Identify hidden financial risks using existing data
기업 데이터 속 숨겨진
재무 리스크를 식별합니다
GRAM Radar
GRAM Radar
Analyze financial and transactional data to identify unusual patterns, high-risk signals, and control gaps
— before they become larger issues.
재무·거래 데이터를 분석해 이상징후와 고위험 신호를 식별하고,
우선 점검이 필요한 영역과
대응 방향을 제시합니다.
GRAM Radar
재무·거래 데이터를 분석해 이상징후와 고위험 신호를 식별하고,
우선 점검이 필요한 영역과
대응 방향을 제시합니다.
Identify hidden financial risks using existing data
기업 데이터 속 숨겨진
재무 리스크를 식별합니다
GRAM Radar
Analyze financial and transactional data to identify unusual patterns, high-risk signals, and control gaps
— before they become larger issues.
기업 데이터 속 숨겨진 재무 리스크를 식별합니다
Identify hidden financial risks using existing data
GRAM Radar
GRAM Radar
재무·거래 데이터를 분석해 이상징후와 고위험 신호를 식별하고,
우선 점검이 필요한 영역과 대응 방향을 제시합니다.
Analyze financial and transactional data to identify unusual patterns, high-risk signals, and control gaps
— before they become larger issues.
What is GRAM Radar?
What is GRAM Radar?
What is GRAM Radar?
GRAM Radar
GRAM Radar is a data-driven risk diagnostic solution that analyzes financial and transactional data to identify unusual patterns, high-risk signals, and signs of internal control weaknesses.
Many financial risks remain hidden — not because organizations lack data, but because transaction-level patterns are not systematically reviewed.
By surfacing these patterns, GRAM Radar helps management and internal audit teams move beyond sample-based reviews and focus deeper review on the areas that matter most.
GRAM Radar
GRAM Radar is a data-driven risk diagnostic solution that analyzes financial and transactional data to detect anomalies and signs of internal control weaknesses.
It helps management and internal audit teams move beyond sample-based reviews by identifying meaningful patterns across large volumes of transactions and highlighting where deeper review is most needed.
GRAM Radar
GRAM Radar is a data-driven risk diagnostic solution that analyzes financial and transactional data to detect anomalies and signs of internal control weaknesses.
It helps management and internal audit teams move beyond sample-based reviews by identifying meaningful patterns across large volumes of transactions and highlighting where deeper review is most needed.
GRAM Radar
GRAM Radar is a data-driven risk diagnostic solution that analyzes financial and transactional data to identify unusual patterns, high-risk signals, and signs of internal control weaknesses.
Many financial risks remain hidden — not because organizations lack data, but because transaction-level patterns are not systematically reviewed.
By surfacing these patterns, GRAM Radar helps management and internal audit teams move beyond sample-based reviews and focus deeper review on the areas that matter most.
GRAM Radar
GRAM Radar is a data-driven risk diagnostic solution that analyzes financial and transactional data to identify unusual patterns, high-risk signals, and signs of internal control weaknesses.
Many financial risks remain hidden — not because organizations lack data, but because transaction-level patterns are not systematically reviewed.
By surfacing these patterns, GRAM Radar helps management and internal audit teams move beyond sample-based reviews and focus deeper review on the areas that matter most.
GRAM Radar
GRAM Radar is a data-driven risk diagnostic solution that analyzes financial and transactional data to detect anomalies and signs of internal control weaknesses.
It helps management and internal audit teams move beyond sample-based reviews by identifying meaningful patterns across large volumes of transactions and highlighting where deeper review is most needed.
Why a Data-Driven Risk Diagnostic Matters
Many companies already hold ERP and accounting data, but few have a practical way to systematically review transaction-level anomalies and risk signals.
As a result, issues such as duplicate payments, split transactions, unusual approval behavior, circular flows, and mismatches between master data and transactions may remain undetected until after problems emerge.
GRAM Radar helps surface these signals from data and provides a practical basis for deciding which areas require priority review.
-
Transaction-level anomalies that sample-based reviews may miss
-
Large volumes of data that are difficult to review manually
-
Risk signals that should be identified before issues escalate
-
Actionable outputs for management and internal audit teams
Why a Data-Driven Risk Diagnostic Matters
Many companies already hold ERP and accounting data, but few have a practical way to systematically review transaction-level anomalies and risk signals.
As a result, issues such as duplicate payments, split transactions, unusual approval behavior, circular flows, and mismatches between master data and transactions may remain undetected until after problems emerge.
