Google Cloud
4 use cases using this technology
Accenture and Google Cloud Support Air France-KLM in Building a Generative AI Factory
Air France-KLM
Accenture and Google Cloud collaborated with Air France-KLM to build a cloud-based generative AI factory hosted on Google Cloud that supports agentic AI capabilities, letting the airline identify, build and scale high-value gen AI, agentic and machine learning use cases. Air France-KLM has deployed a private gen AI assistant and retrieval-augmented generation use cases blending language generation with internal document search to improve diagnosing and repairing aircraft damage. The gen AI factory has accelerated development cycles by over 35%, with results already seen in ground operations, engineering and maintenance, and customer service.
Toyota shifts into overdrive: Developing an AI platform for enhanced manufacturing efficiency
Toyota Motor Corporation
Toyota's Production Digital Transformation Office built an in-house AI Platform on a Google Cloud hybrid architecture that lets factory floor employees create machine learning models without AI expertise, automating manual, labor-intensive tasks. Built by a six-person team in about 1.5 years, the platform runs at all 10 Toyota car and unit manufacturing factories; the number of models created rose from 8,000 in 2023 to 10,000 in 2024, saving over 10,000 man-hours per year, with nearly 1,200 active users and 400+ trained annually.
Supermetrics: Helping Marketers Redefine Efficiency with AI-Powered Data Analysis
Supermetrics
Supermetrics, a Finland-based marketing intelligence platform serving 15,000+ customers across 132 countries, built an AI agent on Google Cloud using Vertex AI Agent Builder and the Agent Development Kit (ADK) that autonomously manages data connections, fixes pipeline errors, and analyzes campaign performance in real time, suggesting new creative options using Imagen. The agent automates the weekly marketing reporting cycle that previously took performance marketers up to four hours, reclaiming over 15 hours per month per marketer for strategy and creative testing. The system uses a central AI agent that interprets natural language requests and delegates tasks to sub-agents, and stores 'core memories' of user preferences for personalized context.
AES accelerates renewable energy adoption with Claude on Google Cloud
AES
AES, a global energy company, built a multi-agent AI system using Claude on Google Cloud to automate internal safety audits of its renewable energy assets. The system uses document processing agents, task breakdown agents, and report generation agents to process hundreds of pages of safety documentation, evaluate compliance, and produce audit reports. Audit reports that previously took up to two weeks to complete (across roughly 1,550 internal audits annually) can now be generated in about an hour, a 99% reduction in time, alongside a 10-20% improvement in audit accuracy and a 99% reduction in audit costs.