
Business Requirements for AI-Powered Merchant Portfolio
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Versatile and Top Rated Digital Expert | Web Designer & Developer | Digital Marketer | Shopify Specialist | Content Creator & Translator
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Description
Experience Level: Entry
I need a business analyst to set out the requirement for the Risk Management Software. Lakedale Financial Technology aims to develop an AI-powered Merchant Portfolio Risk Management Software with integrated cybersecurity features. The solution will cater to Payment Service Providers (PSPs), acquiring banks, e-commerce platforms, and other financial institutions to enhance risk management, fraud detection, and regulatory compliance2.1 Goals
Develop an AI-powered risk management platform for real-time monitoring of merchant transactions.
Enhance fraud detection and regulatory compliance using AI-driven analytics.
Provide automated risk scoring and alerts to PSPs and financial institutions.
Offer cybersecurity integration to prevent data breaches and fraud.
Ensure seamless API integration with PSPs, acquiring banks, and payment processors.
Generate revenue through subscription-based licensing and transaction fees.
2.2 Key Success Metrics
Detection Accuracy: AI-powered fraud detection accuracy ≥ 95%.
Compliance Readiness: 100% adherence to regulatory standards (FCA, PSD2, AML, GDPR).
Uptime & Performance: 99.9% system uptime for real-time risk monitoring.
Market Adoption: 20+ PSPs and acquiring banks onboarded within the first 18 months.
Revenue Growth: Achieve £5M in ARR (Annual Recurring Revenue) within 3 years..
Develop an AI-powered risk management platform for real-time monitoring of merchant transactions.
Enhance fraud detection and regulatory compliance using AI-driven analytics.
Provide automated risk scoring and alerts to PSPs and financial institutions.
Offer cybersecurity integration to prevent data breaches and fraud.
Ensure seamless API integration with PSPs, acquiring banks, and payment processors.
Generate revenue through subscription-based licensing and transaction fees.
2.2 Key Success Metrics
Detection Accuracy: AI-powered fraud detection accuracy ≥ 95%.
Compliance Readiness: 100% adherence to regulatory standards (FCA, PSD2, AML, GDPR).
Uptime & Performance: 99.9% system uptime for real-time risk monitoring.
Market Adoption: 20+ PSPs and acquiring banks onboarded within the first 18 months.
Revenue Growth: Achieve £5M in ARR (Annual Recurring Revenue) within 3 years..

Ade A.
100% (89)Projects Completed
60
Freelancers worked with
56
Projects awarded
38%
Last project
24 Sep 2025
United Kingdom
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