BPO Business Analysis
BPO Business Analysis
In large corporate groups, back-office operations in accounting, legal, and IT departments span multiple subsidiaries, generating massive volumes of routine and semi-routine tasks. KDG takes a 'knowledge structuring' approach — rather than simple RPA-style automation, it accumulates veteran staff's decision criteria, company-specific patterns, and historical resolution knowledge in KBMS, combining them with LLM reasoning to achieve knowledge-driven BPO automation.
Feature 01
KDG ICR — Intercompany Reconciliation
Automatically reconciles intercompany transactions across multiple group companies. Three-layer knowledge (transaction rules, company-specific quirks, resolution knowledge) combined with LLM reasoning delivers an end-to-end workflow from CSV import → matching → elimination entries → audit reports. Discrepancies can be investigated interactively via chat.
- 13-layer knowledge model: transaction condition rules, company-specific quirks (rounding methods, cutoff date shifts), and historical discrepancy resolution knowledge structured in KBMS
- 2LLM-powered advanced matching — learns patterns like 'this subsidiary always produces this type of discrepancy' even when amounts don't match exactly
- 3End-to-end workflow: CSV import → auto-reconciliation → elimination entry generation → audit report output
Feature 02
KDG EXP — Expense Processing
AI automatically checks employee expense reports and receipts. From ZIP batch upload → OCR → policy compliance check → dialogue → approval, AI processes expenses in place of accounting staff. Internal policies, tax regulations, and past review findings are accumulated as knowledge for continuously improving check accuracy.
- 1Receipt OCR and automatic expense report reconciliation — multi-dimensional verification of dates, amounts, and purposes
- 2Internal travel and entertainment policies, tax requirements structured in KBMS for automatic policy violation detection
- 3Learning from past rejection reasons and correction patterns to auto-generate specific revision instructions for applicants
Feature 03
KDG SCC — SaaS Usage Review
AI supports security checklist reviews for SaaS usage applications. From application receipt through checklist evaluation, risk assessment, to approval/conditional approval, it streamlines IT department review operations.
- 1Automatic evaluation of security checklists (data storage location, encryption, authentication methods, SLAs, etc.)
- 2Search KBMS for past review cases and similar SaaS evaluation results to ensure decision consistency
- 3Risk score-based recommendations for approval, conditional approval, or rejection with auto-generated rationale
Feature 04
KDG CCK — Contract Review
AI comprehensively reviews contracts with business partners. Multi-dimensional evaluation of credit information, incident history, current events, regulatory requirements, market conditions, and supply chain risks supports legal department contract reviews.
- 1Automatic contract clause analysis and gap detection against company standard clauses, industry practices, and legal requirements
- 2Auto-collection of partner credit information, incident history, and current news from external data sources for comprehensive risk assessment
- 3Accumulation of past contract review correction request patterns in KBMS for auto-generating similar clause recommendations
Ready to Transform Back-Office Operations Through Knowledge Structuring?
BPO business analysis starts with a knowledge inventory of target operations. By structuring veteran staff's decision criteria, company-specific operational rules, and historical resolution cases, we achieve not mere automation but 'AI that can make judgments.' Reach out to start the conversation.