Alibaba Cloud Sample Nov 25, 2025 Suntime Suntime needed an authoritative, source-traceable research assistant for professional investors, but its self-built retrieval stack struggled with the semantic complexity, latency, and operations burden created by huge… 0 failures and 0 interruptions across more than 100 peak-access events in six months AI Xiaoer · Vector Search Service Milvus Edition 
OpenAI Sample Nov 25, 2025 Target Target wanted to help shoppers who start with broad, conversational questions and do not know exactly what they want, reducing the need to sift through large search result sets before finding affordable, relevant… multiple times a day ChatGPT · Target account · Target app in ChatGPT 
Salesforce Sample Nov 25, 2025 Lennar Rising costs and a shifting housing market amplify the need to remove barriers to buying a home. Since 1954, Lennar has helped more than 1.5 million families achieve one of life’s biggest milestones: buying a home. 000 annual appointments expected to be scheduled by Agentforce Agentforce · Data 360 · Field Service and Operations OpenAI Sample Nov 25, 2025 JetBrains Engineers are already delegating real tasks to agents—and seeing them completed. "I assign increasingly difficult tasks to an agent, backed by GPT‑5—and to my surprise, many of the tasks are completed successfully" says… "+15M developers use JetBrains—and now we’re bringing OpenAI into that workflow" Kang tells us that. The shift… Codex · GPT-5 
Databricks Sample Nov 24, 2025 Pilot Company Pilot Company needed a better way to support fuel bill-of-lading document processing and billing automation because hundreds of handwritten form formats defeated OCR and RPA approaches, leaving a critical fuel billing… 90% decrease in overall processing costs Agent Bricks · Amazon Bedrock · Databricks Data + AI Platform 
Google Cloud Sample Nov 23, 2025 Bendigo Bank This democratization unlocked massive productivity gains. For example, the marketing department analyzes customer feedback to glean insights without requiring help from the technology team. And anyone in the… Australia's fifth largest retail bank empowers 5,000+ staff with Gemini Enterprise to accelerate insights and… BigQuery · Gemini Enterprise · Google Security Operations (SecOps) Databricks Sample Nov 21, 2025 Puma Energy Puma Energy needed a better way to support global fuel stockout prediction, safety reporting, and customer analytics because fragmented regional systems and slow refresh cycles meant frontline teams waited hours for… 15% reduction in fuel stockouts by using predictive alerts Agent Bricks · Databricks Data + AI Platform · Databricks SQL Databricks Sample Nov 21, 2025 Syngenta Syngenta needed a better way to support AI-ready R&D data products for crop protection research because research data across dozens of countries and systems took months to access, which slowed scientific collaboration… 200 protecting crops today to feed billions tomorrow Databricks Data + AI Platform · Databricks SQL · Delta Lake 
AWS Sample Nov 20, 2025 Syngenta Syngenta needed to handle supplier invoice tax processing in Argentina despite multiple provincial taxes, exemptions, and dual SAP systems, where manual entry slowed operations, introduced errors, and increased… More than 90% accuracy in tax bookings AWS-native services · GenAI Invoice Data Lake · GenAI capabilities Salesforce Sample Nov 20, 2025 Accenture Accenture wanted an AI assistant that could operate inside its highly customized sales process, handle complex tagging and coaching workflows, and prove the value of Agentforce before a broad rollout across a… 2,200 users Agentforce · Sales Cloud · Salesforce Platform OpenAI Sample Nov 19, 2025 Scania As more teams gained confidence, momentum accelerated. This blend of strong bottom-up energy and enabling guardrails is now shaping how Scania scales AI deeper into core engineering and operational workflows, turning… ChatGPT Enterprise 
In-house Sample Nov 18, 2025 Renault Group Renault Group needed to improve the reliability and effectiveness of increasingly complex driving aids and in-cabin assistance features as vehicles added more sensors, ECUs, and safety functions that must keep working… 29 driving aids Adaptive Cruise Control (ACC) · Intelligent Speed Assistance (ISA) · Lane Assist 
