Do It With Agents


AI Agents in Finance: Top Use Cases and Examples

AI Agents in Finance: Top Use Cases and Examples

Workday Blog
August 6, 2025

ai agentsautomationfinancefinance transformationmachine learningtechnology

Description

Discover real-world finance use cases for agentic AI and learn how leading organizations are using agents to achieve a more autonomous, streamlined, and insights-led finance operation.

Explore how AI agents are revolutionizing the finance sector by automating processes such as reconciliation and risk management. This article delves into real-world use cases where leading organizations leverage AI-powered agents to enhance efficiency, gain deeper insights, and streamline operations. Discover the transformative potential of agentic AI in finance, from optimizing internal workflows to enabling real-time market tracking and continuous auditing. As the industry shifts towards automation, learn how finance leaders can prepare for an agentic future and the benefits it brings to their organizations.

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AI Agents in Finance: Top Use Cases and Examples

AI Agents in Finance: Top Use Cases and Examples

Workday Blog
August 6, 2025

ai agentsautomationefficiencyfinanceinsightsmachine learningtechnology

Description

Discover real-world finance use cases for agentic AI and learn how leading organizations are using agents to achieve a more autonomous, streamlined, and insights-led finance operation.

Explore how agentic AI is transforming the finance sector by automating processes from reconciliation to risk management. This article delves into real-world use cases where leading organizations leverage AI agents to enhance efficiency, streamline operations, and gain deeper insights. Discover the top three applications of AI agents in finance, including internal workflow optimization, real-time market tracking, and continuous audit and control. As the industry shifts towards autonomous finance, learn how these innovations are set to redefine the future of financial operations.

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AI in Banking: Revolutionizing Financial Landscape

AI in Banking: Revolutionizing Financial Landscape

HDWEBSOFT
August 30, 2024

aibankingcustomer experiencefinanceinnovationmachine learningtechnology

Description

AI ịn banking is reshaping financial industry. This blog explores the market, applications with real-world examples, and strategies for adopting finance AI.

Explore how AI is revolutionizing the banking sector by enhancing efficiency, improving customer experience, and introducing innovative financial features. This article delves into the AI banking market, its applications, and real-world examples of banks leveraging AI to stay competitive. Discover strategies for adopting AI in banking and the challenges faced in this transformative journey.

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A world of intelligent agents | ACCA Global

A world of intelligent agents | ACCA Global

www.accaglobal.com

artificial intelligenceethicsfinancehealthcaremachine learningretailroboticstechnologytransportation

This article explores the fascinating world of artificial intelligence (AI), machine learning, and robotics, highlighting their applications across various sectors such as retail, healthcare, transportation, and finance. It delves into how AI enhances customer experiences, guides purchasing decisions, and aids in product development. The piece also discusses the ethical implications of AI, including bias, security, and the potential for unemployment. Furthermore, it examines the relationship between AI and machine learning, detailing different types of learning algorithms. The article concludes by emphasizing the importance of developing ethical frameworks for AI use in business.

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Top 10 AI Use Cases for Finance Operations

Top 10 AI Use Cases for Finance Operations

Workday Blog
July 17, 2025

aiautomationcost reductionfinancefinancial planningmachine learning

Description

Discover the best use cases for AI in finance to reduce operating costs, execute successful phased implementation, and to drive real savings across the organization.

Explore the transformative power of AI in finance operations with our top 10 use cases. From automated transaction capture to dynamic fraud detection, AI is revolutionizing how finance teams operate, driving efficiencies, reducing costs, and enhancing decision-making. Discover how AI can help finance leaders streamline processes, improve compliance, and ultimately, achieve strategic growth. This article provides a roadmap for implementing AI in finance, ensuring organizations can leverage its full potential to stay competitive in a rapidly evolving landscape.

