{"id":13090,"date":"2025-11-19T16:38:31","date_gmt":"2025-11-19T16:38:31","guid":{"rendered":"https:\/\/cheesecakelabs.com\/blog\/"},"modified":"2026-03-06T17:16:09","modified_gmt":"2026-03-06T17:16:09","slug":"ai-use-cases","status":"publish","type":"post","link":"https:\/\/cheesecakelabs.com\/blog\/ai-use-cases\/","title":{"rendered":"AI Use Cases &amp; Applications: How Businesses Are Leveraging AI"},"content":{"rendered":"\n<p>AI has officially entered the boardroom. Over <a href=\"https:\/\/www.artificialintelligence-news.com\/wp-content\/uploads\/2025\/08\/ai_report_2025.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">80%<\/a> of organizations have started piloting this new class of enterprise technology, driving AI business use cases to an all-time high. Companies that recognize AI\u2019s scale and potential injected <a href=\"https:\/\/hai.stanford.edu\/ai-index\/2025-ai-index-report\/economy\" target=\"_blank\" rel=\"noreferrer noopener\">$252.3 billion<\/a> into the AI arms race last year \u2014 enough to fund 1,000 unicorn startups at $250 million each.<\/p>\n\n\n\n<p>But knowing that AI is powerful is not the same as knowing how to use AI. A sobering <a href=\"https:\/\/www.forbes.com\/sites\/andreahill\/2025\/08\/21\/why-95-of-ai-pilots-fail-and-what-business-leaders-should-do-instead\/\" target=\"_blank\" rel=\"noreferrer noopener\">95%<\/a> of projects \u2014 especially in sales and marketing \u2014 still show zero return.<\/p>\n\n\n\n<p>That\u2019s where many businesses get stuck: between potential and execution. How do you pick a starting point when everything sounds important?<\/p>\n\n\n\n<p>In this post, we\u2019re breaking down successful examples of AI deployments in different industries to showcase how businesses are using artificial intelligence and to give you some ideas worth testing!<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What are AI applications?<\/strong><\/h2>\n\n\n\n<p>AI applications are business tools that perform tasks usually handled by humans \u2014 often faster, more consistently, and at lower cost. They run on artificial intelligence \u2014 systems that replicate certain forms of human judgment, like identifying correlations in data, classifying information, and making predictions.<\/p>\n\n\n\n<p>What makes AI applications distinct from traditional hard-coded software is that they rely on learned patterns (sometimes millions of examples) to get better over time. And because they don\u2019t follow rigid logic trees, they\u2019re more adaptable and can be fine-tuned to deliver exactly the functionality businesses need.<\/p>\n\n\n\n<p>The mechanics vary, but most AI applications are built on a small set of technical foundations:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Natural language processing<\/strong> <strong>(NLP)<\/strong> can be used to parse, summarize, and respond to human language in chatbots, email filters, or internal search.<\/li>\n\n\n\n<li><strong>Computer vision<\/strong> helps machines interpret images \u2014 whether it\u2019s catching a dent on a car panel or digitizing a handwritten form.<\/li>\n\n\n\n<li><a href=\"https:\/\/cheesecakelabs.com\/blog\/machine-learning\/\" type=\"post\" id=\"13425\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Machine learning<\/strong> <strong>(ML)<\/strong><\/a><strong> <\/strong>trains systems to detect trends, flag outliers, or recommend next steps based on real behavior, not static rules.<\/li>\n\n\n\n<li><strong>Robotics and automation<\/strong> combine AI with physical systems to replace repetitive work in environments where precision and volume compete for priority \u2014 think warehouses, factories, or last-mile logistics.<\/li>\n<\/ul>\n\n\n\n<p>You\u2019ve probably heard of <a href=\"https:\/\/www.salesforce.com\/artificial-intelligence\/?d=cta-body-promo-8\" target=\"_blank\" rel=\"noreferrer noopener\">Salesforce\u2019s Einstein GPT<\/a> and <a href=\"https:\/\/www.microsoft.com\/en\/microsoft-365-copilot\/\">Microsoft 365 Copilot<\/a>, among other high-profile artificial intelligence applications in business.<\/p>\n\n\n\n<p>But not all <a href=\"https:\/\/cheesecakelabs.com\/blog\/best-ai-tools-software-engineering\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI tools<\/a> are as visible as these flagship platforms. Some are smaller, tightly scoped systems built to solve one operational problem \u2014 but they&#8217;re incredibly effective because they\u2019re plugged into the right place.<\/p>\n\n\n\n<p>Let\u2019s take a closer look at some of these successful real-world AI applications.