How AI is transforming financial services through intelligent analytics, risk modeling, and data-driven decision making across banking and capital markets.
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Companies
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Tools Used
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Use Cases (36)
N26, one of Europe’s leading digital banks serving millions of customers across 24 markets, deployed Writer to let a small content design team scale its work across product, UX, legal, and marketing without compromising brand consistency or compliance. By embedding Writer into Figma and existing workflows, the team enabled non-designers to produce compliant, on-brand content independently. The result: a 58% reduction in time spent, 50% higher employee confidence in writing tasks, and adoption across 7 teams.
Millennium bcp, Portugal's largest private bank, used Google Cloud's BigQuery machine learning tools to build predictive audience models for personal loan campaigns. By segmenting existing customers by propensity to borrow, the bank dramatically improved both owned and paid media performance. The result was a 2.6x higher conversion rate and a 36% drop in cost per acquisition.
Klarna is a global fintech company serving over 85 million active users with payment and shopping solutions, processing 2.5 million transactions daily across more than 45 markets. Facing mounting pressure to scale customer support across global markets without proportional headcount increases, Klarna deployed an AI assistant built on LangGraph and refined with LangSmith that now handles the work equivalent of 700 full-time staff. The result is 80% faster customer query resolution and 70% automation of repetitive support tasks.
ComplyAdvantage deployed Gemini Code Assist across its 170-person engineering team, achieving 37% faster development, 100% more merge requests per developer, and 75% accuracy in auto-categorizing 500+ support requests.
nCino, a cloud-based banking platform serving 2,800+ financial institutions, built domain-specific AI tools on Databricks and AWS leveraging 13 years of proprietary banking data. Their Banking Advisor delivers role-based AI insights natively within the platform, while Continuous Credit Monitoring automates risk alerts across the loan lifecycle. The result is 3.5x faster document processing and a shift from reactive to proactive portfolio management.
AWSWEX, a global fintech company that processes payments for fleet management, employee benefits, and corporate spending, consolidated a fractured developer ecosystem of 300+ Azure DevOps organizations onto GitHub Enterprise and deployed GitHub Copilot across its engineering workforce of 1,700+. The result was approximately 30% higher developer productivity, ~60% ROI on Copilot licenses, and a 99% reduction in deployment cycle times.
KeyBank automated its anti-money laundering suspicious activity referral workflow using Automation Anywhere, eliminating 105,000 manual touchpoints. The AI-powered solution parses email and SharePoint referrals, validates critical data, scores risk, and automatically escalates high-risk cases to AML investigators. With over 400 processes automated, KeyBank has strengthened its compliance posture while freeing staff from time-consuming manual reviews.
Suncoast Credit Union deployed UiPath agentic automation for end-to-end fraud detection, reducing fraud losses 75% over two years, preventing $3.3M in fraud, and achieving 100% automated review coverage.
Fiserv built safe, scalable AI automation on UiPath Platform with built-in governance, avoiding $10M in SLA penalties and onboarding 20,000+ QSR locations on schedule.
Norges Bank Investment Management deployed Claude Enterprise to 600+ employees across all departments, achieving 20% weekly time savings on analytical and operational tasks. The $1.7 trillion sovereign wealth fund uses Claude for investment research synthesis, ESG compliance across 9,000 portfolio companies, and multilingual information processing. Business users can now prototype AI solutions independently without IT bottlenecks.
Telepass deployed Salesforce Agentforce across its customer contact center, resolving 87% of FAQs autonomously and reducing average call handle time by 50% — live in 6 weeks with measurable returns within 10.
Stripe collaborated with Anthropic to create a signed enterprise binary of Claude Code, deploying it to 1,370 engineers with zero configuration. One team migrated 10,000 lines of Scala to Java in 4 days instead of 10 weeks.
Chipper Cash, a fintech serving over five million customers across Africa, deployed a Pinecone-powered facial similarity search system to detect and block fraudulent duplicate sign-ups in real time. The solution slashed identity verification latency from up to 20 minutes down to under 2 seconds, and reduced fraudulent sign-ups by 10x across all markets.
