Transform Finance with Intelligent, Scalable Solutions

Veraqor empowers financial institutions with AI, ML, and cloud-driven solutions to enhance forecasting, risk management, and fraud detection. Our advanced technologies streamline processes, improve compliance, and unlock valuable insights for data-driven decision-making and sustainable growth.

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What You Can Do: Overcoming Financial Challenges
Improving Financial Forecasting Accuracy for Smarter Decision-Making
Unreliable predictions can lead to poor resource allocation. AI-driven forecasting analyzes vast datasets in real-time, providing precise financial projections and enabling better strategic planning for long-term success.

40%

improvement in financial projections comes from AI-driven forecasting, allowing for better resource allocation and strategic planning.
Mitigating Financial Fraud with AI-Powered Detection
Traditional fraud detection struggles with evolving threats. AI algorithms analyze patterns, detect anomalies, and flag suspicious transactions in real-time, strengthening security and compliance.

30%

reduction in fraudulent transactions is achieved through AI-powered fraud detection, leveraging real-time anomaly detection to enhance security and compliance.
Optimizing Risk Management with Predictive Analytics
Unexpected risks can destabilize operations. Predictive analytics help identify and mitigate potential threats, ensuring compliance and business continuity with proactive risk management.

25%

reduction in risk is realized with predictive analytics, identifying potential threats early and ensuring proactive business continuity.
Enhancing Financial Planning & Analysis with Data-Driven Insights
Manual planning is time-consuming and error-prone. AI-driven FP&A automates budgeting, forecasting, and scenario analysis, delivering real-time insights for confident financial decision-making.

50%

less time is spent on budgeting and forecasting with AI-driven FP&A, enabling faster, more accurate decision-making insights.
Driving Revenue Growth with Advanced Financial Analytics
Understanding customer behavior and revenue trends is key to growth. AI-powered analytics provide actionable insights, helping businesses refine pricing, segment customers, and optimize revenue opportunities.

20%

increase in revenue is driven by advanced financial analytics powered by AI, offering actionable insights into customer behavior and market trends.
Intelligent Technologies to Drive Financial Excellence

Veraqor leverages AI, ML, and real-time analytics to modernize financial operations. Our solutions enhance decision-making, automate processes, and optimize financial performance for long-term growth.

Finance Forecasting
Fraud Management
Risk Management
Financial Planning & Analysis
Customer Revenue Growth Factor
Our Partnerships

Experience Financial Transformation with a Demo

See how Veraqor’s intelligent financial solutions enhance financial operations.

  • Improve forecasting accuracy.
  • Strengthen fraud detection and risk management.
  • Optimize financial planning and analytics.
Request a Demo Today
See How Organizations Are Innovating

Situation

BESTSELLER, a global fashion retailer with a vast network of stores across multiple continents, faced challenges related to fraud and inventory loss, often stemming from both customer transactions and employee-related activities. The company needed a reliable solution to quickly identify and investigate potential fraud and loss, while also maintaining a culture of trust among employees.

Solution

BESTSELLER implemented Microsoft Dynamics 365 Fraud Protection, a powerful fraud detection system powered by adaptive AI. This solution utilizes transaction data and inventory patterns to spot fraudulent activity across a large network of stores. The cloud-based system helps the retailer identify potential fraud cases faster and with greater accuracy compared to manual investigations, reducing the risk of making inaccurate claims against employees.

Impact​

After rolling out the solution to 76 stores in Europe, BESTSELLER saw significant results, including a 1.2% reduction in discount fraud and a 2.9% reduction in return fraud. These improvements translated into millions of dollars in potential savings. The success of the pilot led to an expanded deployment, with plans to extend Fraud Protection globally.

Situation

Eaton, a global leader in intelligent power management, faced challenges managing its financial workflows and standard operating procedures (SOPs). The company needed a solution that would centralize and streamline its data across teams, particularly within its finance department, to support more efficient decision-making and reporting.

Solution

To address these issues, Eaton adopted Microsoft 365 Copilot, an AI-powered tool designed to automate documentation and improve data access across the organization. With Copilot, Eaton was able to automate the creation of 1,000 SOPs, reducing the time required to complete each document from one hour to just 10 minutes.