GRAM Radar helps surface these signals from data and provides a practical basis for deciding which areas require priority review.
-
Transaction-level anomalies that sample-based reviews may miss
-
Large volumes of data that are difficult to review manually
-
Risk signals that should be identified before issues escalate
-
Actionable outputs for management and internal audit teams
Why a Data-Driven Risk Diagnostic Matters
Many companies already hold ERP and accounting data, but few have a practical way to systematically review transaction-level anomalies and risk signals.
As a result, issues such as duplicate payments, split transactions, unusual approval behavior, circular flows, and mismatches between master data and transactions may remain undetected until after problems emerge.
GRAM Radar helps surface these signals from data and provides a practical basis for deciding which areas require priority review.
-
Transaction-level anomalies that sample-based reviews may miss
-
Large volumes of data that are difficult to review manually
-
Risk signals that should be identified before issues escalate
-
Actionable outputs for management and internal audit teams
Why a Data-Driven Risk Diagnostic Matters
Many companies already hold ERP and accounting data, but few have a practical way to systematically review transaction-level anomalies and risk signals.
As a result, issues such as duplicate payments, split transactions, unusual approval behavior, circular flows, and mismatches between master data and transactions may remain undetected until after problems emerge.
GRAM Radar helps surface these signals from data and provides a practical basis for deciding which areas require priority review.
-
Transaction-level anomalies that sample-based reviews may miss
-
Large volumes of data that are difficult to review manually
-
Risk signals that should be identified before issues escalate
-
Actionable outputs for management and internal audit teams
Why a Data-Driven Risk Diagnostic Matters
Many companies already hold ERP and accounting data, but few have a practical way to systematically review transaction-level anomalies and risk signals.
As a result, issues such as duplicate payments, split transactions, unusual approval behavior, circular flows, and mismatches between master data and transactions may remain undetected until after problems emerge.
GRAM Radar helps surface these signals from data and provides a practical basis for deciding which areas require priority review.
-
Transaction-level anomalies that sample-based reviews may miss
-
Large volumes of data that are difficult to review manually
-
Risk signals that should be identified before issues escalate
-
Actionable outputs for management and internal audit teams
Why a Data-Driven Risk Diagnostic Matters
Many companies already hold ERP and accounting data, but few have a practical way to systematically review transaction-level anomalies and risk signals.
As a result, issues such as duplicate payments, split transactions, unusual approval behavior, circular flows, and mismatches between master data and transactions may remain undetected until after problems emerge.
GRAM Radar helps surface these signals from data and provides a practical basis for deciding which areas require priority review.
-
Transaction-level anomalies that sample-based reviews may miss
-
Large volumes of data that are difficult to review manually
-
Risk signals that should be identified before issues escalate
-
Actionable outputs for management and internal audit teams
Key Risk Areas
GRAM Radar goes beyond single anomaly detection. It analyzes transaction-level patterns and related signals across nearly 200 risk scenarios covering AP, AR, procurement, expenses, payments, master data, and access-related areas.
Duplicate Payments
Checks for potential repeated payments by combining signals such as similar amounts, vendors, dates, and invoice information — not just exact duplicates.
Split Payments
Detect payment patterns that may indicate attempts to avoid approval limits or internal control thresholds.
Circular Transactions and Unusual Transaction Flows
Identify signals of transaction structures that appear normal on the surface but may lack clear business substance.
Procurement and Payment Process Anomalies
Review risk signals in the procure-to-pay cycle, including unusual ordering patterns, vendor concentration, override approvals, and rushed processing.
Employee–Vendor Relationship Risks
Detect unusual links between employees and vendors, including shared attributes, suspicious overlaps, and master data anomalies.
Expense and Settlement Anomalies
Identify unusual patterns in expenses, reimbursements, claims, and settlement activities.
Key Risk Areas
GRAM Radar goes beyond single anomaly detection. It analyzes transaction-level patterns and related signals across nearly 200 risk scenarios covering AP, AR, procurement, expenses, payments, master data, and access-related areas.
Duplicate Payments
Checks for potential repeated payments by combining signals such as similar amounts, vendors, dates, and invoice information — not just exact duplicates.
Split Payments
Detect payment patterns that may indicate attempts to avoid approval limits or internal control thresholds.
Circular Transactions and Unusual Transaction Flows
Identify signals of transaction structures that appear normal on the surface but may lack clear business substance.
Procurement and Payment Process Anomalies
Review risk signals in the procure-to-pay cycle, including unusual ordering patterns, vendor concentration, override approvals, and rushed processing.
