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Reuse identity, reduce friction: up to 5X faster verification of trusted customers & users

The Payments Association

Each ID-Pal Once profile is built from already-verified identity data, but critically, this information is re-validated against an organisation’s own risk rules, without requiring the end user to repeat the submission process. This ensures ongoing compliance while minimising user friction.

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Banking on Intelligence: The Global Sprint to AI Maturity in Finance

Finextra

Use Cases and Impact U.S. banks are applying AI in a range of use cases. On the risk and operations side, common uses include fraud detection, anti-money-laundering pattern detection, credit risk scoring and trading optimization. using Microsoft Azure OpenAI service to build custom chatbots for customer service).

AI 69
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How to automate Accounts Payable using LLM-Powered Multi Agent Systems

Nanonets

By the end of this blog, you’ll understand how to code your own AP agent for your own invoice use-case. Tools and Resources : Agents use tools like databases for validation or APIs to access external data, boosting their efficiency and capabilities. Components of an AP system.

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Medius launches Medius Payments

The Paypers

At the same time, approval rules, fraud detection, and audit trails are embedded directly into the system in order to reduce fraud exposure, improve visibility, and enable fast, policy-aligned payments without the need for additional software or manual processes.

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Top 100 Fintech Tools and Platforms for Businesses

Fintech Review

Weavr A plug-and-play embedded finance platform designed for non-financial companies, with ready-made use case templates. Persona Provides fully customisable identity verification flows with options for ID checks, biometrics, and database lookups. Best for : Businesses seeking quick-to-launch card solutions.

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Top 9 Amazon Textract alternatives for data extraction

Nanonets

4 Docparser Rule-based extraction 4.6/5 5 No Custom pricing 46.3 (*Refer to scoring methodology at the bottom) Now, let's examine each alternative in detail to understand their specific strengths, limitations, and ideal use cases. 4 Docparser Rule-based extraction 4.6/5 Database matching for data verification 7.

Volume 52
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SEON launches AI-powered anti-money laundering suite

The Paypers

More information on SEON’s AI-powered AML suite launch According to the official press release, SEON’s AML Compliance solution was developed through customer collaboration in order to apply the same real-time capabilities, data quality, and limitless customisation to compliance use cases.