12 Most Popular AI Use Cases in the Enterprise Today

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Artificial intelligence (AI) is revolutionizing businesses across industries, delivering value in various ways. From optimizing costs to improving customer service, AI is making a significant impact. In this article, we will explore the 12 most popular AI use cases in the enterprise today, highlighting how companies are harnessing AI’s potential to drive business success.

Cloud Pricing Optimization

As companies increasingly rely on cloud services, optimizing cloud costs becomes crucial. AI plays a vital role in helping organizations reduce cloud expenses and find cost-effective solutions. For example, Airbnb utilizes AI to optimize pricing on AWS, managing capacity, and building custom cost and usage data tools. Dropbox also leverages AI to optimize cloud costs, saving millions of dollars in the process. AI tools analyze cloud usage patterns, detect anomalies, and identify opportunities for cost-saving, ultimately optimizing cloud pricing and spending.

Voice Assistants, Chatbots, and Conversational AI

Conversational AI tools, such as chatbots and voice assistants, have gained popularity for their ability to enhance customer support and reduce the load on human representatives. Estée Lauder, for instance, released a voice-enabled makeup assistant to assist visually impaired individuals with makeup application. Pentagon Credit Union (PenFed) utilizes chatbots and conversational AI to provide customers with quick answers to common queries. These AI-powered tools offer support, improve accessibility, and streamline customer service operations.

Uptime/Reliability Optimization

Maintaining uptime and website reliability is crucial for organizations that heavily rely on web services or e-commerce. AI helps companies achieve this by continuously scanning systems for inefficiencies, potential disruptions, and looming threats. Major organizations like Netflix, Uber, and Facebook employ AI to monitor and maintain their services, ensuring they are available to customers. By using AI, companies can identify and address problems proactively, reducing instances of crashing, hacking, and human error.

Predictive Maintenance

AI is instrumental in predictive maintenance, analyzing data from various sources to detect potential issues and ensure safety and efficiency. GE leverages AI to analyze data from aircraft engines, identifying maintenance needs and ensuring overall flight safety. Rolls-Royce utilizes AI to improve jet engine efficiency, reduce carbon emissions, and streamline maintenance schedules. Even the District of Columbia Water and Sewer Authority uses predictive maintenance to identify water main breaks and monitor collection systems, enhancing operational efficiency.

Customer Service Operations

AI has become a go-to tool for customer service operations, helping organizations provide better support while alleviating the burden on service representatives. During the COVID-19 pandemic, Lufthansa Group experienced disruptions, leading to an overwhelming volume of customer inquiries. To address this, Lufthansa accelerated its digital transformation efforts, leveraging AI to handle customer queries more efficiently. AI enables companies to meet customer expectations for real-time service and consistent cross-channel experiences. Unilever, for example, uses AI to minimize food waste and auto-generate product listings while filtering customer service emails.


AI enables companies to deliver highly personalized experiences to their customers. By leveraging data, customer engagement, and various AI techniques, companies like Spotify, Amazon, and YouTube curate content and recommendations tailored to individual users’ preferences. Nordstrom utilizes AI to gain deeper insights into customer activities and deliver personalized experiences. The company also employs AI for inventory control, fulfillment, and routing orders to the nearest store. AI personalization enhances customer satisfaction and drives engagement.

IT Operations Management

AI-powered IT operations management (AIOps) platforms are gaining traction, assisting enterprises in various areas. These platforms provide intelligent alerting, root cause analysis, threat detection, incident auto-remediation, and capacity optimization. Delta Airlines utilizes AIOps to maintain reliability during disruptions, leveraging a full-scale digital simulation environment. This allows the airline to make critical decisions and minimize disruptions. AIOps platforms help organizations optimize IT operations, ensuring smooth and efficient processes.

Process Automation

AI has proven to be an invaluable tool for automating time-consuming and error-prone processes. By automating these processes, companies can free up employees to focus on more complex tasks. Atlantic Health System streamlines the process of obtaining prior authorizations by leveraging process automation. Johnson & Johnson combines robotic process automation (RPA) with AI and machine learning to automate complex processes spanning multiple departments. Automation improves efficiency, reduces errors, and enhances productivity.

Financial Reporting and Accounting

AI plays a significant role in improving data analysis for financial planning. Intuit utilizes AI-driven consumer interactions and Generative AI Operating System (GenOS) platform to enhance financial planning processes. PwC leverages AI in consulting through natural language processing, machine learning, and deep learning. AI enables better data analysis, reduces repetitive tasks, and improves accuracy in financial reporting and accounting.


AI is transforming the recruiting and hiring process, making it more efficient and accurate. Amazon utilizes AI to screen resumes, match candidates with suitable roles, and perform initial online assessments. Unilever partnered with Pymetrics to assess candidates through video software, analyzing body language and word choice. AI-driven hiring processes reduce manual labor, speed up hiring decisions, and identify the best candidates for the job.

Safety and Quality

AI helps organizations automate and streamline safety and quality assurance processes, minimizing risks and ensuring better product and service quality. Boeing utilizes AI to detect anomalies in aircraft sensors, analyze data, and improve flight safety. Google implements AI safety features in its Nest products to detect intruders and emergencies. Shield AI’s Hivemind technology enables autonomous flight without GPS or human pilots. AI-driven safety measures enhance security, reduce risks, and improve overall quality.

Workforce Schedule Optimization

AI assists companies in optimizing workforce schedules, considering factors like employee availability, customer traffic, and skillsets. Walmart, Starbucks, Costco, Delta Airlines, and Target harness AI technology to identify the best schedules for their organizations. AI-based workforce scheduling improves efficiency and ensures optimal resource allocation.

In conclusion, AI is transforming businesses across industries, delivering value through various use cases. From optimizing costs to enhancing customer service, AI is revolutionizing the enterprise. By embracing AI technologies, companies can stay ahead of the curve and unlock new opportunities for growth and success.


What are good questions to ask an AI?

Good questions to ask an AI include inquiries about factual information, recommendations, problem-solving assistance, or opinions on various topics, tailored to the AI’s expertise and capabilities.

What are some use cases where AI is used?

AI is used in various industries for tasks like predictive analytics in finance, personalized recommendations in e-commerce, medical diagnosis in healthcare, and autonomous vehicles in transportation.

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