AWS for Financial Services

#AI agents are reshaping #FinancialServices, but they've hit a critical barrier: autonomous payments. Read our latest guide to explore how Coinbase x402 unlocks autonomous workflows. 👉 https://go.aws/4swjZaG Imagine a #compliance agent that assesses risk in milliseconds but waits hours for payment authorization. ⏳ Or a trading agent that spots arbitrage but can't access the premium feed it needs. The intelligence is autonomous. The payments aren't. Closing the payment gap using x402: The open standard enabling true AI autonomy in financial services The Coinbase x402 open standard transforms HTTP's dormant 402 status code into a programmable payment rail for AI agents. 2-second settlement and $0.0001 transaction costs on networks like Base to enable agents to pay for exactly what they need, when they need it, without subscriptions or human intervention. Why this matters for FSI: 💡 Cost alignment: Pay per query, not per subscription ⚡ Speed: 2-second settlement keeps agents in flow 🔒 Compliance by design: Immutable on-chain audit trails 🌐 Ecosystem access: Connect to AI-native data providers instantly McKinsey & Company projects agentic commerce will mediate $3-5 trillion globally by 2030. Financial services organizations aren't just users, they're the natural operators. #AWS powers both sides: • #AmazonBedrock AgentCore for building payment-capable agents at scale • Amazon CloudFront + Lambda@Edge for providers to monetize services autonomously

Banks are fundamentally rethinking how they deliver financial services, using the latest cloud and #AI technology to expand what's possible. 💡 👉 https://go.aws/4b16VlV In this year's Banking on the Cloud report, we look at the major structural changes shaping 2026. 🏦 Modern cloud architectures that reduce cost-to-serve and support broader access 🤖 #AgenticAI deployed across complex, high-variability workflows 🔄 Multi-agent ecosystems that coordinate services in real time Together, these shifts influence how banks modernize core systems, expand access to credit, and design for resilience. 📊 Read the report to explore how these trends are taking shape across the #FinancialServices industry. 🚀

Agentic GraphRAG reduces #CapitalMarkets analysis from days to seconds. 📊 Read the full guide to start building. 👉 https://go.aws/4cgW3ml Here's the problem: A supplier declares bankruptcy three degrees removed from your portfolio. Your analysts need to trace the exposure. ⚠️ They spend days querying disconnected databases, parsing SEC filings, and stitching together spreadsheets. Most never surface the complete risk picture. We built a solution using #AmazonBedrock AgentCore, TigerGraph, and Amazon Bedrock Knowledge Base. 🚀 The system combines knowledge graphs with retrieval-augmented generation. #AI agents traverse 600,000+ relationship triplets across 101 S&P 100 companies. They pull context from 10-K filings automatically. Users ask questions in plain language. The agents determine which data sources to query and in what sequence. No graph query languages required. No manual data integration. ✨ We also built a version leveraging FactSet supply chain data: 350,000 corporate entities and 1,500,000 supplier, corporate hierarchy, and competitor relationships. Our new technical guide walks you through the complete implementation: architecture patterns, graph schema design with 24 entity types and 27 relationship types, and agent tool configuration. Swipe through the carousel for the core concepts. 👇

Gartner projects 40% of #agenticAI projects will be cancelled by 2027. ⚠️ The reason: inadequate risk controls, unclear value, and escalating costs. Read our latest guide on operational risk management and #AI for banks and #FinancialServices institutions here. 👉 https://go.aws/4cCoHhU This signals a shift in how financial institutions must think about the governance of AI. 🏦 Generative and agentic AI create different operational risks to traditional #MachineLearning: • Non-deterministic outputs requiring new validation methods • Distributed agent decisions across enterprise systems • Regulatory exposure from localized design choices 📊 • Reduced explainability in automated outcomes The user dynamic has also changed. People now actively collaborate with AI: prompting, iterating, deploying, rather than passively consuming outputs. 🤝 This shifts operational risk from execution errors to oversight gaps. Institutions making progress treat AI risk as a business challenge, not a technology problem. They bring risk, #compliance, operations, and technology teams together. Read our guide to explore these dynamics and how to address them. 💡

𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗶𝗻 #𝗖𝗮𝗽𝗶𝘁𝗮𝗹𝗠𝗮𝗿𝗸𝗲𝘁𝘀: 𝗙𝗿𝗼𝗺 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝘁𝗼 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻. 🚀 Access our latest #AWS whitepaper to learn how #generativeAI has captured the full attention of the #capitalmarkets industry.👇 Across the world, business and technology leaders alike are looking for examples of production-ready use cases with quantifiable business impacts, and robust implementation approaches. 📊 AWS's inaugural whitepaper on generative AI in capital markets does just this. 💡 We highlight how market participants from all subsegments of capital markets are working with AWS to integrate generative #AI across their businesses. For Pre-trade, at-trade, post-trade, and software development, we share popular use cases and the associated business impact that customers are seeing. 📈 The whitepaper spotlights production use cases from 14 market participants, including FINRA, Robinhood, S&P Global and NAB, and features 3 reference architectures. We discuss key implementation considerations, such as agent orchestration and deployment, RAG architectures, MCP and A2A protocols and best practices for deploying generative AI for code generation across the organization at scale. 🚀 Download the whitepaper to learn more. ⚡

