better Solved by AI

Now, let's examine which business case is better solved by artificial intelligence across various industries. These scenarios showcase where AI has the most significant impact.

1. Personalized Customer Experience: With AI’s ability to process vast amounts of customer data, businesses can deliver tailored interactions, from product recommendations to customized messages. This level of personalization goes beyond segmentation, creating super-specific, relevant experiences that drive engagement, loyalty and revenue. As customer expectations rise, personalization powered by AI is a must-have to stay ahead.

Example: Amazon's recommendation engine is a textbook example of which business case is better solved by artificial intelligence. By looking at user browsing and purchase history, Amazon sells more through personalization. Companies using AI for personalization see a 10-20% increase in revenue.

Did You Know? Personalized marketing strategies powered by AI have led to an 80% increase in customer engagement for many businesses.

Beyond personalizing customer experiences, AI's ability to enhance safety and operational control is equally vital.

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2. Safety Control: In high-risk environments, AI is redefining safety protocols. By analyzing real-time data from sensors, cameras and other monitoring devices, AI can detect potential hazards before they happen, ensuring compliance and overall safety. This proactive approach is critical in industries where safety is paramount, providing instant alerts and rapid response to reduce risk.

Example: Tesla's Autopilot system uses AI to monitor the road and driver behavior, reducing accidents and improving overall safety. This proactive approach is the business case for which artificial intelligence is better suited, especially in industries where safety is critical.

With safety under control, let's explore how AI can optimize workforce management.

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3. Workforce Optimization: AI-driven workforce management solutions predict staffing needs by analyzing both historical data and real-time conditions so you can build better schedules that match demand. This reduces labour costs and improves employee satisfaction by preventing over-scheduling or understaffing. AI optimizes the workforce in real time, so resources are used effectively across fluctuating conditions.

Example: Hilton Hotels used AI for staff scheduling and saw a 25% increase in employee satisfaction and operational efficiency. AI eliminates scheduling conflicts, so which business case is better solved by artificial intelligence when managing a large workforce?

Now that AI has optimized the workforce, let's see how it simplifies content creation.

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4. Content Creation: AI is a game changer for content-driven industries, automating routine writing tasks such as product descriptions, news summaries and social media posts. By analyzing trends and identifying relevant topics, AI can produce high-quality content faster so your creative teams can focus on strategy and innovation. This automation increases productivity and supports consistent content output.

Example: The Washington Post uses its AI-powered tool, Heliograf, to write short news reports. This automation allows journalists to focus on more profound work. AI's ability to analyze trends and write shows which business case is better solved by artificial intelligence in the media and content industries.

From creating content to enhancing security, AI's role in user authentication is crucial for businesses.

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5. User Authentication: Security is key in today’s digital world and AI makes it stronger with advanced user authentication methods like biometric and behavioral analysis. AI can see patterns in user behavior and detect anomalies, reducing the risk of unauthorized access. AI gives you security without sacrificing convenience and builds trust and safety across digital platforms.

For example, Apple's Face ID and Mastercard's biometric cards use AI to authenticate users. Artificial intelligence is better suited for these business cases in industries that need high security.

Did You Know? In India 67% of consumers would likely to visit a store using facial recognition technology in retail store, for better customer service.

Moving on from security, let's look at how AI helps businesses predict equipment failures before they happen.

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6. Predictive Maintenance: AI’s predictive capabilities allow businesses to predict when equipment needs maintenance before issues arise, minimize downtime and reduce repair costs. By continuously monitoring equipment performance, AI detects early signs of wear and tear and allows for timely intervention. This prolongs asset life and ensures smooth operations in manufacturing and other asset-heavy industries.

Example: Siemens uses AI to monitor equipment in real-time, predicting maintenance needs and reducing downtime. This kind of predictive insight demonstrates which business case is better solved by artificial intelligence.

While predictive maintenance keeps machines running smoothly, AI also transforms customer support.

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7. Customer Support: AI chatbots and virtual assistants handle 24/7 customer support, dealing with routine tasks and letting human agents focus on complex, high-value interactions. This saves costs and improves response times and customer satisfaction. AI customer support is scalable, so you can handle high volumes of interactions without compromising on service.

Example: Nurix AI’s virtual assistant is built to handle everyday customer questions seamlessly, giving fast, accurate responses anytime, day or night. By taking care of the repetitive stuff, Nurix AI lets human agents focus on those more personalized, complex interactions that need a human touch. It’s a perfect example of how AI shines in customer service, helping businesses deliver reliable, round-the-clock support.

Did You Know? AI chatbots can handle up to 80% of routine inquiries without human intervention.

AI enhances customer service and empowers businesses to make smarter decisions through predictive analytics.

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8. Decision-Making and Predictive Analytics: AI-powered predictive analytics gives you a powerful tool to forecast market trends, customer behavior and operational outcomes. By processing and interpreting large datasets, AI helps you make strategic, data-driven data-driven, proactive, not reactive decisions. Predictive analytics covers everything from inventory management to strategic planning so you can stay ahead of the curve.

