Fintech Finance

FEBRUARY 20, 2025

Runa Assures compliance, fraud, and security defenses are integrated throughout the entire payout transaction lifecycle, with no extra cost or action required for clients or recipients. Unlike other fraud and security models that focus on payment acceptance, weve designed a fraud and security engine specifically to protect payouts.

PCI DSS 86

PCI DSS Security Payment APIs and Integration MFA 86

The Payments Association

JANUARY 21, 2025

Table of Contents Voices from the industry: Insights into the 2024 payments landscape In 2024, we witnessed a convergence between consumer and B2B payments, driven by the rise of BNPL adoption, AI-powered fraud detection, and the continued digitalisation of payment platforms.

Payments Trends 88

Payments Trends Financial Crimes Cross-Border Payments 88

The Finance Weekly

DECEMBER 22, 2022

In our strong use cases today, we might see some fraud detection, we might see AI and power forecasting, but it’s all very early stages.”. The May survey of 145 CFOs revealed that 58% planned to "increase their investment in automation" through 2023. Navigating the Talent Challenge in the Finance.

Finance 246

Finance AI Economy Addressing 246

Fintech Finance

AUGUST 15, 2024

Sionic , a leading provider of real-time, Pay-by-Bank Commerce (PbBC) services, today announced the launch of its comprehensive fraud detection and mitigation service built exclusively for real-time, bank-to-bank payments at checkouts, whether online, mobile or in-store.

AI 97

AI Fraud Detection Technology Real Time Payments 97

Nanonets

APRIL 1, 2024

Luckily, AP automation solutions like Nanonets and Tipalti can help. Nanonets vs. Tipalti at a glance On the surface, Nanonets and Tipalti may seem like similar AP automation solutions. Automated workflows 4.5 4 Integrations 5 4 Ease of use 5 3.5 They can be a headache for your team and a bottleneck for your business.

Automation 98

Automation Multi-Currency Fraud Detection Compliance 98

The Fintech Times

FEBRUARY 15, 2025

Fintech innovations and regulatory developments Another panel explored AI-powered financial solutions and emerging blockchain use cases. This move marks T2s expansion into the fintech sector, strengthening its offering of AI-powered financial tools and automation solutions for businesses.

Innovation 64

Innovation Fraud Prevention AI Compliance 64

The Payments Association

FEBRUARY 10, 2025

Partnering with regional providers, leveraging AI for fraud detection, and conducting regular audits will ensure compliance, transparency, and operational excellence. Data shows that vIBANs are primarily used by large financial firms, with minimal adoption among small businesses and individual consumers.

IBAN 88

IBAN AML Master Account Due Diligence 88

FICO

JULY 2, 2018

Payment fraud is an ideal use case for machine learning and artificial intelligence (AI), and has a long track record of successful use. Recently, however, there has been so much hype around the use of AI and machine learning in fraud detection that it has been difficult for many to distinguish myth from reality.

Fraud Detection 52

Fraud Detection AI Use Case Card Issuer 52

PYMNTS

OCTOBER 29, 2020

Swanback talked with PYMNTS about how the use of automation and a cloud-based infrastructure can help financial institutions (FIs) deliver an Uber-like experience for B2B payments. Automating fraud detection, meanwhile, can help provide a seamless yet secure B2B payments experience.

Automation 85

Automation B2B Payments Fraud Detection 85

Fintech News

AUGUST 13, 2024

The technology’s applications, such as improving fraud detection and automating customer service, have captured the interest of nearly 60% of all surveyed consumers. Singaporean consumers, regardless of age, are showing a strong inclination toward using generative AI for various banking services.

AI 107

AI Fraud Detection Automation Use Case 107

PYMNTS

JULY 30, 2020

The bots use optical character recognition (OCR), natural language process (NLP), and self-learning functions in “altogether new ways,” the announcement stated. The company’s collection of AI bots for the AP process now include bots for cost allocation, fraud detection, invoice reading and inbox managing.

Bots 60

Bots Automation AI Fraud Detection 60

Nanonets

MAY 31, 2023

Technologies such as machine learning and natural language processing have revolutionized the finance function by automating and streamlining various financial procedures. According to Insider Intelligence , automating financial tasks with AI has the potential to save North American banks $70 billion by 2025.

