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AI-native AML compliance for fintechs & banks

Flagright.com offers real-time AI-driven AML compliance and fraud prevention to enhance risk management for financial institutions.
Flagright.com offers real-time AI-driven AML compliance and fraud prevention for financial institutions to enhance risk management and operational efficiency.

About the product

Main idea

AI within Flagright.com automates complex tasks associated with AML compliance and fraud detection, thus freeing up valuable human resources for higher-order tasks. The AI algorithms analyze vast datasets to identify suspicious patterns and behaviors, improving the accuracy of risk assessments and reducing false positives significantly.

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Details

Flagright.com functions by integrating deeply into the financial institution's existing systems, providing real-time monitoring and analytics through its accessible API. Users interact with a no-code platform to set and adjust rules for transaction monitoring, risk assessments, and compliance workflows, minimizing the need for extensive engineering resources.

The platform's AI-powered algorithms analyze transaction data, customer behaviors, and external data sources to flag potential risks and generate reports. Integrated automation tools handle tasks such as case management and Suspicious Activity Report (SAR) filings, consolidating all relevant data into an intuitive interface. This process vastly increases operational efficiency, enabling faster and more accurate decision-making.

Key features

  • Real-Time Transaction Monitoring: Provides risk-based monitoring and immediate detection of suspicious activities using the advanced rules engine.
  • AI Forensics: Advanced AI capabilities process large datasets efficiently and generate precise, actionable insights for AML investigations.
  • Case Management: Centralizes and automates case management, facilitating efficient investigation and compliance workflow.
  • Customer Risk Assessment: Automates risk scoring and ongoing risk assessments using data-driven AI models to identify potential threats.
  • Sanctions Screening: Screens individuals and entities against updated global sanctions lists, including PEP and adverse media data.
  • Merchant Monitoring: Tracks changes in merchant profiles using AI-powered analytics to mitigate risks and prevent fraud.

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Test the skills on real cases

Potis works on automated behavioral interviews.
Candidates will be asked to give examples of how they handled situations in a real case.

Scenario environment

You are a Project Manager at Experlogix, a global software company specializing in Configure Price Quote (CPQ) solutions. You are currently leading a team of solution consultants, architects, team leads, and support team members. The company has recently acquired a new client in the life sciences industry who wants to implement the CPQ software for their complex configurable products and services. The project will involve both a waterfall-based discovery and solution design phase, followed by Agile-based modelling sprints. The client has high expectations for a seamless implementation and expects the project to be delivered within a specific timeframe and budget.

Role specificity

As the Project Manager, you are responsible for leading the project team and ensuring the successful delivery of the CPQ implementation. You have the authority to make decisions regarding project planning, resource allocation, and stakeholder management. You will work closely with solution consultants, architects, team leads, and support team members to define and develop appropriate solutions while managing expectations to deliver an incredible customer experience.",

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Build your ideal assessment

Add a job description and the required skills, the service will automatically generate interview questions and create a case.

Anti cheat way to assess

Unlike online-tests, it’s impossible to prepare for behavioral case structured interview.
AI question

Clear & bias free talent scoring

Get useful information about every candidate: by hard/ soft skills, strengths and weaknesses.

01. Technical Skills:

  • Software development methodologies (e.g., Agile, Scrum, Waterfall)
  • Programming languages, databases, and other relevant technologies
  • Software testing and quality assurance
  • Software architecture and system design

02. Strengths:

  • Lead and communicate: clearly define goals, motivate teams, and resolve issues.
  • Plan and organize: keep projects on track, manage resources, and meet deadlines.
  • Solve and adapt: troubleshoot problems, manage risks, and adjust to change.

03. Weaknesses:

  • Limited technical depth: difficulty with complex technical issues or developer communication.
  • Micromanaging tendencies: stifles creativity and reduces morale.
  • Scope creep and conflict: challenges managing changing priorities and resolving disagreements.