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Top AI use cases in business<\/strong><\/h2>\n\n\n\n<p>The applications of artificial intelligence now span every corner of the org chart.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Customer experience\/customer service<\/strong><\/h3>\n\n\n\n<p>Customers are <a href=\"https:\/\/www.thinkwithgoogle.com\/consumer-insights\/consumer-journey\/ageofassistance\/\" target=\"_blank\" rel=\"noreferrer noopener\">more impatient than ever before<\/a>. Not only do they expect accurate and personalized support \u2014 they want it instantly, across every channel.<\/p>\n\n\n\n<p>Executives know it, too: <a href=\"https:\/\/www.ibm.com\/think\/topics\/ai-in-customer-service\" target=\"_blank\" rel=\"noreferrer noopener\">according to IBM, 62%<\/a> acknowledge that generative AI business applications are breaking old assumptions about how to design customer experiences. Those that deployed AI early are already reporting <a href=\"https:\/\/www.ibm.com\/think\/topics\/ai-in-customer-service\" target=\"_blank\" rel=\"noreferrer noopener\">38%<\/a> faster call handling and <a href=\"https:\/\/www.ibm.com\/think\/topics\/ai-in-customer-service\" target=\"_blank\" rel=\"noreferrer noopener\">17%<\/a> higher customer satisfaction.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Chatbots<\/strong><\/h4>\n\n\n\n<p>Remember those annoying early-gen chatbots that simply read from a script and looped us around in circles? They\u2019re gone.<\/p>\n\n\n\n<p>New chatbots are using NLP and GenAI to understand intent and resolve requests, handing off to human agents only when escalation is clearly needed.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.scotiabank.com\/corporate\/en\/home\/media-centre\/media-centre\/news-release.html\" target=\"_blank\" rel=\"noreferrer noopener\">Scotiabank<\/a>, for example, is now using Gemini and Vertex AI to power a smart banking assistant that can handle customer questions, suggest next steps, and learn from each interaction.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.youtube.com\/watch?v=I4DTkOBeZ30\" target=\"_blank\" rel=\"noreferrer noopener\">Alaska Airlines<\/a> is also building an AI-powered, on-brand search experience that feels like you\u2019re talking to one of their travel agents. The company hopes that it will help customers book their flights faster.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Personalization<\/strong><\/h4>\n\n\n\n<p>Generative AI and CRM integration is now allowing companies to analyze behavior in real time and tailor support to each customer\u2019s situation \u2014 sometimes <em>before<\/em> they even ask.&nbsp;<\/p>\n\n\n\n<p>IBM helped a German media company do exactly that by building a generative AI assistant that delivered personalized recommendations <a href=\"https:\/\/www.ibm.com\/think\/topics\/ai-in-customer-service\" target=\"_blank\" rel=\"noreferrer noopener\">10x faster<\/a>, boosting customer satisfaction by <a href=\"https:\/\/www.ibm.com\/think\/topics\/ai-in-customer-service\" target=\"_blank\" rel=\"noreferrer noopener\">15%<\/a>.<\/p>\n\n\n\n<p>In the theme park space, <a href=\"https:\/\/cloud.google.com\/transform\/101-real-world-generative-ai-use-cases-from-industry-leaders\" target=\"_blank\" rel=\"noreferrer noopener\">Six Flags<\/a> has built an industry-first digital assistant that can personalize ride recommendations and help guests plan their day around their individual preferences.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Agent assistants<\/strong><\/h4>\n\n\n\n<p>Human agents no longer have to waste time searching through knowledge bases or old tickets. AI assistant tools can almost instantly surface relevant information and even recommend solutions based on past cases \u2014 all within the helpdesk environment.<\/p>\n\n\n\n<p><a href=\"https:\/\/cloud.google.com\/transform\/101-real-world-generative-ai-use-cases-from-industry-leaders\" target=\"_blank\" rel=\"noreferrer noopener\">Bell Canada<\/a>\u2019s customizable contact center solutions are a good working blueprint for this new paradigm. It uses AI-powered agent assistants to handle incoming calls.<\/p>\n\n\n\n<p>When a human agent takes over, its <a href=\"https:\/\/explore.business.bell.ca\/news-and-events\/bell-canada-partners-google-cloud-power-ai-driven-contact-centre-revolution-canadian-businesses\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Agent Assist<\/em><\/a> platform listens in to provide real-time suggestions and sentiment analysis. Altogether, these AI tools have delivered $20 million in savings across customer operations.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Instant case summarization<\/strong><\/h4>\n\n\n\n<p>Have you ever followed up with a helpdesk just to explain the problem all over again because the agent has no idea what you said last time?