Employee–Vendor Relationship Risks
Detect unusual links between employees and vendors, including shared attributes, suspicious overlaps, and master data anomalies.
Expense and Settlement Anomalies
Identify unusual patterns in expenses, reimbursements, claims, and settlement activities.
Key Risk Areas
GRAM Radar goes beyond single anomaly detection. It analyzes transaction-level patterns and related signals across nearly 200 risk scenarios covering AP, AR, procurement, expenses, payments, master data, and access-related areas.
Duplicate Payments
Checks for potential repeated payments by combining signals such as similar amounts, vendors, dates, and invoice information — not just exact duplicates.
Split Payments
Detect payment patterns that may indicate attempts to avoid approval limits or internal control thresholds.
Circular Transactions and Unusual Transaction Flows
Identify signals of transaction structures that appear normal on the surface but may lack clear business substance.
Procurement and Payment Process Anomalies
Review risk signals in the procure-to-pay cycle, including unusual ordering patterns, vendor concentration, override approvals, and rushed processing.
Employee–Vendor Relationship Risks
Detect unusual links between employees and vendors, including shared attributes, suspicious overlaps, and master data anomalies.
Expense and Settlement Anomalies
Identify unusual patterns in expenses, reimbursements, claims, and settlement activities.
How risk signals become visible
From raw data to actionable insights
Network Analysis
Reveals hidden relationships and transaction structures not visible in standard reports.
Key Risk Entities
Highlights vendors, employees, or customers that may require prioritised review.
Risk Overview
A consolidated view of where risk signals concentrate across transactions and entities.
Each view reveals a different layer of risk — from overall patterns to specific entities and hidden relationships.
How risk signals become visible
From raw data to actionable insights
Risk Overview
A consolidated view of where risk signals concentrate across transactions and entities.
Key Risk Entities
Highlights vendors, employees, or customers that may require prioritised review.
Network Analysis
Reveals hidden relationships and transaction structures not visible in standard reports.
Each view reveals a different layer of risk — from overall patterns to specific entities and hidden relationships.
How risk signals become visible
From raw data to actionable insights
Risk Overview
A consolidated view of where risk signals concentrate across transactions and entities.
Key Risk Entities
Highlights vendors, employees, or customers that may require prioritised review.
Network Analysis
Reveals hidden relationships and transaction structures not visible in standard reports.
Each view reveals a different layer of risk — from overall patterns to specific entities and hidden relationships.
Who It's For
Designed for organizations that need a faster, more structured view of key risk signals for finance, audit, and decision-making.
Who It's For
Designed for organizations that need a faster, more structured view of key risk signals for finance, audit, and decision-making.
CFOs and Finance Leaders
For organizations seeking an early view of unusual signs in financial data and areas of potential exposure.
Internal Audit Teams
For audit functions that need to prioritize limited resources and focus on higher-risk areas more effectively.
Audit Committees and Management
For leadership teams that need clearer, more structured reporting on key financial and control risks.
CPA and Advisory Firms
For firms seeking to provide clients with additional data-driven insights beyond traditional accounting, tax, and compliance services.
Mid-Sized and Growing Companies
For organizations that want to identify priority risk areas before their control framework becomes more mature.
PE Firms and Investors
For pre-deal or post-investment reviews where portfolio risk signals need to be assessed quickly and consistently.
감사위원회 및 경영진
주요 리스크에 대해 보다 구조화된 보고와 대응 근거가 필요한 경우
내부감사 조직
제한된 인력으로도 데이터 기반 우선순위 점검을 수행하고자 하는 경우
CFO 및 재무책임자
재무 데이터에 숨은 이상징후와 비용 누수 가능성을 선제적으로 파악하고자 하는 경우
중견기업 및 성장기업
내부통제 체계를 고도화하기 전 핵심 위험 영역을 우선 진단하고자 하는 경우
PE 및 투자자
투자 전 실사나 투자 후 포트폴리오 리스크 점검이 필요한 경우
Who It's For
Designed for organizations that need a faster, more structured view of key risk signals for finance, audit, and decision-making.
Who It's For
Designed for organizations that need a faster, more structured view of key risk signals for finance, audit, and decision-making.
CFOs and Finance Leaders
For organizations seeking an early view of unusual signs in financial data and areas of potential exposure.
Internal Audit Teams
For audit functions that need to prioritize limited resources and focus on higher-risk areas more effectively.
Audit Committees and Management
For leadership teams that need clearer, more structured reporting on key financial and control risks.