Impact​

The implementation of Microsoft 365 Copilot had a significant impact on Eaton’s operations. The company saved more than 650 hours of work, equivalent to roughly one-third of a full-time employee's workload. The time to create SOPs was reduced by 83%, allowing Eaton’s finance and customer service teams to improve efficiency and response times.

Situation

Somerset Council, formed from five merged councils, struggled with 50 disconnected applications and outdated financial systems. Manual processes led to inefficiencies, compliance risks, and slow fund disbursement. The UK’s Local Government Reorganisation (LGR) agenda mandated a unified financial system. A modern, centralized platform was essential for improving efficiency, compliance, and financial transparency.

Solution

Somerset Council implemented Microsoft Dynamics 365 Finance. A Logic Apps B2B-based integration unified financial operations, replacing fragmented legacy systems. A workshop-and-playback approach ensured smooth migration and user adoption. Within 10 months, the council transitioned to a modern, compliant financial platform.

Impact​

The centralized financial system improved efficiency, accuracy, and compliance across all operations. The No PO, No Pay policy streamlined procurement, reducing financial mismanagement. Within eight months, the system evolved into a fully functional AI-powered solution. The council is now integrating Microsoft Copilot and BPA for advanced analytics and future-ready financial governance.

Situation

The rise of instant payments and cross-border transactions has increased financial fraud, costing institutions hundreds of billions annually. Traditional fraud detection methods struggle to keep pace with evolving threats. Swift, a global financial messaging leader, needed an innovative, industry-wide approach to combat financial crime. Ensuring security while maintaining transaction speed and compliance became a critical challenge.

Solution

Swift partnered with Microsoft to develop an AI-driven anomaly detection model using Azure Machine Learning and confidential computing. The model leverages federated learning to analyze data securely without transferring it. Financial institutions contribute insights while keeping their data private and protected. This enables a collaborative approach to fraud detection with enhanced security and accuracy.

Impact​

The AI-powered model significantly improves fraud detection accuracy and response times, reducing financial losses across 11,500+ institutions. Institutions benefit from real-time, data-driven insights without compromising security or privacy. This approach sets a new industry standard in fraud prevention, improving operational efficiency and compliance. The collaboration is expected to save financial institutions billions annually by preventing fraudulent transactions.
Generating Business Value Across Industries
Enhancing Banking Forecasting for Smarter Decision-Making

AI-driven financial forecasting leverages real-time data analysis to enhance cash flow management, optimize lending strategies, and improve investment decisions. This enables banks to mitigate risks, allocate resources effectively, and ensure long-term financial stability.

Strengthening Fraud Detection in Digital Payments

Advanced machine learning models analyze vast volumes of transaction data to detect anomalies, flag suspicious activities, and prevent fraud in real-time. This proactive approach safeguards businesses and consumers from financial losses while enhancing trust in digital transactions.

Optimizing Risk Management in Investment Firms

Predictive analytics assess market trends, volatility, and potential financial risks, enabling investment firms to make data-driven decisions. By leveraging AI, firms can minimize exposure, optimize portfolio performance, and maximize returns with greater confidence.

Improving Financial Planning for Enterprises

AI-powered financial planning solutions automate budgeting, forecasting, and scenario analysis, providing real-time insights into financial health. These capabilities help enterprises reduce errors, optimize resource allocation, and improve overall financial strategy.

Driving Revenue Growth in Retail Banking

Financial analytics track customer spending patterns, preferences, and engagement metrics to refine pricing strategies, personalize offerings, and increase customer retention. This data-driven approach helps banks enhance profitability and sustain long-term growth.

Ensuring Regulatory Compliance in Financial Services

AI-driven compliance tools streamline regulatory reporting, monitor financial transactions for compliance risks, and ensure adherence to evolving regulations. By reducing manual effort and human error, financial institutions maintain compliance while enhancing operational efficiency.

AI-Driven Financial Efficiency for Government Entities
Optimize budget allocation, fraud detection, and financial service delivery with AI-powered insights, ensuring transparency, efficiency, and data-driven decision-making for public sector financial management.
Achieving End-to-End Financial Data Visibility for Smarter Insights

Integrated AI-driven financial data solutions unify disparate data sources, offering real-time visibility into key financial metrics. This enhances forecasting accuracy, streamlines decision-making, and empowers organizations to drive better financial outcomes.