<\/p>\n\n\n\n<p>Those days may soon be over. AI can review past interactions and auto-generate summaries, so customer service reps can pick up right where the last exchange left off.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.linkedin.com\/posts\/google-cloud_to-better-serve-its-customers-tim-brasil-activity-7382852496060485632-5WFB\/\" target=\"_blank\" rel=\"noreferrer noopener\">TIM Brasil<\/a> now uses Google Cloud Gen AI to transcribe customer service calls and then classify, summarize, and pinpoint what the customer needs. <a href=\"https:\/\/www.youtube.com\/watch?v=1gh1zvuR67E\" target=\"_blank\" rel=\"noreferrer noopener\">Verizon<\/a> also uses it to read and pull out action items from email chains.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Real-time translation<\/strong><\/h4>\n\n\n\n<p>NLP engines can decode and translate requests in real time to serve diverse customer bases, no matter what language they speak. IT consultancy <a href=\"https:\/\/cloud.google.com\/transform\/101-real-world-generative-ai-use-cases-from-industry-leaders\" target=\"_blank\" rel=\"noreferrer noopener\">Zoi<\/a> was one of the early adopters. It uses Gemini in Google Workspace to simplify communication across its teams in 30+ countries.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Operations<\/strong><\/h3>\n\n\n\n<p>Operations teams are under more pressure than ever to do more with less and stay agile through change. That\u2019s why <a href=\"https:\/\/www.ibm.com\/think\/topics\/ai-in-operations-management\" target=\"_blank\" rel=\"noreferrer noopener\">94%<\/a> of business leaders say that AI will be critical to their success in the next five years.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>AI Automation<\/strong><\/h4>\n\n\n\n<p>Robotic process automation (RPA) is increasingly taking on repetitive, rules-based tasks like data entry and invoice processing.<\/p>\n\n\n\n<p>And it\u2019s not just used in back-office finance or logistics \u2014 it\u2019s starting to prove itself in healthcare, too. <a href=\"https:\/\/cloud.google.com\/transform\/101-real-world-generative-ai-use-cases-from-industry-leaders\" target=\"_blank\" rel=\"noreferrer noopener\">Amigo Intelligence<\/a> (built on Google AI technologies) helps clinics automate patient intake, exam analysis, and routine communication, freeing up staff to focus on care instead of admin.<\/p>\n\n\n\n<p>Overall, <a href=\"https:\/\/www.forbes.com\/advisor\/business\/software\/ai-in-business\/\" target=\"_blank\" rel=\"noreferrer noopener\">64%<\/a> of companies report productivity gains from RPA and intelligent project assistants. These tools also streamline design-to-delivery workflows in physical product development and automate <a href=\"https:\/\/cheesecakelabs.com\/blog\/software-qa-best-practices\/\" target=\"_blank\" rel=\"noreferrer noopener\">QA in software engineering<\/a>. Public healthcare systems like the <a href=\"https:\/\/www.this.nhs.uk\/our-services\/professional-services\/robotic-process-automation-rpa\" target=\"_blank\" rel=\"noreferrer noopener\">UK\u2019s NHS are adopting RPA<\/a> as well, using it for tasks such as appointment scheduling and claims management.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Predictive analytics<\/strong><\/h4>\n\n\n\n<p>Do frequent equipment breakdowns put your production goals out of reach by noon? AI can analyze sensor data and maintenance logs to flag early warning signs and prevent the failure altogether, extending the life of your assets and keeping your repair costs predictable.<\/p>\n\n\n\n<p>The results are hard to ignore: one mining firm slashed unplanned downtime by <a href=\"https:\/\/www.ibm.com\/think\/topics\/ai-in-operations-management\" target=\"_blank\" rel=\"noreferrer noopener\">30%<\/a>, gaining back precious production time each month across its sites.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Demand forecasting<\/strong><\/h4>\n\n\n\n<p>ML models can analyze and incorporate weather, seasonality, and even consumer-driven variables, like social media sentiment, to reduce forecasting errors by<a href=\"https:\/\/www.ibm.com\/think\/topics\/ai-in-operations-management\"> 50%<\/a> and cut inventory shortages by<a href=\"https:\/\/www.ibm.com\/think\/topics\/ai-in-operations-management\"> 65%<\/a>.