AI 122

AI Finance Fraud Detection Mitigation 122

Nanonets

AUGUST 16, 2024

But insurance claim automation is paving the way for faster, more accurate, and more customer-friendly experiences. This article explores the impact of automation on the claims landscape, whether you're an insurer looking to streamline operations or a policyholder seeking quicker resolutions. What is claims process automation?

Automation 52

Automation Process Fraud Detection Payment APIs and Integration 52

FICO

JULY 3, 2018

Payment fraud is an ideal use case for machine learning and artificial intelligence (AI), and has a long track record of successful use. Recently, however, there has been so much hype around the use of AI and machine learning in fraud detection that it has been difficult for many to distinguish myth from reality.

Fraud Detection 45

Fraud Detection AI Use Case Card Issuer 45

The Fintech Times

MARCH 5, 2024

In addition, 39 per cent of executives express dissatisfaction with the outcomes of their AI use cases further reinforcing this disconnect. For instance, just two per cent of executives indicate they are regularly tracking the business impact KPIs of their generative AI performance.

AI 128

AI Fraud Detection Automation APACS 128

Nanonets

MARCH 15, 2024

In this article, we dive into what actual AI automation looks like (and why it isn’t as straightforward). Artificial intelligence is now being applied across professional domains that are ripe for automation - areas of work such as software, law, accounting, consulting, finance and so on. The good news?

Automation 59

Automation AI Accounts Duplicate 59

The Payments Association

MARCH 18, 2025

Fintech platforms are leveraging consumers full financial footprints to deliver contextual budgeting, automated savings, and bespoke investment strategiesturning transaction data into actionable insights. Fraud detection and risk management are also evolving. Despite strong regulatory backing, adoption levels vary across Europe.

Finance 88

Finance Payment APIs and Integration Non-Bank Embedded Finance 88

Nanonets

JULY 14, 2024

Modern invoice management tools automate much of the process. This automation can significantly reduce processing time and errors. By automating manual tasks, invoice management systems save time, reduce errors, and improve cash flow. Classify all your invoices into different categories using a document classifier.

Automation 52

Automation Process Multi-Currency Online and Mobile Banking 52

Nanonets

SEPTEMBER 1, 2023

AI is wonderful for automating manual work, but automating business processes is not just as straightforward as a 1-line prompt. However, true automation looks different. Artificial intelligence is now being applied across professional domains ripe for automation - work areas such as software, law, accounting, consulting, etc.

Automation 52

Automation AI Accounts Duplicate 52

Nanonets

APRIL 1, 2024

Luckily, AP automation solutions like Nanonets and Tipalti can help. Nanonets vs. Tipalti at a glance On the surface, Nanonets and Tipalti may seem like similar AP automation solutions. Automated workflows 4.5 4 Integrations 5 4 Ease of use 5 3.5 They can be a headache for your team and a bottleneck for your business.

Automation 52

Automation Multi-Currency Fraud Detection Compliance 52

PYMNTS

JANUARY 26, 2021

PYMNTS latest Real-Time Payments Tracker® tells of how Los Angeles-based auto finance firm Westlake Financial onboarded RTP cautiously, spending six weeks testing use cases and troubleshooting fraud scenarios before switching it on. Nacha , the rulemaking entity for the Automated Clearing House networks in the U.S.,

RTP 109

RTP Real Time Payments NACHA Same Day ACH 109

The Finance Weekly

NOVEMBER 20, 2023

Top 8 AI Uses in Finance AI/ML can enhance FP&A operations in many ways. Error and Fraud Detection Ensuring the accuracy and reliability of financial data is crucial for FP&A professionals. Allegedly, their AI-driven efforts have saved them from potential fraud losses exceeding a billion dollars.

AI 130

AI Finance SWIFT Risk 130

Nanonets

JUNE 7, 2023

While Chat-GPT may be able to pass the CPA exam and generate incredible walls of text, true AI automation looks different (and isn’t as straightforward as a 1-line prompt). However, this usually leads many to the conclusion that AI-based automation is not for them - it seems cumbersome, time-consuming and expensive to implement.

Automation 52

Automation AI Accounts Duplicate 52

Nanonets

MARCH 28, 2023

It involves the use of digital tools such as automation, artificial intelligence, machine learning, the internet of things (IoT), cloud computing, and more to streamline existing processes. These technologies help businesses in automating their operations and workflows, thereby reducing manual work and increasing efficiency.

