Artificial Intelligence

End User Computing (EUC) Applications Analyzer Co-Pilot

Enhance OPA Reporting with Generative AI for Accuracy & Compliance

Streamlined OPA Reporting for Financial Institutions

Financial institutions must ensure consistent and accurate reporting for both regulatory and internal validation purposes. The creation of Operational Process Assessment (OPA) reports is a key part of this process, but manual report generation can be time-consuming and prone to inconsistency. The Risk Analyst Co-Pilot leverages AI to automate and improve the OPA reporting process, enabling faster, more accurate reporting that aligns with industry standards. This automation empowers teams to redirect resources toward high-value tasks, reducing delays and minimizing the potential for human error.

Problem Statement 

Dependence on EUC Applications

Organizations use EUCs for essential business tasks, but these applications often lack robust controls, leading to potential inefficiencies, errors, and compliance risks. 

Regulatory Risks

The absence of formal management processes in EUCs can result in noncompliance with regulatory requirements, making it critical to enhance the analysis and automation of these applications. 

Solution Overview

The Risk Analyst Co-Pilot automates the OPA report generation process, producing AI-driven drafts that meet regulatory standards and reduce manual intervention. By using prompt engineering and advanced AI tools, the Co-Pilot synthesizes data inputs into well-structured reports, offering an efficient, scalable solution for OPA reporting.

Key Features 

Data Sources

List all data sources, including connection details and authentication methods. 

Data Variables

Identify all variables, including derived variables. 

Data Transformations

Document transformation steps within the EUC application. 

Data Lineage

Map dependencies, relationships, and hierarchies across data sources and outputs. 

Error Handling

Document the error handling mechanisms in place. 

Security and Authentication

Identify the security mechanisms and encryption used within the workflows. 

Performance Optimization

Document techniques used to optimize performance, such as data partitioning and parallel processing. 

Technology Stack 

The EUC Analyzer is built using:

  • Azure OpenAI (GPT-4O)
  • Langchain
  • AutoGen
  • Prompt Engineering & Agents

Benefits

Automated Draft Validation Reports

The Co-Pilot generates draft validation reports for further review, reducing manual effort and ensuring that organizations meet compliance standards. 

Improved EUC Categorization and Risk Assessment

By categorizing and assessing EUC applications based on their risks, organizations can prioritize risk management efforts more effectively. 

Enhanced Compliance and Monitoring Capabilities

The Co-Pilot enhances the monitoring and compliance capabilities of organizations, allowing them to better manage and mitigate the risks associated with EUC applications. 

The EUC Analyzer Co-Pilot provides a comprehensive solution for analyzing and managing End User Computing applications, ensuring that organizations meet their regulatory commitments while reducing operational risks associated with EUCs. 
EUC (End-User Computing) / Rogue Data Automations Analyzer Co-Pilot

Contact us

We Measure the Success by the value delivered to Your End Users

We’re happy to answer any questions and help you determine which of our capabilities best fits your needs. 

Contact : 614-356-8153 
Email : info@dataeconomy.io 
Your benefits:
  • Speed to Market
  • Deep Domain Expertise
  • Competitive Pricing
  • Results-Driven
  • Delivery Assurance
  • Low TCO
What happens next?
1

We schedule a call at your convenience 

2

We do a discovery and consulting meeting 

3

We prepare a proposal 

Let's Connect