<\/p>\n\n\n\n<p>No wonder European coffee company<a href=\"https:\/\/cloud.google.com\/customers\/tchibogmbh\"> Tchibo<\/a> uses Vertex AI and BigQuery to avoid empty shelves during peak periods, both for its brick-and-mortar shops and online store. German e-commerce giant<a href=\"https:\/\/cloud.google.com\/transform\/101-real-world-generative-ai-use-cases-from-industry-leaders\"> OTTO<\/a> also used Google\u2019s<a href=\"https:\/\/research.google\/pubs\/long-horizon-forecasting-with-tide-time-series-dense-encoder\/\"> TiDE model<\/a> to improve forecasting by 30%.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Supply chain optimization<\/strong><\/h4>\n\n\n\n<p>If you have ever wanted to see a live feed of your supply chain \u2014 not just where shipments are but what\u2019s threatening to disrupt them \u2014 AI makes that possible. It can adjust routes based on port delays and rebalance procurement plans in response to geopolitical events and supplier risks.<\/p>\n\n\n\n<p>Digital freight forwarder <a href=\"https:\/\/www.monashees.com\/portfolio\/nowports\" target=\"_blank\" rel=\"noreferrer noopener\">Nowports<\/a> uses it to spot volatile routes early and adjust its freight strategies.&nbsp;<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Also read about: <a href=\"https:\/\/cheesecakelabs.com\/blog\/blockchain-in-supply-chain\/\" target=\"_blank\" rel=\"noreferrer noopener\">Blockchain in Supply Chain Management: Streamlining Operations<\/a><\/p>\n<\/blockquote>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Training and staff support<\/strong><\/h4>\n\n\n\n<p>The AI systems we have trained can now train us, too! AI is now widely used to coach new hires and shorten onboarding.<\/p>\n\n\n\n<p>It can even personalize training programs to an employee\u2019s skill level and pace to make instruction more efficient in high-turnover industries. Call center provider Transcom \u2014 which uses Gemini to train its agents \u2014 has sped up customer research by <a href=\"https:\/\/workspace.google.com\/customers\/transcom\/\" target=\"_blank\" rel=\"noreferrer noopener\">70%<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Product innovation<\/strong><\/h3>\n\n\n\n<p>With <a href=\"https:\/\/www.forbes.com\/sites\/eriklarson\/2023\/10\/25\/five-reasons-why-innovation-decisions-succeed-25x-more-often-at-top-companies\/\" target=\"_blank\" rel=\"noreferrer noopener\">40%<\/a> of new products failing, teams need to make better design and engineering decisions earlier in the development cycle.<\/p>\n\n\n\n<p>Can AI help? Early results from AI for product development look promising. It\u2019s been shown to shorten time to market by <a href=\"https:\/\/www.mckinsey.com\/industries\/technology-media-and-telecommunications\/our-insights\/how-generative-ai-could-accelerate-software-product-time-to-market\" target=\"_blank\" rel=\"noreferrer noopener\">5%<\/a>, improve PM productivity by <a href=\"https:\/\/www.mckinsey.com\/industries\/technology-media-and-telecommunications\/our-insights\/how-generative-ai-could-accelerate-software-product-time-to-market\" target=\"_blank\" rel=\"noreferrer noopener\">40%<\/a>, and even improve employee experience by <a href=\"https:\/\/www.mckinsey.com\/industries\/technology-media-and-telecommunications\/our-insights\/how-generative-ai-could-accelerate-software-product-time-to-market\" target=\"_blank\" rel=\"noreferrer noopener\">100%<\/a>.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Generative AI<\/strong><\/h4>\n\n\n\n<p>Love Cheetos? If they\u2019re tasting especially satisfying lately, generative AI might be the reason.<a href=\"https:\/\/www.blockchain-council.org\/news\/how-pepsico-is-using-generative-ai-to-get-the-perfect-shape-and-flavor-of-cheetos\/\">&nbsp;<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.blockchain-council.org\/news\/how-pepsico-is-using-generative-ai-to-get-the-perfect-shape-and-flavor-of-cheetos\/\" target=\"_blank\" rel=\"noreferrer noopener\">PepsiCo<\/a> is using AI to perfect this best-selling snack\u2019s flavor and shape, and relies on AI agents to continuously monitor and adjust temperature and moisture during production.<\/p>\n\n\n\n<p>This AI use case shows just how far gen AI has come in ideation and early testing. Companies now routinely use it to come up with new product concepts and nudge teams past creative blocks.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Recommendation systems<\/strong><\/h4>\n\n\n\n<p>With personalization driving up to <a href=\"https:\/\/www.mckinsey.com\/capabilities\/growth-marketing-and-sales\/our-insights\/the-value-of-getting-personalization-right-or-wrong-is-multiplying\" target=\"_blank\" rel=\"noreferrer noopener\">40%<\/a> more revenue, recommender logic is becoming a core part of the product experience. Netflix arguably sets the standard here \u2014 its AI analyzes viewing behavior so effectively that over <a href=\"https:\/\/hellopm.co\/netflix-content-recommendation-system-product-analytics-case-study\/\" target=\"_blank\" rel=\"noreferrer noopener\">80%<\/a> of total watch time now comes through its recommendation engine.