Franklin Templeton manages over $1.6 trillion in assets across mutual funds, ETFs, digital assets, and alternative investments, serving financial professionals in more than 150 countries. With only seven analysts responsible for producing commentary on a growing product universe, the firm built SIGNALS — an internal AI platform powered by Databricks Agent Bricks — to automate portfolio analysis and scale coverage from 200 to hundreds of products. Analysts save more than two hours per week each, and field teams surfaced $15 million in product opportunities during the platform’s early rollout.
loanDepot deployed Moveworks' AI assistant in Microsoft Teams to automate IT approvals, resolving 2,000 issues monthly and cutting turnaround from days to under 5 minutes.
Nexo, a digital assets wealth platform handling over 20,000 complex monthly inquiries, deployed Salesforce Agentforce to deliver 24/7 AI-powered customer support across its app and website. The agent autonomously answers complex FAQs requiring real-time financial data and jurisdiction-specific knowledge, resolving 62% of cases and saving 2,600 hours of manual work.
New American Funding (NAF) is one of the largest independent mortgage banks in the US, with a marketing team of nearly 60 people spanning content, performance marketing, brand communications, and social. Facing an overwhelmed content operation across a regulated industry, NAF deployed Writer’s enterprise generative AI platform to streamline content production, enforce compliance guardrails, and maintain brand voice at scale. The platform now saves the team 360 hours per week and has compressed content tasks from hours to minutes.
IG Group, an international financial services firm, deployed Claude across teams to streamline content production, multilingual communications, and data analytics workflows. The rollout reduced reliance on external agencies, delivered a sub-three-month payback on the AI investment, and saved analysts 70 hours per week through AI-assisted query handling.
State Bank of India partnered with IBM to build YONO, a comprehensive mobile platform combining banking, financial services, and marketplace that achieved 64 million downloads and a USD 40-50 billion valuation.
Airtree, a $2 billion Australian venture capital firm, deployed Claude Cowork as shared firm-wide infrastructure to unify fragmented data across tools like Notion, Slack, Google Drive, and Affinity. The team built custom Skills to automate board meeting prep, market research, and portfolio reporting — cutting multi-hour tasks down to minutes. What began as individual productivity gains quickly scaled into a collaborative system where Skills built by one person benefit the entire firm.
Money Forward launched its MEPAR program to embed Claude Code across its engineering organization, achieving 80% engineer adoption with 70% using it daily. API endpoint implementation time fell from two days to five hours, and developer onboarding compressed from one week to one day. Early adopters reported saving approximately seven hours per week.
Bank Leumi, Israel’s leading bank with more than 7,000 employees and $195 billion in assets, replaced its aging SIEM with Elastic Security to gain unified visibility across a cloud-and-on-premises infrastructure generating vast volumes of semi-structured data. By deploying Elastic Security alongside Kibana dashboards and MITRE ATT&CK-aligned detection rules, the bank cut log detection and analysis time by 60%, reduced security incident resolution time by 50%, and lowered total cost of ownership by 40%.
Brazilian banking giant Bradesco deployed IBM Watson across 5,200 branches to transform customer service response times from 10 minutes to seconds. The AI assistant now handles 283,000 monthly queries with 95% accuracy, enabling personalized service for 65 million customers.
GCash, the Philippines’ leading finance app serving nearly 100 million users, deployed Glean to replace fragmented, manual information discovery with a unified AI platform. The system stitches together knowledge from all data sources, enabling employees to find information instantly without interrupting colleagues. Employees now save 2—3 hours per week, with adoption rates exceeding 90% in some departments.
Experian’s Data Office in the UK manages mission-critical consumer and business information infrastructure for one of the world’s largest credit bureaus. Facing seven legacy .NET Framework applications that required manual modernization, the team used AWS Transform — an agentic AI service for .NET migration — to automate code transformation and wave planning. The result: approximately 300 engineering days saved, 687,600 lines of code transformed, and 40% reduction in developer effort across seven applications.
AWS TransformAmazon Q DeveloperCampfire embedded Claude into its accounting platform to automate monthly closes, bank reconciliation, and financial reporting. Customers now close their books 3 days faster, reconcile bank statements 90% faster, and generate reports 50% faster. Claude powers Ember, Campfire's AI chat interface for natural language financial queries.