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Leandro Sánchez-Betancourt

leandro-sbetancourt.github.io

algorithmic tradingbayesian learningfinancemachine learningmarket makingnash equilibriumquantum measurementsresearch

Explore the latest research contributions of Leandro Sánchez-Betancourt, focusing on innovative topics in finance and machine learning. This page showcases a comprehensive list of published papers, conference presentations, and ongoing projects that delve into market dynamics, algorithmic trading, and Bayesian learning frameworks. With insights into Nash Equilibrium, market making strategies, and the impact of quantum measurements on financial claims, this content is a treasure trove for CTOs, software engineers, and AI enthusiasts eager to understand the intersection of finance and AI. Discover collaborative opportunities and cutting-edge research that pushes the boundaries of what's possible in algorithmic trading and decision-making.

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Impact of Artificial Intelligence in Transforming the Financial Industries

article.sapub.org

algorithmic tradingartificial intelligencecustomer servicefinancefraud detectionmachine learningregulatory compliancerisk management

This article explores the transformative impact of Artificial Intelligence (AI) on the finance industry, highlighting its ability to enhance efficiencies, decision-making, and innovation. AI technologies such as machine learning, natural language processing, and predictive analytics are revolutionizing various domains including risk management, customer service, trading, fraud detection, and regulatory compliance. Key applications discussed include algorithmic trading, credit risk assessment, and the use of chatbots for customer support. The article also addresses the challenges and risks associated with AI integration in finance, such as model bias, data privacy concerns, and the need for robust governance frameworks. Ultimately, it emphasizes the importance of responsible AI implementation to harness its full potential while ensuring ethical practices and compliance with regulations.

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Revolutionary AI Agents Transform Finance: Infosys Unveils Autonomous Accounts Payable Solution with Microsoft

Revolutionary AI Agents Transform Finance: Infosys Unveils Autonomous Accounts Payable Solution with Microsoft

Stock Titan
May 30, 2025

accounts payableaiautomationfinanceinfosysmicrosofttechnology

Description

New AI-powered solution brings autonomous processing to accounts payable operations. Partnership with Microsoft enables enterprise-scale automation. See efficiency gains.

Infosys BPM has launched AI agents for invoice processing within its Infosys Accounts Payable on Cloud solution, powered by Infosys Topaz. This innovative solution transforms invoice processing from a human-driven, AI-supported model to an autonomous AI-first approach, utilizing Microsoft's AI stack including Azure AI Foundry and other LLMs. Developed in collaboration with Americana Restaurants, the solution aims to enhance operational efficiency and accuracy in accounts payable operations. The AI agents are designed to handle complex business scenarios autonomously, manage end-to-end workflows, and adapt to changing business logic with minimal human oversight. This advancement represents a significant leap in finance and accounting automation, combining Infosys Topaz with Microsoft's enterprise-ready AI solutions to deliver scalable and intelligent processing capabilities.

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Top of Mind: Key AI Trends That Are Reshaping Business

Top of Mind: Key AI Trends That Are Reshaping Business

Workday Blog
June 27, 2025

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Description

Trends in Enterprise AI

Explore the transformative trends in enterprise AI that are reshaping business landscapes. This article delves into the rise of agentic AI, the integration of autonomous agents into the workforce, and the challenges of managing a hybrid workforce. It highlights the importance of specialized AI solutions, the need for robust governance, and strategic recommendations for leveraging AI effectively. With insights from industry leaders and predictions about the future of AI, this piece is essential for CTOs and software engineers looking to navigate the evolving AI landscape.

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What is Agentic AI?

What is Agentic AI?

Trend Micro

agentic aiartificial intelligenceautonomous systemscustomer servicecybersecurityfinancefuture of workhealthcaremachine learning

Explore the transformative potential of Agentic AI, a cutting-edge form of artificial intelligence that empowers autonomous AI agents to perform complex tasks without human intervention. This article delves into the workings of Agentic AI, its advantages over traditional AI, and its real-world applications across various industries, including healthcare, finance, and cybersecurity. Discover how Agentic AI is set to revolutionize the future of technology and the workforce, enabling greater efficiency and innovation while addressing the challenges and ethical considerations that come with its implementation.

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