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Data analytics<\/strong><\/h4>\n\n\n\n<p>Drowning in endless trails of usage logs and market data? AI can spot trends and opportunities across massive datasets \u2014 NLP can extract structured insights from reviews, comments, and support tickets, while ML can detect hidden patterns. Use them well, and these insights can help you position your products better.<\/p>\n\n\n\n<p>Italy\u2019s largest bank, <a href=\"https:\/\/www.gobeyond.ai\/ai-resources\/case-studies\/intesa-google-cloud-ai-data-lab\" target=\"_blank\" rel=\"noreferrer noopener\">Intesa Sanpaolo<\/a>, recognized that value early and leaned into it. It uses AI to give its analysts faster access to data, which they then use to protect the bank from risk and improve its financial products.&nbsp;<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Rapid prototyping and rapid deployment<\/strong><\/h4>\n\n\n\n<p>Thanks to AI and ML, rapid prototyping is no longer reserved just for well-funded projects. You can use AI to simulate product performance and run predictive usability before you roll up your sleeves and build.<\/p>\n\n\n\n<p>This has sped up iteration cycles in both manufacturing and <a href=\"https:\/\/cheesecakelabs.com\/blog\/ai-for-software-development\/\" target=\"_blank\" rel=\"noreferrer noopener\">software development<\/a>.<a href=\"https:\/\/www.engineering.com\/hypercar-created-using-3d-printing-ai-and-robotics\/\" target=\"_blank\" rel=\"noreferrer noopener\"><br><br>Czinger Vehicles<\/a> used generative design, 3D printing, and AI workflows to build the famous Czinger 21C hypercar (and <a href=\"https:\/\/www.topgear.com\/car-reviews\/czinger\/21c\/first-drive\" target=\"_blank\" rel=\"noreferrer noopener\">it got good reviews<\/a>!).<\/p>\n\n\n\n<p>On the deployment side, <a href=\"https:\/\/swirlaiconnect.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">enterprise AI search company SWIRL<\/a> partnered with Cheesecake Labs to break down data silos across platforms like Snowflake and Salesforce. They built secure integration pipelines and a natural language interface, cutting internal search time by 80% and speeding up decision-making.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/cheesecakelabs.com\/portfolio\/swirl-ai-connect\" target=\"_blank\" rel=\" noreferrer noopener\"><img decoding=\"async\" width=\"1190\" height=\"549\" src=\"https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/swirl-case-study-cheesecake-labs.png\" alt=\"swirl ai connect use case cheesecake labs\" class=\"wp-image-13093\" srcset=\"https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/swirl-case-study-cheesecake-labs.png 1190w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/swirl-case-study-cheesecake-labs-600x277.png 600w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/swirl-case-study-cheesecake-labs-768x354.png 768w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/swirl-case-study-cheesecake-labs-760x351.png 760w\" sizes=\"(max-width: 1190px) 100vw, 1190px\" \/><\/a><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Industry-specific <\/strong><strong>AI use cases<\/strong><\/h2>\n\n\n\n<p>Artificial intelligence is earning its keep in hospitals, trading floors, and factory floors \u2014 here are some key ways major industries are putting AI to work.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>AI use cases in healthcare<\/strong><\/h3>\n\n\n\n<p>It won\u2019t be long until AI becomes a full-fledged ally in frontline care. Models trained on thousands of scans now <a href=\"https:\/\/www.weforum.org\/stories\/2025\/08\/ai-transforming-global-health\/\" target=\"_blank\" rel=\"noreferrer noopener\">outperform doctors<\/a> in detecting stroke-related brain injuries and can even estimate when a stroke occurred. They\u2019re also helping emergency departments <a href=\"https:\/\/www.weforum.org\/stories\/2025\/08\/ai-transforming-global-health\/\" target=\"_blank\" rel=\"noreferrer noopener\">catch bone fractures that humans miss<\/a> in up to 10% of cases.<\/p>\n\n\n\n<p>That dream of predictive, pre-symptomatic care? It might be closer to clinical rollout than we think. Pharmaceutical giant AstraZeneca developed an AI system that uses data from over 500,000 people to <a href=\"https:\/\/www.astrazeneca.com\/media-centre\/medical-releases\/astrazeneca-new-ai-technology-milton-predicts-more-than-1000-diseases-before-diagnosis.html\" target=\"_blank\" rel=\"noreferrer noopener\">predict disease risks<\/a> years before symptoms appear.