Banking 360

Banking 360

Transparent Monitoring of Customer Accounts and Related Employee Activities

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Fraud Management Ecosystem Built for Small & Mid-sized Banks
and Local Credit Unions

Fraudulent Accounts

  • Monitor every account, transaction and customer interaction on a single platform.
  • Detect oversight in dormant and inactive accounts before misuse occurs.
  • Simultaneously monitor multiple rogue activities across active, dormant, savings, credit, and loan portfolios.

Employee Behavioral Misconduct

  • Analyze employee behavior and account management activities to uncover patterns of misconduct or emerging risk. 
  • Assign unique risk ratings to prioritize suspicious activities by transaction, account, or employee for a given period. 
  • Identify conflicts of interest through a unified behavioral analysis of customer account activity and employee activity. 

AML/KYC Oversight

  • Align algorithm risk weightage to organizational policies and procedures, focusing on risk that matters the most. 
  • Strengthen AML/KYC oversight with advanced machine learning algorithms and predictive analytics.  
  • Reduce investigation time and false positives by leveraging historical investigative reports.  
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Designed for Banking Professionals Responsible for Risk Oversight, Governance and Regulatory Compliance

Compliance Teams
Seeking continuous monitoring and regulatory confidence.

Internal Audit Teams
Requiring complete visibility and audit-ready documentation.

Fraud and Financial Crime Units
Focused on early detection and prevention.

Risk and Governance Leaders
Looking to strengthen accountability and transparency.
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Why Banks Choose konaAI

Oversight in employee behavior,  high-risk accounts, and routine account management often create hidden patterns of risk that traditional monitoring systems fail to identify. konaAI’s research-driven, analytics-powered risk management platform is designed to monitor customers’ account activity and employees’ transactional behavior, replacing hindsight-driven reviews with proactive, continuous risk oversight.

One Platform. Unlimited Possibilities.

Flexible Data Integration:
Works with any ERP or legacy system.

Easy to Use:
Train your team in under an hour.

Robust Assessment Library:
25+ years of proven anti-fraud analytics expertise.

Transparent fee structure:
Multi-user access, unlimited reporting, and data sources.

Enterprise Ready:
Supports compliance, audit and fraud controls on one system.

Proven Leadership:
Built by former Big 4 and Fortune 500 global audit and compliance experts.

Integrated Case Management:
Streamline reviews with fully auditable workflows that simplify documentation and reporting.

Conflict of Interest Pattern and Link Analysis

konaAI’s AI Agents leverage Retrieval-Augmented Generation (RAG) and Context-Augmented Generation (CAG) to provide evidence-backed defensible insights.
Ask our agents to provide an integrated analysis of sanctions, industry best practices, company policies, procedures, transactions, and use cases. Identify hidden relationships and conflicting behavioral patterns by connecting the dots across employee actions, customer activity, vendor relationships, and account transactions.
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Frequently Asked Questions

How do I integrate konaAI platform with my company's ERP system?

Integration is seamless through file extracts, uploads and/or APIs. konaAI’s internal audit software supports data completeness and accuracy, ensuring compliance with the New IIA Standard Principle 7 (Information Management) which requires auditors to maintain quality, reliable information to support audit conclusions.

How do I leverage data analytics for more effective audits?

konaAI is a specialized data analytics solution designed for internal audit professionals. It helps automate audit testing, detection of control gaps, and monitoring financial and operational risks.

konaAI provides an anti-fraud solution with a ready-to-use analytic test library, dashboards, and exception reports that simplify the audit of key business processes. We help auditors focus on high-risk areas, making testing more data-driven and less manual.

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