This weekly update captures a transformative moment in business automation, where agentic artificial intelligence has moved from experimental projects into mainstream enterprise deployments. Organizations across industries are discovering that intelligent agents—AI systems capable of planning, executing tasks, and adapting to changing conditions—deliver measurable value in cost reduction, speed improvements, and revenue generation.

At SAP TechEd in Berlin, the enterprise software giant unveiled a comprehensive vision for developer-powered AI transformation. The company introduced new capabilities in SAP Build, its flagship development platform, allowing developers to use their preferred tools including Cursor, Claude Code, and other agentic development environments. For developers who prefer traditional approaches, Visual Studio Code users can now access SAP Build capabilities directly through a new extension, making AI-powered automation accessible to millions of developers worldwide.

SAP's most significant announcement involved the introduction of Joule Agents, intelligent assistants that represent a new category of AI designed specifically for enterprise automation. Unlike simple chatbots that answer questions, Joule Agents actively plan, initiate, and complete complex tasks spanning multiple departments and applications. The company also introduced SAP-RPT-1, a relational foundation model that predicts business outcomes rather than simply predicting the next word in a sentence. This specialized AI can forecast delivery delays, assess payment risk, and predict sales order completion—critical capabilities for supply chain and finance teams.

The momentum extends across the enterprise technology sector, where companies are building governance frameworks to manage the explosion of agentic AI deployments. New Relic responded to market demand by launching agentic AI monitoring tools that help enterprises observe, govern, and automate AI workflows with policy-based controls. SnapLogic accelerated its platform with new agents and Model Context Protocol governance, simplifying how organizations deploy complex integrations and enhance enterprise data trust. Snowflake Intelligence introduced agentic capabilities specifically designed for real-time enterprise data workflows, combining powerful automation with strong governance and explainable decision-making.

Retail and e-commerce are experiencing particularly dramatic transformations through agentic AI integration. Shopify reported that commerce-for-agents technology is driving 11 times more orders from AI searches, with its Shop Pay platform processing $29 billion in gross merchandise volume during the third quarter—a 67 percent year-over-year increase. More than 750,000 shops used Shopify's Sidekick assistant for nearly 100 million conversations related to analytics, search optimization, and operations. This demonstrates that agentic AI isn't confined to back-office automation; it's reshaping how customers discover products and make purchases.

Snap's partnership with Perplexity in a $400 million AI search deal represents another major shift in how consumer-facing platforms integrate advanced AI capabilities. Perplexity will control search responses within Snapchat, with users benefiting from conversational AI that helps them discover products and information intuitively. Unlike traditional search experiences, perplexity's agentic approach allows it to understand complex, multi-step user needs and provide personalized recommendations.

Across enterprise operations, the benefits of agentic automation are becoming quantifiable and compelling. In manufacturing, companies are using AI to reduce factory planning time by up to 80 percent and make robots 40 percent faster. In logistics and supply chain operations, AI-driven automation is cutting inventory by 20 to 30 percent, reducing logistics costs by 5 to 20 percent, and saving 5 to 15 percent in procurement spend.

The infrastructure supporting these agentic AI systems continues expanding rapidly. Microsoft and OpenAI formalized a deeper long-term alliance, with Microsoft securing a 27 percent equity stake in OpenAI valued at approximately $135 billion. The partnership commits roughly $250 billion of future OpenAI spending on Azure infrastructure while extending intellectual property rights through 2032. Amazon also disclosed that it secured additional multi-gigawatt power capacity in 2025 to support AI infrastructure, including a massive new data center complex partly dedicated to Anthropic's model training.

As organizations worldwide race to deploy agentic AI, the focus is shifting from simple automation to sophisticated decision-making systems that can navigate complex business processes while maintaining appropriate human oversight and governance.