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>AI use cases in finance<\/strong><\/h2>\n\n\n\n<p>After years of twiddling their thumbs because of data privacy concerns, the financial industry is finally warming up to AI.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.ey.com\/en_gr\/insights\/financial-services\/how-artificial-intelligence-is-reshaping-the-financial-services-industry\" target=\"_blank\" rel=\"noreferrer noopener\">JP Morgan Chase<\/a> now uses it to validate payments and reduce false rejections by 20%. AI tools are analyzing more data points to build fuller borrower profiles and generate more accurate credit scores.<\/p>\n\n\n\n<p>Fintech startups are making headway, too. <a href=\"https:\/\/www.knapsack.ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Knapsack\u2019s AI-powered transcription platform<\/a> for financial advisors, which automates meeting summaries and compliance checks, has <a href=\"https:\/\/techcrunch.com\/2025\/10\/09\/knapsack-picks-up-10m-to-help-bridge-the-gap-between-design-and-engineering-teams\/\" target=\"_blank\" rel=\"noreferrer noopener\">raised $20.8 million in funding so far<\/a>.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/cheesecakelabs.com\/portfolio\/knapsack\/\" target=\"_blank\" rel=\" noreferrer noopener\"><img decoding=\"async\" width=\"1190\" height=\"549\" src=\"https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/knapsack-case-study-cheesecake-labs.png\" alt=\"ai knapsack case study cheesecake labs\" class=\"wp-image-13091\" srcset=\"https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/knapsack-case-study-cheesecake-labs.png 1190w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/knapsack-case-study-cheesecake-labs-600x277.png 600w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/knapsack-case-study-cheesecake-labs-768x354.png 768w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/knapsack-case-study-cheesecake-labs-760x351.png 760w\" sizes=\"(max-width: 1190px) 100vw, 1190px\" \/><\/a><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>AI use cases in logistics<\/strong><\/h2>\n\n\n\n<p>Beyond the usual process automation and route optimization, warehouses have started using <a href=\"https:\/\/www.dhl.com\/global-en\/delivered\/innovation\/ai-trends-in-logistics.html\" target=\"_blank\" rel=\"noreferrer noopener\">AI-powered cameras<\/a> to monitor inventory and detect anomalies. They\u2019re also deploying <a href=\"https:\/\/www.dhl.com\/global-en\/delivered\/innovation\/ai-trends-in-logistics.html\" target=\"_blank\" rel=\"noreferrer noopener\">audio AI<\/a> to listen for unusual machine noise and detect equipment strain or fatigue.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>AI use cases in retail<\/strong><\/h2>\n\n\n\n<p>Ever notice a shirt drop a few dollars after you leave it in your cart? That\u2019s AI sensing your indecision and nudging you to buy.&nbsp;<\/p>\n\n\n\n<p>But it doesn\u2019t stop there. AI also <a href=\"https:\/\/www.forbes.com\/sites\/sap\/2024\/04\/19\/artificial-intelligence-in-retail-6-use-cases-and-examples\/\" target=\"_blank\" rel=\"noreferrer noopener\">scans competitor pricing<\/a>, reviews, and even local weather to adjust promotions on the fly. It can even <a href=\"https:\/\/www.forbes.com\/sites\/sap\/2024\/04\/19\/artificial-intelligence-in-retail-6-use-cases-and-examples\/\" target=\"_blank\" rel=\"noreferrer noopener\">predict what will sell<\/a> next week and restock accordingly.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Key Generative AI Trends to Watch<\/strong><\/h2>\n\n\n\n<p>Many of today\u2019s AI deployments simply respond to our prompts, but the next wave of generative AI will actually create on our behalf.<\/p>\n\n\n\n<p>It\u2019s becoming intelligent enough to handle tasks end-to-end and lifelike enough to mimic human voices and faces. A little unsettling? Maybe. But stronger privacy and synthetic safeguards should (hopefully) limit misuse.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>AI agents<\/strong><\/h3>\n\n\n\n<p>We might be able to start delegating context-sensitive tasks to <a href=\"https:\/\/cheesecakelabs.com\/blog\/ai-agents-mcp-a2a-protocols\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI agents<\/a> in the near future. Need to stitch together several flights to visit three countries within five days? Your agent will understand exactly what you need and do multi-platform bookings for you.