Microsoft Sample Nov 18, 2025 Levi Strauss & Co. Levi Strauss & Co.'s push to become a fan-obsessed, direct-to-consumer brand created an influx of data that overwhelmed inconsistent end-user devices—employees experienced crashes when handling 20,000-line reporting… Monthly reporting task involves about 20,000 lines of data Copilot agents · Microsoft 365 Copilot · Microsoft Intune Microsoft Sample Nov 18, 2025 Ford Motor Company Ford's nearly 170,000 employees worked across multiple fragmented collaboration platforms—developers in one tool, business teams in another, meetings in a third—creating communication silos, slowing productivity, and… Nearly 170,000 employees unified on Microsoft Teams Microsoft 365 · Microsoft Teams · Microsoft Teams Premium Microsoft Sample Nov 18, 2025 AT&T AT&T's employees were spending too much time investigating across many search links to find answers, developers were debugging code line by line, and data flowed faster than humans could keep up. Leadership needed proof… 100,000+ employees actively using agents Azure AI Foundry · Azure AI Search · Azure API Management 
Capgemini Sample Nov 17, 2025 Penske Transportation Solutions Penske needed to help its software engineering teams deliver quality code faster, reduce repetitive work, and modernize older applications without overloading lead developers. 10–12 percent developer productivity improvement with GitHub Copilot pilot GitHub Copilot 
BCG Sample Archived · Nov 15, 2025 PHOENIX group PHOENIX group faced the complexity of a pan-European pharmaceutical distribution network, where manual transport-invoice checks, repetitive customer-service work, fragmented data and uneven digital maturity made it… 24/7 service AI Customer Service Agent · AI-Powered Inventory Cockpit · GenAI Factory 
EY Sample Archived · Nov 14, 2025 Microsoft Microsoft's finance organization wanted to improve data literacy and speed product-launch work, but critical knowledge was spread across tens of thousands of historical financial documents and disparate databases,… 50% reduction in the time required to gather finance requirements for new product introductions Finance Launch AI · Natural Language Processing (NLP) · Replay AI 
Huawei Cloud Sample Nov 14, 2025 China Mobile Guangdong China Mobile Guangdong wanted to upgrade enterprise support operations so account managers could handle enterprise services faster, reduce repetitive preparation work, and improve customer experience under its AI+… reduced average business processing time by 30% AI Account Manager Assistant · AI-Native architecture · LLM Engine Google Cloud Sample Nov 13, 2025 Telstra Telstra wanted to let children and parents call Santa from its nationwide payphone network during the Christmas season, but a human-only hotline could not answer large volumes of wish-list and question calls in real… Customer Engagement Suite from Google Cloud · Gemini · Telstra payphones In-house Sample Nov 13, 2025 AT&T AT&T needed a way for teams to automate time-consuming customer service and network-operations tasks across multiple internal systems while keeping humans in control and maintaining privacy, security, and faster… Ask AT&T Workflows · Ask Data · Ask Docs OpenAI Sample Nov 13, 2025 Philips Philips needed to expand AI from specialist teams into broad, trusted employee use so the company could reduce administrative burden in healthcare workflows without violating regulatory, privacy, and safety expectations. 15 minutes saving a life-and then had to spend 15 minutes documenting it ChatGPT · ChatGPT Enterprise 
TCS Sample Archived · Nov 12, 2025 Kelly Services Kelly Services needed an IT service desk that could keep up with rising support volumes and expectations from employees, clients, and job seekers, but traditional processes relied too heavily on agent memory and… 100 percent quality audits for the first time AI-driven call transcription and analysis · AI-driven quality management system · context-aware recommendations Google Cloud Sample Nov 12, 2025 Prudential plc Prudential needed to handle a growing volume of medical insurance claims more efficiently and accurately, while reducing manual data-entry errors and shortening approval and payout times for customers. 3-4 months Google Cloud · MedLM