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Automating Cost Validation for the
Korea Armed Forces Financial Management Corps

Automating Cost Validation for the Korea Armed Forces Financial Management Corps

Enhans connects documents, cost data, and validation criteria into a structured workflow.
The system formalizes review logic, presents validation results with rationale, and keeps final decisions in the hands of domain experts through a Human-in-the-Loop operating model.
Enhans analyzed the construction cost review process of the Korea Armed Forces Financial Management Corps and structured practitioner judgment into 127 units of executable business knowledge.
XML files, Excel cost sheets, design documents, price references, and cost criteria are normalized into a reviewable data structure. Enhans then converts cost review logic into an automated validation workflow, helping reduce review time, standardize validation quality, and support full-scope review coverage.

Cost Review Requires Structured Judgment, Not Just Document Comparison

Defense construction cost review is a high-precision administrative process that requires multiple documents, data formats, and regulatory criteria to be reviewed together.
Practitioners need to validate cost consistency across XML data, general cost calculation sheets, design documents, quotations, price references, and legal criteria. They also need to assess construction waste quantities, standard market price applicability, and separate procurement requirements for directly purchased items.
The core bottleneck lies in fragmented review context. Cost data, review criteria, and judgment logic are distributed across documents, systems, and practitioner experience. This makes review quality dependent on individual expertise and limits the ability to conduct consistent, full-scope validation.
Fragmented Cost Data
XML files, Excel sheets, design documents, and price references need to be connected into one review context.
Complex Validation Criteria
Review teams must apply cost amount, quantity, unit price, legal, and procurement separation criteria together.
Practitioner Dependency
Review logic and exception handling often remain embedded in individual expertise, making standardization difficult.
Limited Review Coverage
Manual review processes make it difficult to apply the same level of validation across all items.
Administrative Risk
Errors, omissions, or overcalculations can create budget leakage, audit exposure, and public sector accountability risk.

Connecting Documents, Data, and Judgment Criteria into One Validation Workflow

Enhans designs the cost review process as an operating system that connects data normalization, business knowledge structuring, validation logic, rationale generation, and human approval.
First, Enhans extracts practitioner judgment criteria and structures them into executable business knowledge. Then, different document formats and data sources are normalized through a pipeline, connected to cost review logic through ontology, and applied through automated validation workflows.
Traditional ETL
Role
Meaning for Cost Review
Pipeline
Normalizes XML, Excel, design documents, and price reference data
Converts fragmented documents and data into a reviewable structure
Ontology
Defines business objects and relationships such as project, cost item, unit price, quantity, and legal criteria
Structures cost review criteria into AI-readable operational context
Validation Logic
Applies validation rules based on 127 units of business knowledge
Automatically validates cost amount, quantity, unit price, and procurement separation criteria
Human-in-the-Loop
Enables practitioners to review error candidates, rationale, and validation results
Maintains control, responsibility, and accountability for Korean defense finance operations
Action Trail
Captures validation results and decision history
Strengthens explainability and supports audit readiness

Converting Five Core Cost Review Tasks Into an Automated Validation System

The project focused on the design analysis and price research stages of the broader cost review process.
Enhans converted five core review tasks into automated validation workflows: XML and general cost calculation consistency checks, construction waste quantity and separation review, standard market price applicability review, directly purchased item separation review, and quotation and regional unit price comparison table generation.
Review Task
Automated Validation Scope
Validation Rules / Completion Rate
XML and General Cost Calculation Consistency Check
Validates cost item amount consistency between XML data and general cost calculation sheets
52 rules / 93.3%
Construction Waste Quantity and Separation Review
Reviews waste disposal and transportation quantity consistency and separation criteria
16 rules / 100%
Standard Market Price Applicability Review
Checks whether standard market price criteria are properly applied based on estimated project cost
11 rules / 95%
Directly Purchased Item Separation Review
Verifies whether eligible directly purchased items are separately procured
15 rules / 100%
Quotation and Regional Unit Price Comparison Table
Supports comparison of quotations, price references, and transaction prices to identify appropriate unit prices
33 rules / 80%

From Manual Review
to Full-Scope Automated Validation

In the previous process, practitioners had to review documents, data, and legal criteria separately, then determine whether cost review standards were properly applied.
Enhans transformed this process into an automated validation workflow based on structured business knowledge. The system standardizes review criteria, identifies potential errors in advance, and presents validation rationale for practitioner review.
Before
After
Documents, data, and criteria reviewed separately by practitioners
Integrated review through an automated validation workflow
Cost criteria applied through manual judgment
Automated validation based on 127 units of business knowledge
Error detection depended on manual inspection
Rule-based identification of potential errors
Limited review coverage
Full-scope review potential
Heavy reliance on individual practitioner experience
Standardized validation criteria
Review rationale distributed across documents and people
Validation results presented with rationale
Errors often discovered after review
Earlier risk detection and validation control

AI Presents Validation Rationale Practitioners Make the Final Decision

For Korean defense finance operations, the key requirement is controlled automation.
Enhans automatically reviews documents and data, identifies potential issues, and presents rationale behind each validation result. Final judgment and operational responsibility remain with human practitioners.
Validation Results
The system reviews cost amounts, quantities, unit prices, and criteria application, then organizes the results for review.
Rationale Generation
Each validation result includes the criteria and logic used to reach the finding.
Human Expert Confirmation
Practitioners review AI-supported results and make the final decision.
Review History Capture
Validation criteria, error candidates, and decisions are captured to strengthen explainability.
Controlled Automation
The workflow preserves the control and accountability required for public sector and defense finance operations.

Reducing Cost Review Time
While Standardizing Validation Quality

Automated validation reduces repetitive review work while improving consistency, explainability, and review coverage.
The workflow supports cost review time reduction, full-scope validation potential, standardized review quality, lower practitioner workload, and reduced administrative risk.
Reduced Review Time
Repetitive document comparison and item-level checking are converted into automated validation steps.
Full-Scope Review Potential
Review teams can move beyond sample-based review toward broader validation coverage.
Standardized Validation Quality
Criteria that once depended on practitioner expertise are formalized into structured business rules.
Transparent Rationale
Validation results are presented with supporting criteria, helping practitioners review and explain outcomes.
Lower Administrative Risk
Potential errors, omissions, and overcalculations can be identified earlier in the review process.

Extending from Cost Review
to Broader Korean Defense Finance Operations

This use case starts with construction cost review automation.
The same business knowledge structuring approach can extend to procurement, military payroll, budget execution, contract review, and other Korean defense finance workflows that require document validation, criteria application, and controlled decision support.
Expansion Area
Potential Use Cases
Construction Cost Review
Automated validation of XML, Excel, design documents, and unit price criteria
Defense Procurement
Review of procurement criteria, purchasing conditions, and contract documents
Military Payroll
Validation of payroll rules, payment items, and exception records
Budget Execution
Review of budget usage criteria, execution records, and supporting evidence
Contract Review
Validation of contract terms, cost conditions, and risk items
Defense-Specific Ontology
Structuring defense finance business objects, regulations, and judgment criteria