AI Case Studies
Real, verified examples of how specific companies have used AI in production — what they did, what results they reported, and what went wrong along the way.
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Sourced answers to the specific questions people ask about ai case studies.
AI for Business: A Complete Guide to Adoption, ROI, and Risk
Read the full guide →How Did Chipotle Use AI to Cut Its Hiring Time by 75%?
Chipotle deployed a conversational AI hiring assistant, nicknamed Ava Cado, built on the Paradox platform, to talk with job candidates, answer their questions, collect basic information, and schedule interviews automatically — a change the company reports cut time-to-hire by roughly 75%.
How Did Duolingo Use AI to Build 148 New Courses in a Year?
Duolingo used generative AI to automate one specific, already-systematized stage of its course content pipeline rather than delegating full course design to AI, reportedly building 148 new language courses in under a year and increasing content creation speed by roughly 40%.
How Does Walmart Use AI to Manage Its Supply Chain and Inventory?
Walmart uses AI-driven demand forecasting, supplier data integration, and unified inventory visibility across its stores and fulfillment centers, reporting a 25% reduction in stockouts as a direct result of better predicting product demand by region, season, and local events.
How Is Morgan Stanley Using AI to Help Its Financial Advisors?
Morgan Stanley built an internal AI assistant on GPT-4 that helps financial advisors quickly retrieve information from the firm's research library, reportedly increasing document retrieval efficiency from around 20% to 80%, with over 98% of advisor teams actively using the tool.
What Actually Happened When Klarna Replaced Customer Service Agents With AI?
Klarna's AI assistant initially handled the workload of roughly 700 customer service employees and two-thirds of all queries, but by 2025 the company was rehiring human agents after customer satisfaction dropped, settling into a hybrid model where AI handles routine queries and humans handle complex or high-value cases.
Other topics in AI for Business
AI Adoption & ROI
Everything we've answered about adopting AI at work: shadow AI, training, vendor evaluation, and measuring return on investment.
AI and Jobs
Everything we've answered about AI's effect on employment: automation risk, new job creation, resumes, and hiring.
AI in Customer Service
Everything we've answered about AI customer service: liability for chatbot mistakes, human-vs-AI disclosure, and multilingual support.
AI in Marketing & Content
Everything we've answered about AI-generated marketing content: disclosure rules, SEO impact, and AI content detection.
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AI in Creative Industries
Sourced answers about AI in music, film, art, and design — what it can do, the copyright questions it raises, and how creators are responding.
Prompting & Everyday AI Use
Sourced, practical answers about getting better results from AI tools — prompt engineering, AI-assisted writing, productivity workflows, and getting started.
AI Ethics & Society
Sourced answers about AI's broader effects on society — bias, misinformation, human relationships, and the ethical questions that don't have easy answers.
AI Automation for Business
Honest, sourced answers about using AI to automate real business workflows — what's actually reliable to automate today, no-code tools, back-office and customer-facing use cases, and where automation projects commonly fail.