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Gen AI video<\/strong><\/h3>\n\n\n\n<p>AI-generated videos are still a bit awkward and unnatural right now, but new tools like Runway, Synthesia, and Visla are promising much smoother motion and dynamic composition. Analysts predict that it may be <a href=\"https:\/\/www.visla.us\/blog\/editorials\/the-future-of-ai-video-generation\/\" target=\"_blank\" rel=\"noreferrer noopener\">hard to tell AI video from real footage by 2030<\/a> (that\u2019s really soon).&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Synthetic data for analytics<\/strong><\/h3>\n\n\n\n<p>Did you know that generative AI can now create <a href=\"https:\/\/www.forbes.com\/sites\/bernardmarr\/2025\/10\/13\/10-generative-ai-trends-in-2026-that-will-transform-work-and-life\/#:~:text=7.%20Synthetic%20Data%20For%20Analytics%20And%20Simulation\" target=\"_blank\" rel=\"noreferrer noopener\">synthetic data<\/a> that mimics real-world patterns without exposing personal information? These datasets are statistically realistic but completely artificial, so they can be safely used to test and train models in privacy-sensitive fields, like banking and healthcare.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Privacy-focused Gen AI<\/strong><\/h3>\n\n\n\n<p>Amid growing public pushback over data privacy, regulators are taking a harder line on <a href=\"https:\/\/www.forbes.com\/sites\/garydrenik\/2025\/05\/22\/gen-ai-struggles-with-privacy-data-protection-tech-offers-a-solution\/\" target=\"_blank\" rel=\"noreferrer noopener\">GDPR and HIPAA compliance<\/a>. There\u2019s also been more R&amp;D activity in <a href=\"https:\/\/www.forbes.com\/sites\/garydrenik\/2025\/05\/22\/gen-ai-struggles-with-privacy-data-protection-tech-offers-a-solution\/\" target=\"_blank\" rel=\"noreferrer noopener\">fully homomorphic encryption<\/a>, which enables AI to run computations on encrypted data without ever decrypting it.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How to identify the right AI use case for your business<\/strong><\/h2>\n\n\n\n<p>So now that we\u2019ve seen all of these practical AI use cases for startups and established enterprises alike, how do you know what type of AI could be helpful in your business?<\/p>\n\n\n\n<p>Many AI initiatives end up underused because they were poorly chosen or rushed into. If you\u2019re serious about integrating AI into your business, you need to find use cases that work with the data you already have.<\/p>\n\n\n\n<p>The best place to start is with a problem, not the model \u2014 one that\u2019s measurable, recurring, and costly enough to matter.<\/p>\n\n\n\n<p><strong>Then ask: Could AI reasonably help fix this? Use structured decision questions to guide the choice:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Is the problem deterministic (rules) or fuzzy (judgment, language)?<\/li>\n\n\n\n<li>Can the business tolerate occasional errors, or must outputs be exact?<\/li>\n\n\n\n<li>Do you have structured, labeled data (best for ML) or is this primarily text and unstructured content (best for GenAI)?<\/li>\n\n\n\n<li>Does the task need real-time speed, or can it run asynchronously?<\/li>\n\n\n\n<li>Does the output require explainability?<\/li>\n\n\n\n<li>Is this a single-step prediction or a multi-step workflow that may need an agent?<\/li>\n<\/ul>\n\n\n\n<p>These questions help determine whether the right solution is classical ML, GenAI, an agent-based system, or simply a rule-based approach.<\/p>\n\n\n\n<p><strong>Before investing, map potential use cases on:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Use an impact-vs-feasibility grid to spot low-effort, high-return opportunities.<\/li>\n\n\n\n<li>Get buy-in from leadership and end users early to avoid resistance and misalignment.<\/li>\n\n\n\n<li>Pilot in a focused setting where success is easier to measure. Start small and prove the value before scaling.<\/li>\n<\/ul>\n\n\n\n<p><strong>It\u2019s also important to look past short-term wins because even successful pilots don\u2019t always scale well:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Will it integrate cleanly with current systems?<\/li>\n\n\n\n<li>Can other teams use this?<\/li>\n\n\n\n<li>What will it cost to maintain and govern long-term?