02
Executive Summary
Financial examination today means processing transaction data from many institutions in many formats, under tight deadlines. Spreadsheet work and manual matching let critical connections slip through — and none of the effort can be reused.
We propose a platform that unifies data ingestion, entity resolution, network analysis, and case management in one system — designed to run entirely within your agency’s infrastructure, with a complete audit trail behind every step to support legal proceedings.
03
The Challenges
Problems financial examination teams share across agencies
- 01
Siloed data
Transaction data arrives from each institution in a different format and is never unified into one structure.
- 02
Manual trail tracing
Assembling one money trail takes weeks and depends on individual expertise.
- 03
Volume beyond headcount
Transactions and items requiring review grow faster than staffing ever can.
- 04
Auditability
Without a central system, demonstrating how a conclusion was reached in court becomes difficult.
04
Our Proposed Approach
One platform from intake to reporting: transaction data is ingested and standardized automatically, the system resolves the same people and companies across sources under reviewable rules, and every relationship is assembled into a graph examiners can explore and drill into.
Each case gets its own workspace — evidence, findings, and reports where every point traces back to source data — all governed by access control and complete activity logging.
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System Modules
Six core modules working together on one database
Data Ingestion
Accepts transaction files in many formats, maps them to a common structure, and checks quality automatically.
Entity Resolution
Merges the same people and companies across sources, with tunable and reviewable rules.
Link Analysis
An interactive relationship graph for finding connecting paths and key intermediaries.
Money Trail
Assembles fund flows across accounts and institutions, filterable by period and amount.
Case Management
A per-case workspace for evidence, findings, and team assignments.
Reporting
Generates summaries where every figure and connection references its source data.
06
Key Capabilities
Designed around how examiners actually work
A truly explorable graph
Expand the network layer by layer from any person or account — no query language needed.
Configurable screening rules
Your agency defines its own risk conditions and adjusts them as patterns change.
Search across everything
Names, account numbers, and keywords are found in structured data and attached documents alike.
Team collaboration per case
Assign, track, and see case progress together in real time.
Complete audit trail
Every search and edit is recorded, with provenance behind every conclusion.
Closed-network deployment
The entire system runs on your agency’s infrastructure without external services.
07
System Architecture
Four layers, from data sources to the user’s screen
Data Sources
Bank statementsCompany registriesWatchlistsProcessing
ETLOCREntity resolutionIntelligence
Graph engineRule engineRisk scoringDelivery
Investigator workspaceDashboardsAPI
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Implementation Plan
Four phases, each delivering something usable
Discovery & Design
4-6 weeksUnderstand real workflows, data sources, and security requirements, and design the system together.
Core Development
8-12 weeksBuild ingestion, entity resolution, and the analysis graph, testing against sample data throughout.
Integration & Testing
4-8 weeksConnect live data sources, test with real users, and tune screening rules from actual use.
Deployment & Handover
2-4 weeksInstall on your infrastructure, train users, and hand over complete documentation.
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Technology Stack
Open standards proven in enterprise work
Application
- Next.js
- React
- TypeScript
Data & Intelligence
- Go
- PostgreSQL
- Neo4j
- OCR Pipelines
Infrastructure
- Docker
- MinIO
- On-premise / Cloud
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Expected Benefits
What changes once the system is in real use
- 01
The whole network in one place
Data from every institution merges into one picture, revealing connections that were invisible before.
- 02
Less manual data matching
Ingestion and identity matching run automatically — staff spend their time on analysis, not preparation.
- 03
Conclusions with provenance
Every report traces to source data, with an audit trail ready for legal proceedings.
- 04
Knowledge that stays
Data and findings accumulate in the central system instead of leaving with rotating staff.
Ready to discuss the details
Book a session for a system demonstration and a conversation about the approach that fits your agency.