Automation 98

Automation AI Process Innovation 98

The Fintech Times

AUGUST 27, 2024

Potential use cases include: Personalised budgeting tools: Apps that offer tailored budgeting advice based on real-time financial data and spending habits, helping users manage their finances more effectively.

API 69

API Fraud Detection Use Case Accounts 69

The Fintech Times

AUGUST 14, 2024

Leveraging AI for fraud detection (68 per cent) and answering enquiries on banking products and solutions (61 per cent) were cited as desired applications by consumers from a banking perspective. Combating fraud leveraging gen AI is also another great example.

AI 75

AI Consumer Fraud Detection Payments 75

Finovate

AUGUST 13, 2024

The integration will enable Lucinity customers to consolidate, standardize, and reconcile their data within Lucinity’s unified Case Management system. “This integration will unlock new use cases like on-demand entity resolution, enabling AI-driven automations and insights to streamline case investigations.”

Financial Crimes 59

Financial Crimes Crime Compliance AI 59

PYMNTS

FEBRUARY 26, 2020

This also means fraud runs relatively unchecked among quick-service restaurants (QSRs), with total fraud losses on an average order of $15 reaching as high as $36.25. Many AI-based fraud detection solutions also leverage machine learning (ML), which allows the system to learn on its own. Selecting the Target.

Credential 56

Credential AI Fraud Detection Account Takeovers 56

PYMNTS

JUNE 4, 2020

Kam and Ulrika Claesson , the FI’s commercial business developer for open banking, explained the benefits of APIs for B2B payments, such as accelerated transaction speeds and increased automation. The biggest advantage of harnessing APIs for B2B payments is their ability to drive automation, Claesson noted. Benefits Of APIs .

API 60

API Authentication Payment APIs and Integration Security 60

PYMNTS

JUNE 11, 2019

Payment fraud is an ideal use case for machine learning and artificial intelligence (AI), and has been used by financial institutions (FIs) to great effect. In fact, a typical consumer who gets a fraud alert might not even know there was an algorithm working behind the scenes that spotted suspicious activity.

AI 56

AI Fraud Detection Payroll Rules 56

Nanonets

MARCH 4, 2024

AI technologies offer promising solutions to these age-old problems, automating mundane tasks, enhancing accuracy, and streamlining processes. Use Cases of AI in Expense Management At its core, Artificial Intelligence (AI) is the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.

AI 52

AI Payment APIs and Integration Fraud Detection Automation 52

Fintech News

JANUARY 18, 2024

In the banking sector, for example, already generative AI can automate and optimise processes like customer service, fraud detection, and bespoke financial advice, enhancing customer experience and operational efficiency.

AI 107

AI Financial Crimes Crime SWIFT 107

Nanonets

SEPTEMBER 27, 2024

The need for automation in the insurance industry is more pressing than ever. According to a recent study by Datos Insights , the insurance industry lags in terms of digitisation, with only 20% automation in underwriting and less than 3% automation in claims processing across sectors. So, let’s get started.

Process 52

Process Underwriting Automation Database 52

Nanonets

APRIL 24, 2023

Automate your mortgage processing, underwriting, fraud detection, bank reconciliations or accounting processes with a ready-to-use custom workflow. Automate your mortgage processing, underwriting, fraud detection, bank reconciliations or accounting processes with a ready-to-use custom workflow.

Origination 52

Origination Process Underwriting Automation 52

Fintech Finance

JANUARY 30, 2024

The report covers how banks can seize the growth potential of B2B instant payments and delves into top use cases. Respondents identified their biggest concerns as follows: 38% identified “faster fraud” as their number one concern. 13% felt that cannibalization of profit was their main concern.

FedNow 52

FedNow Instant Payments RFP Payment APIs and Integration 52

PYMNTS

MAY 6, 2020

It is important to make sure data has been comprehensively verified as well, meaning banks must employ advanced tools like artificial intelligence (AI) and machine learning (ML) to rapidly wade through it and isolate potential fraud patterns. Failing to catch fraud often has disastrous short- and long-term consequences for FIs, too.

Fraud Prevention 72

Fraud Prevention Money Laundering AI Identity Theft 72

Nanonets

JUNE 4, 2024

 With advancements in AI and machine learning, some of the best OCR software available today can even automate data capture workflows end to end from various business documents.  So how does one go about choosing the best OCR software that's appropriate for their use case? We've got you covered. well mostly.

Use Case 52

Use Case Automation AI Online and Mobile Banking 52