<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong><a href=\"https:\/\/cheesecakelabs.com\/services\/ai-development\" target=\"_blank\" rel=\"noreferrer noopener\">AI Development with Cheesecake Labs<\/a><\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/cheesecakelabs.com\/contact\/\" target=\"_blank\" rel=\" noreferrer noopener\"><img decoding=\"async\" width=\"1200\" height=\"472\" src=\"https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/cheesecake-labs-ai-development-company-1200x472.png\" alt=\"cheesecake labs ai development company\" class=\"wp-image-13095\" srcset=\"https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/cheesecake-labs-ai-development-company-1200x472.png 1200w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/cheesecake-labs-ai-development-company-600x236.png 600w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/cheesecake-labs-ai-development-company-768x302.png 768w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/cheesecake-labs-ai-development-company-1536x604.png 1536w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/cheesecake-labs-ai-development-company-760x299.png 760w, https:\/\/ckl-website-static.s3.amazonaws.com\/wp-content\/uploads\/2025\/11\/cheesecake-labs-ai-development-company.png 1924w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/figure>\n\n\n\n<p>At Cheesecake Labs, our expert team can help you go from concept to launch, combining product strategy, UX\/UI, and engineering with hands-on AI integration and development experience.<\/p>\n\n\n\n<p>Whether you\u2019re starting from scratch or adding AI to an existing system, we\u2019ll work closely with you at every step. We start by identifying the right use case for your business, then design an intuitive interface and build a product that\u2019s fast, secure, and structured for broader rollout.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>AI business use cases FAQs<\/strong><\/h2>\n\n\n\n<div class=\"schema-faq wp-block-yoast-faq-block\"><div class=\"schema-faq-section\" id=\"faq-question-1763565799428\"><strong class=\"schema-faq-question\"><strong>What are the top 5 applications of AI?<\/strong><\/strong> <p class=\"schema-faq-answer\">The top 5 most promising applications of artificial intelligence are in healthcare, finance, customer service, retail, and manufacturing. In these sectors, AI helps automate tasks, predict trends, personalize experiences, and reduce human error.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1763565811330\"><strong class=\"schema-faq-question\"><strong>What are real-world examples of AI in business?<\/strong><\/strong> <p class=\"schema-faq-answer\">AI is used in business for fraud detection, disease prediction, customer support, demand forecasting, supply chain risk analysis, and much more.\u00a0\u00a0<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1763565833289\"><strong class=\"schema-faq-question\"><strong>How do companies start using AI?<\/strong><\/strong> <p class=\"schema-faq-answer\">Start by identifying a repetitive, data-relevant problem. <a href=\"https:\/\/cheesecakelabs.com\/blog\/ai-classification\/\" target=\"_blank\" rel=\"noreferrer noopener\">Make sure that your data is clean<\/a>, align your teams, and work with AI experts like <a href=\"https:\/\/cheesecakelabs.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cheesecake Labs<\/a> to build a solution that fits your workflow.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1763565944391\"><strong class=\"schema-faq-question\"><strong>How can AI be used in my business?<\/strong><\/strong> <p class=\"schema-faq-answer\">AI can support your business by automating decisions, predicting outcomes, and personalizing services. Use cases vary by industry \u2014 from delivery optimization to content recommendations.<br\/><a href=\"https:\/\/cheesecakelabs.com\/contact\/\" target=\"_blank\" rel=\"noreferrer noopener\">Talk to us about your idea<\/a>, and let\u2019s see how AI can help your business!<\/p> <\/div> <\/div>\n","protected":false},"excerpt":{"rendered":"<p>AI has officially entered the boardroom. Over 80% of organizations have started piloting this new class of enterprise technology, driving AI business use cases to an all-time high. Companies that recognize AI\u2019s scale and potential injected $252.3 billion into the AI arms race last year \u2014 enough to fund 1,000 unicorn startups at $250 million [&hellip;]<\/p>\n","protected":false},"author":81,"featured_media":13097,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1288,432],"tags":[1308,1335,1337],"class_list":["post-13090","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-engineering","tag-ai-development","tag-ai-integration","tag-ai-use-cases"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI Use Cases &amp; Applications: How Businesses Are Leveraging AI<\/title>\n<meta name=\"description\" content=\"Explore real AI use cases and examples for businesses, from automation to product innovation, and learn to identify the right one for your company.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cheesecakelabs.com\/blog\/ai-use-cases\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Use Cases &amp; 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