PE Firms and Investors
For pre-deal or post-investment reviews where portfolio risk signals need to be assessed quickly and consistently.
Mid-Sized and Growing Companies
For organizations that want to identify priority risk areas before their control framework becomes more mature.
CPA and Advisory Firms
For firms seeking to provide clients with additional data-driven insights beyond traditional accounting, tax, and compliance services.
감사위원회 및 경영진
주요 리스크에 대해 보다 구조화된 보고와 대응 근거가 필요한 경우
내부감사 조직
제한된 인력으로도 데이터 기반 우선순위 점검을 수행하고자 하는 경우
CFO 및 재무책임자
재무 데이터에 숨은 이상징후와 비용 누수 가능성을 선제적으로 파악하고자 하는 경우
중견기업 및 성장기업
내부통제 체계를 고도화하기 전 핵심 위험 영역을 우선 진단하고자 하는 경우
PE 및 투자자
투자 전 실사나 투자 후 포트폴리오 리스크 점검이 필요한 경우
Who It's For
Designed for organizations that need a faster, more structured view of key risk signals for finance, audit, and decision-making.
Who It's For
Designed for organizations that need a faster, more structured view of key risk signals for finance, audit, and decision-making.
CFOs and Finance Leaders
For organizations seeking an early view of unusual signs in financial data and areas of potential exposure.
Internal Audit Teams
For audit functions that need to prioritize limited resources and focus on higher-risk areas more effectively.
Audit Committees and Management
For leadership teams that need clearer, more structured reporting on key financial and control risks.
Mid-Sized and Growing Companies
For organizations that want to identify priority risk areas before their control framework becomes more mature.
PE Firms and Investors
For pre-deal or post-investment reviews where portfolio risk signals need to be assessed quickly and consistently.
CPA and Advisory Firms
For firms seeking to provide clients with additional data-driven insights beyond traditional accounting, tax, and compliance services.
감사위원회 및 경영진
주요 리스크에 대해 보다 구조화된 보고와 대응 근거가 필요한 경우
내부감사 조직
제한된 인력으로도 데이터 기반 우선순위 점검을 수행하고자 하는 경우
CFO 및 재무책임자
재무 데이터에 숨은 이상징후와 비용 누수 가능성을 선제적으로 파악하고자 하는 경우
중견기업 및 성장기업
내부통제 체계를 고도화하기 전 핵심 위험 영역을 우선 진단하고자 하는 경우
PE 및 투자자
투자 전 실사나 투자 후 포트폴리오 리스크 점검이 필요한 경우
How It Works
From data collection to analysis and reporting, the process is designed to be clear and consistent.
Data Collection and Structure Review
Step 1
Data Integrity and
Quality Check
Step 2
Core Risk Analysis
Step 3
Interpretation and
Prioritization
Step 4
Reporting and
Next-Step Discussion
Step 5
From data collection to analysis and reporting,
the process is designed to be clear and consistent.
How It Works
Data Collection and
Structure Review
Step 1
Data Integrity and
Quality Check
Step 2
Core Risk Analysis
Step 3
Interpretation and
Prioritization
Step 4
Reporting and
Next-Step Discussion
Step 5
From data collection to analysis and reporting, the process is designed to be clear and consistent.
How It Works
Data Collection and
Structure Review
Step 1
Data Integrity and
Quality Check
Step 2
Core Risk Analysis
Step 3
Interpretation and
Prioritization
Step 4
Reporting and
Next-Step Discussion
Step 5
What You Receive
Executive Summary
A concise summary of key observations, implications, and priority areas for management.
Detailed Findings
A structured view of major findings, supporting signals, and areas for follow-up review.
High-risk Ranking
A prioritized list of higher-risk entities, transactions, or themes requiring closer attention.
Remediation Roadmap
Practical suggestions for control improvement, further review, and next-step actions.
What You Receive
Executive Summary
A concise summary of key observations, implications, and priority areas for management.
Detailed Findings
A structured view of major findings, supporting signals, and areas for follow-up review.
High-risk Ranking
A prioritized list of higher-risk entities, transactions, or themes requiring closer attention.
Remediation Roadmap
Practical suggestions for control improvement, further review, and next-step actions.
What You Receive
Executive Summary
A concise summary of key observations, implications, and priority areas for management.
Detailed Findings
A structured view of major findings, supporting signals, and areas for follow-up review.
High-risk Ranking
A prioritized list of higher-risk entities, transactions, or themes requiring closer attention.
Remediation Roadmap
Practical suggestions for control improvement, further review, and next-step actions.
