Finance

Automated Transaction Monitoring for Compliance

Deploy an AI-powered transaction monitoring system that scrutinizes financial activities to ensure they conform to established policies, providing immediate alerts on any exceptions

Solution

Implement an AI-based solution interfaced with JDE that leverages Compliance Monitoring platforms and Exception Management software to track and manage policy adherence in financial transactions

Result

Enhanced Compliance Monitoring
Immediate Exception Alerts
Adaptive Alert Thresholds
Effective Police Enforcement
Comprehensive Audit Trails

Indicative AI Models & Methods

AI-Driven Transaction Analysis
Real-Time Exception Alerts
Self-Learning Thresholds for Alerts
Automated Policy Enforcement
Audit Trail Generation

Implementation ease:

High.

Indicative Effort:

200 – 250 days

AI-Powered Cash Flow Forecasting

Deploy machine learning models to automatically generate cash flow forecasts, enhancing accuracy by analyzing historical trends and recognizing patterns in financial data.

Solution

An automated forecasting system using AI algorithms interfaced with JDE Financials and Cash Management tools will predict cash flow scenarios, assisting in more precise liquidity management and strategic financial planning

Result

Enhanced Forecasting Accuracy
Strategic Financial Planning Support
Adaptability to Market Changes
Seamless Integration with Financial Tools
Flexible Forecasting Options

Indicative AI Models & Methods

Historical Data Analysis for Forecast Training
Pattern Recognition Algorithms
Scenario Planning Capabilities
Integration with Financial Management Systems
Customizable Forecasting Intervals

Implementation ease:

Moderate to High.

Indicative Effort:

200 – 250 days

Automated Performance-Based Bonus Calculation

Automate the bonus calculation process by integrating AI with JDE Human Capital Management, utilizing performance metrics to determine employee incentives accurately and efficiently.

Solution

Create an automated incentive management solution that collects performance data from JDE, processes it through BI tools, and calculates bonuses using predefined algorithms, significantly reducing manual effort and ensuring fair and consistent bonus distribution

Result

Streamlined Bonus Calculation Process
Increased Accuracy and Fairness
Enhanced Transparency in Incentive Management
Customization and Flexibility
Seamless Payroll Integration

Indicative AI Models & Methods

Performance Data Analysis
Algorithmic Bonus Distribution:
Transparent Reporting Mechanism
Configurable Criteria for Bonus Calculation
Integration with Payroll Systems:

Implementation ease:

Moderate.

Indicative Effort:

160 – 210 days

Real-Time AI-Driven Financial Dashboards For Business Units

Implement AI-driven dashboards that provide real-time, department- specific financial insights, thereby enhancing transparency and collaboration between the FP&A team and various business units.

Solution

A custom BI dashboard solution integrated with JDE and streaming services to provide a centralized, real-time view of financial metrics, enabling business units to make informed decisions quickly.

Result

Improved Financial Insight and Transparency.
Enhanced Decision-Making Process.
Increased Collaboration.
Proactive Financial Management.
User-Friendly Interaction with Financial Data.

Indicative AI Models & Methods

Indicative AI Models & Methods

Real-Time Data Streaming and Processing.
Interactive Dashboard Development.
Custom Dashboard Design and Development.
Implementation of AI-Driven Alerts.
Integration and Compatibility Testing.
User Training and Adoption.
Effort Estimate.

Implementation:

Moderate to High.

Indicative Effort:

180 – 230 days.

Automated Invoice Uploading to Web Portals

Automation of invoice uploading process on various customer web portals, targeting the top portals that account for the majority of invoice volume.

Solution

Develop an automation interface that integrates with JDE to retrieve invoices and batch-upload them to designated customer web portals, thereby saving manual effort and reducing errors.

Result

Increased Process Efficiency.
Reduced Error Rates.
Effective Batch Processing.
Enhanced Monitoring and Reporting.
Scalable Solution.

Indicative AI Models & Methods

Indicative AI Models & Methods

Robotic Process Automation (RPA) for Batch Processing.
Custom Portal Integration.
AI-Driven Error Handling.
Data Analytics for Monitoring and Reporting.

Implementation:

Moderate to High.

Indicative Effort:

180 – 240 days.

T-JOB Report Automation In Billing

Automating the generation of T-job reports that are currently compiled manually 5-8 times a month, with the challenge of unstandardized data formats.

Solution

Implement an AI-driven system to extract data from various source documents, standardize the format, and generate T-job reports automatically, ensuring accuracy and consistency.

Result

Increased Efficiency in Report Generation.
Consistency and Accuracy in Reports.
Timely Report Delivery.
Enhanced Error Management.
Continuous Improvement of Reporting Process.

Indicative AI Models & Methods

Indicative AI Models & Methods

Data Standardization Engine.
Automated Report Generation Scheduler.
Dynamic Template Adaptation.
Error Detection and Alert Mechanism.
Historical Data Analysis for Process Improvement.

Implementation:

Moderate.

Indicative Effort:

160 – 210 days.

Prioritization of Collections For Dispute Cases

Enhancing the collections process for dispute cases by utilizing AI to prioritize customer follow-ups based on dollar value and account ageing, integrating seamlessly with the accounting system.

Solution

An AI-enhanced prioritization system that intelligently categorizes customers based on the financial impact and urgency, focusing efforts on high-value, aged receivables first.

Result

Efficient Collections Process.
Focused Collection Efforts.
Effective Dispute Management.
Predictive Cash Flow Insights.
DynamicLearningandImprovement.
Enhanced Reporting and Visibility.

Indicative AI Models & Methods

Indicative AI Models & Methods

Predictive Analytics for Prioritization.
AI-Driven Value-Based Prioritization.
Machine Learning for Dispute Case Management.
Data Analytics for Reporting Dashboards.

Implementation:

Moderate to High.

Indicative Effort:

180 – 230 days.

Invoice Payments Reconciliation

Our client was having issues in some of their invoice payments, and need to identify on time those InvoAdmin Vendor Linksices in order to keep their DB updated with the invoice status and get a solution according to the customer needs.

Solution

We built a solution using RPA, SQL (Configurable Queries Execution) and a configurable payment portal navigation that allowed us to extract key customer information needed to keep the client’s DB updated with all the necessary payment information. This allows the AR Reps to focus on communicating with customers to solve their payment needs.

Result

Increased Efficiency
Dramatic Reduction in Manual Hours
Faster Transaction Times
Significant Error Reduction

Indicative AI Models & Methods

Indicative AI Models & Methods

Robotic Process Automation (RPA)
SQL for Configurable Queries Execution
Configurable Payment Portal Navigation

Implementation:

Moderate.

Indicative Effort:

120 – 150 days

Automated Transaction Monitoring for Compliance

Deploy an AI-powered transaction monitoring system that scrutinizes financial activities to ensure they conform to established policies, providing immediate alerts on any exceptions

Solution

Implement an AI-based solution interfaced with JDE that leverages Compliance Monitoring platforms and Exception Management software to track and manage policy adherence in financial transactions

Result

Enhanced Compliance Monitoring
Immediate Exception Alerts
Adaptive Alert Thresholds
Effective Police Enforcement
Comprehensive Audit Trails

Indicative AI Models & Methods

Indicative AI Models & Methods

AI-Driven Transaction Analysis
Real-Time Exception Alerts
Self-Learning Thresholds for Alerts
Automated Policy Enforcement
Audit Trail Generation

Implementation:

High.

Indicative Effort:

200 – 250 days