Accelerating digital transformation
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Credem Bank launched the AI Next project to integrate AI into its banking operations by leveraging Google Cloud’s integrated ecosystem for predictive maintenance, fraud detection, IT optimization, and enhanced online security. The bank further established the Officine Credem Project as a collaborative hub with startups, universities, and partners to develop innovative products and streamline customer service and internal workflows.
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New products, increased sales, improved retention, and cost savings
71
AI use cases in
Finance
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Nubank implemented a custom AI-driven enterprise search solution by integrating GPT‑4o and GPT‑4o mini with fine-tuned domain-specific models and Retrieval-Augmented Generation techniques, enabling employees to access FAQs, policies, and internal documents rapidly. They also developed a call center copilot using GPT‑4o that integrates the bank’s knowledge base and chat history to provide real-time conversation summaries, next-reply suggestions, and step-by-step guidance for agents, and launched an AI assistant to handle Tier 1 inquiries. Furthermore, Nubank piloted a fraud quality assurance system using GPT‑4o vision to analyze transactions and visual data, ensuring robust fraud detection according to regulatory requirements.
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Endex built an AI Analyst platform that leverages OpenAI's reasoning models (GPT‑4o, o1‑mini, o1‑preview, o3‑mini, and o1 vision) to retrieve, analyze, and synthesize complex financial data. The solution integrates internal data, public disclosures, and financial reports to automate processes such as due diligence, earnings analysis, and investment committee memo preparation using reinforcement learning fine-tuning and performance tracking, transforming traditional manual workflows into streamlined AI-driven processes.

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Rogo, an AI finance platform, uses OpenAI's GPT-4 to provide real-time financial intelligence to investment professionals, automating tasks like meeting prep, company profiling, and market research. By fine-tuning OpenAI's models and integrating financial datasets like S&P Global, Crunchbase, and FactSet, Rogo helps shift focus from manual work to high-value decision making.
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24
companies using
Security Agents
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Integrated Microsoft 365 E5 platform with Microsoft Security Copilot to automate and centralize incident response, authentication, and security monitoring across multiple digital tools.
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AES deployed generative AI agents built on Vertex AI and Anthropic’s Claude models to overhaul its health and safety audit processes. They connected Claude via API calls within the Vertex AI environment, addressing security through configured service accounts and leveraging Vertex AI Model Garden for simplified deployment. This automation streamlined document reviews for large, multilingual audit files, significantly reducing manual labor.
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Stairwell uses Anthropic's Claude to analyze and summarize complex security data, helping protect companies from sophisticated cybersecurity threats. Claude's large context window allows Stairwell to process security data with over 40,000 characters and its ability to understand technical data without extensive prompt engineering enables Stairwell to convert technical security findings into clear, actionable insights for security teams of all experience levels.
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255
solutions powered by
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704 Apps implemented an AI solution using Vertex AI and Gemini 1.5 Pro to automate and accelerate driver identity verification and safety monitoring. They integrated these AI models into their existing cloud infrastructure built on Firebase and Google Kubernetes Engine, centralizing real-time data for document validation and audio sentiment analysis. The system alerts the central monitoring team when risk-related language is detected, streamlining operational decision-making and enhancing security.
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OPPO integrated Google Cloud’s Vertex AI, AutoML, and Gemini large language model into its mobile devices to automate user feedback analysis, power AI Recording Summary features, and enable AI Toolbox functionalities such as AI Writer and AI Reply. They re-engineered their hardware platform, operating system, and third-party ecosystem to embed AI agents that optimize power consumption and reduce computing latency, streamlining mobile development workflows and enhancing user experience.
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Dataïads built an AI-powered “Post-Click Experience” system that automatically generates personalized landing pages by analyzing user context such as ad origin, product type, and behavior. The solution is implemented by integrating API access from Google Ads with Google Cloud managed services (Cloud Run and BigQuery) for automated scaling and controlled cost management, while planning to incorporate Vertex AI for further optimization. This implementation directly enhances ad campaign management and improves ecommerce conversion processes.
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153
AI use cases in
Europe
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Tidio integrated Anthropic’s Claude model to develop their Lyro AI agent, automating customer support interactions across both live chat and email channels. They implemented a network of specialized AI agents for conversation rating, summarization, and a dynamic routing system that selects the optimal API between native Anthropic API and Google Cloud Vertex AI based on performance metrics, streamlining support workflows and enabling personalized product recommendations.
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The school deployed Microsoft Reading Progress and Microsoft Immersive Reader, two AI-powered apps integrated within Microsoft Teams, to support individualized learning. The tools record reading sessions, provide real-time feedback on pronunciation and errors, and translate texts to enable comprehension across multiple languages. This setup streamlines classroom instruction, personalizes student learning, and reduces teacher workload.
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Dataïads built an AI-powered “Post-Click Experience” system that automatically generates personalized landing pages by analyzing user context such as ad origin, product type, and behavior. The solution is implemented by integrating API access from Google Ads with Google Cloud managed services (Cloud Run and BigQuery) for automated scaling and controlled cost management, while planning to incorporate Vertex AI for further optimization. This implementation directly enhances ad campaign management and improves ecommerce conversion processes.
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