Example: Shell uses AI for predictive maintenance and supply chain optimization, enabling the company to avoid potential issues. This clearly demonstrates which business case is better solved by artificial intelligence in strategic decision-making.

Now, let's explore how AI simplifies process automation in businesses.

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9. Process Automation: AI automates mundane and time-consuming tasks like data entry, invoicing and inventory management. This automation improves accuracy and productivity so employees can focus on complex, high-value activities. AI-driven automation optimizes business operations across functions by eliminating manual errors and streamlining processes.

Example: Coca-Cola uses AI to automate supply chain processes, improving delivery efficiency by 15-20%. Process automation is another prime example of which business case is better solved by artificial intelligence.

Finally, let's examine how AI enhances financial reporting.

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10. Financial Reporting: AI simplifies financial reporting by automating data collection, processing and analysis. It ensures accuracy, compliance and timely insights so businesses can be transparent and make informed financial decisions. By reducing the time and effort in financial reporting, AI lets finance teams focus on strategic planning and deeper financial analysis.

Example: JPMorgan Chase's AI assistant COiN automates back-office operations, improving efficiency and reducing errors. This highlights  which business case is better solved by artificial intelligence, especially in financial reporting.

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With these business cases in mind, the next step is understanding how to turn AI from concept to reality within an organization. Implementing AI goes beyond just choosing the right tools; it requires a thoughtful approach to integration, training, and strategy. So, what exactly does it take to bring AI into business operations effectively?

How is AI Implemented in Business?

Implementing AI successfully involves more than just adding a new tool to your workflow, it requires strategic planning and continual refinement. Here's a streamlined process businesses should follow:

1. Identifying Opportunities: Start by figuring out which business case is better solved by artificial intelligence in your business. Look for repetitive tasks, time wasters or areas where AI can help make decisions. Automating customer support, marketing or operational logistics are good places to start.

2. Data Collection: AI needs good data. Businesses must collect relevant, clean, structured data to train their AI models. This includes data from customer interactions, internal processes and historical metrics.

3. Model Development: Businesses build AI models to suit their needs once the data is collected. The model learns from the data to predict trends, automate tasks, or provide insights. Many companies use cloud platforms like AWS for faster deployment and scalability.

4. Integration: AI needs to be integrated into existing business processes. This means the AI tools need to work with other software systems without disrupting the workflow.

5. Monitoring and Optimization: AI isn't static. Continuous monitoring and refining ensure that the system stays accurate and effective as more data becomes available. Regular refinement helps businesses align their AI with changing objectives and market conditions.

By following these steps, businesses can effectively implement AI, ensuring they address which business case is better solved by artificial intelligence for maximum impact.

Make smarter business decisions with AI and boost customer satisfaction instantly with Nurix AI’s AI Agent support. From chat to social media, ensure consistent, 24/7 service across all platforms – all powered by intelligent automation.

Which Business Case is Better Solved by Artificial Intelligence?

AI can't fix everything, but there are specific business problems where AI does a fantastic job. So, which business problem does artificial intelligence solve better? AI excels at extensive data analysis, automating repetitive tasks, and personalizing customer experiences. Customer service, predictive maintenance, and data-driven marketing campaigns are perfect examples of where AI beats traditional methods.

It's not about using AI everywhere, it's about knowing which business case is better solved by artificial intelligence.

Conclusion

Identifying which business case is better solved by artificial intelligence is essential for businesses looking to stay competitive. From personalizing customer experiences to optimizing supply chains, AI has proven to deliver significant value across industries. AI is the solution if you want to reduce costs, improve efficiency, and make smarter decisions.

Ready to see AI in action? Let’s make your business smarter, faster, and more efficient. Reach out to Nurix AI, we’ll help you figure out exactly where AI can make the biggest impact in your business, without any fluff. Let’s make things happen!

FAQs for Which Business Case is Better Solved by Artificial Intelligence

Q1. What kinds of business problems are a perfect fit for AI?
AI really shines with tasks that involve lots of data or repetitive processes. Think of things like predictive maintenance, spotting fraud, or handling customer service requests quickly.

Q2. Can you give me a real-life example of how AI is used in marketing?
Absolutely! Imagine a company using AI to study customer preferences and buying habits to suggest products that are just right for them. This personalised touch can make a huge difference in engagement.

Q3. What’s the most popular way businesses are using AI right now?
Predictive analytics is a big one. Companies use AI to forecast trends and understand patterns, helping them anticipate customer needs and stay ahead of the competition.

Q4. How does AI make customer support better?
AI chatbots can handle common questions around the clock, so customers get answers instantly. This also lets human agents focus on tougher issues that need a personal touch.

Q5. What are some ways AI can help cut costs in a business?
AI saves money by automating tasks, predicting maintenance needs to avoid downtime, and optimising supply chains to reduce waste. It’s all about doing things smarter and more efficiently.

Q6. Can small businesses actually afford to use AI?
Definitely! There are plenty of budget-friendly AI tools out there. Small businesses can use them for things like scheduling social media posts, responding to customer reviews, and even managing emails, making it easier to stay efficient without spending a fortune.