Raiffeisen Bank International (RBI), one of Central and Eastern Europe's largest banking groups, migrated its fragmented analytics estate across multiple countries to Databricks SQL. The result was a 3–4x improvement in average SQL query performance, 30–40% faster time to insight for analysts, and a 5x reduction in analytics total cost of ownership compared to its previous cloud solution.
Intercontinental Exchange (ICE) operates global financial exchanges, clearing houses, and mortgage technology serving markets worldwide. To move beyond lagging IT metrics like SLAs and satisfaction surveys, ICE deployed Moveworks’ HelpBot on Microsoft Teams, powered by an NLU-driven Employee Experience Insights (EXI) engine that converts raw IT tickets into a prioritized action list. EXI revealed hidden pain points—including that Outlook was ICE’s top driver of IT issues—giving the IT leadership team visibility they previously couldn’t achieve with conventional analytics.
Shinhan Bank is one of South Korea’s largest financial institutions, operating more than 800 branches and serving millions of customers. Facing a workforce burdened by repetitive compliance, loan review, and data-transfer tasks across siloed systems, the bank launched the ‘My Bot’ initiative—deploying personal digital assistants to all 14,000 employees using Automation Anywhere’s platform. The result is one of the world’s largest enterprise digital assistant deployments, saving over 1.2 million staff hours annually and automating more than 100,000 property loan reviews each year.
Ellevest is a women-focused financial services and investing platform founded on the premise that the financial industry was built for men and has left women behind. With 20 writers producing 150+ articles annually and an intersectional style guide that evolves with cultural norms, the team adopted Writer to enforce brand consistency and compliance at scale. Time spent correcting style guide mistakes has dropped by 50–70%, and writers across the company now ship content aligned to Ellevest’s voice without requiring intensive manual editorial review.
N26 deployed Claude via AWS Bedrock across 15+ internal use cases in its first year, automating up to 70% of tasks in targeted customer service processes and cutting manual processing by 50% across 24 European markets. New AI implementations now go from ideation to evaluation in 1–2 weeks.
Amazon BedrockIntuit integrated Claude via Amazon Bedrock into its Intuit Assist feature within TurboTax to generate plain-language explanations of tax calculations. The integration combines Claude's natural language capabilities with Intuit's proprietary tax knowledge engine, serving millions of customers during peak tax season. The result was higher helpfulness ratings and improved completion rates for federal tax filings.
Amazon BedrockWealthsimple, a Canadian fintech platform on a mission to make financial services simple and accessible, deployed Glean to unify search across its entire knowledge base — Google Docs, Slack, GitHub, Jira, and more. Employees no longer interrupt senior colleagues to locate information, and the top knowledge-access frustration identified in employee surveys has been eliminated. The result is $1.03 million in annual productivity savings, with 98 percent of employees actively using the platform.
Terminal X is a vertical AI platform for institutional investors that acts as a 24/7 research agent, processing millions of financial documents for hedge funds, asset managers, and private equity firms. By rebuilding its retrieval architecture on Pinecone’s vector database, Terminal X improved F1 retrieval accuracy from 0.68 to 0.91, cut average latency by over 35%, and doubled deployment velocity. Users now save approximately three hours per day, and investment memo preparation dropped from two days to half a day.
Vanguard partnered with Pinecone to build Agent Assist, an internal RAG-powered AI chat tool that helps customer support representatives find answers faster and more accurately. By replacing keyword-based search with hybrid vector retrieval, Vanguard achieved 12% more accurate search results and meaningfully reduced call times — even during high-demand periods like tax season.
Amazon DynamoDBSuper.com, a savings and financial services app trusted by over 5 million customers, deployed Glean to solve the knowledge fragmentation that accompanied rapid company growth. By connecting all of Super.com’s tools into a single AI-powered search hub and building a culture of “Glean it” self-service, the company now saves 1,500+ hours monthly, onboards new hires 20% faster, and has realized a 17x return on investment from time saved.