Top insurers are delivering measurable impact with AI and cloud. ☁️ 👉 https://go.aws/3Zg4sPe Companies are modernizing core systems, personalizing customer experiences, and automating workflows with cloud and #AI. 🚀 Meanwhile, leading insurers are already realizing transformative results: • Travelers achieved 95%+ accuracy in email classification using AI-powered automation, dramatically reducing manual processing time. 📊 • agroseguro cut manual legal document processing by over 30% while enhancing fraud detection capabilities. • Canada Life boosted productivity by 40% during their cloud migration, and SBI Life Insurance Co. Ltd. reduced operator training time by 30% with generative AI-powered document search, improving both efficiency and customer service quality. 💡 The results are happening now. ✨

Market participants are leveraging #AWS to achieve measurable business benefits with #generativeAI 💡👉 https://go.aws/4rn8C3H Jefferies cut routine trade analysis by 80%. Clearwater Analytics reduced manual reconciliation by 90%. Eightcap slashed investigation time by 94%, saving AU$5M. Coinbase handles 65%+ of queries autonomously, saving 5M+ employee hours annually. 📊 Customers are realizing these benefits of generative AI across the entire trade lifecycle, from research and execution to settlement and surveillance. 🚀 • 𝗣𝗿𝗲-𝗧𝗿𝗮𝗱𝗲: Deploy generative AI and #agenticAI to enhance research and strategy generation processes, efficiently extract insights from earnings calls, filings, and market data using natural language, and democratize analytics and drive hyper customization at scale. • 𝗔𝘁-𝗧𝗿𝗮𝗱𝗲: Optimize trade operations and trading platform performance, enable fine-grained risk management market risk platforms and enhance rapid decision-making for traders. ⚡ • 𝗣𝗼𝘀𝘁-𝗧𝗿𝗮𝗱𝗲: Strengthen market surveillance and anti-fraud processes, streamline core settlement, reconciliation and reporting processes, enhance risk platforms and enhance customer service. Which workflow can deliver the biggest impact for your team? 👇

🎙️ In an episode of the Zinnov Podcast, John Kain, Head of Financial Services Market Development at #AWS, joins Rajat Kohli, Partner at Zinnov, to discuss where #generativeAI delivers value in regulated environments, why many proofs of concept stall, and how organizations are beginning to think about agentic systems at scale. 💡 The conversation highlights why innovation in #FinancialServices must be built on #compliance, and what top-level decision-makers are prioritizing as #AI adoption accelerates. 🚀 Listen to the episode to learn more. 🎧 👉 https://go.aws/49Aa1wu

Learn how #AWS is transforming the #insurance industry. 🚀 👉 https://go.aws/3ZtT8z4 Customers are realizing productivity boosts, reduction in manual processing, and increased accuracy. 📊 These aren't future possibilities. They're current results. ✨ Leading insurers are transforming across critical priorities: 🚀 𝗠𝗼𝗱𝗲𝗿𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 → Accelerating innovation with cloud-native platforms 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗲𝗱 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀 → Building 360-degree customer views with #AI 𝗥𝗲𝗶𝗻𝘃𝗲𝗻𝘁𝗲𝗱 𝗪𝗼𝗿𝗸 → Automating workflows with #agenticAI 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 → Enabling omnichannel and embedded insurance 💡 𝗗𝗮𝘁𝗮 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 → Democratizing insights with natural language queries They are deploying real solutions from AWS services: • #AmazonBedrock powers agentic AI workflows that automate complex insurance processes - from legal document processing to intelligent email classification and claims automation. • #AmazonQuickSight with Amazon Q democratizes data insights, enabling business users to perform complex analysis up to 10x faster through natural language queries. • #AmazonQ Developer accelerates modernization efforts by up to 80%, helping development teams refactor code, enhance security, and focus on innovation. Get proven results in our latest eBook, "𝗜𝗻𝘀𝘂𝗿𝗮𝗻𝗰𝗲 𝗥𝗲-𝗶𝗺𝗮𝗴𝗶𝗻𝗲𝗱 𝗶𝗻 𝘁𝗵𝗲 𝗖𝗹𝗼𝘂𝗱." ☁��

#Banking is being rewritten right now by firms that have moved past debate and into deployment. 🚀 We've seen customers compress sixteen-week timelines into one, collapse six-week assessments to under an hour, and scale personalized engagement across millions of relationships. 💫 When experimentation becomes execution, this is what emerges. Speed, #security, and #compliance have stopped being competing priorities; they're now proof points of what's possible. ⚡ In this video, Charith Mendis, Head of Worldwide Banking at #AWS 🏦, shares his key takeaways from #AWSreInvent, and the launches that will help you on your modernization journeys. What are you excited to leverage in 2026 to transform how banking services are delivered? 🔮