Secure Connection Management Hub
- Centralised SFTP and email server connection setup.
- Enabled secure configuration of incoming data channels.
- Reduced scattered connection handling across teams.
- Improved control over sensitive data intake.
SWIFT Data Orchestration & Automation
A secure data orchestration platform built to automate ingestion, validation, SWIFT-format standardisation, and audit-ready processing.
- Client
- A financial technology provider delivering AML compliance solutions for banks and regulated financial institutions
- Industry
- FinTechRegTechInsurTechSaaS & Technology
- Platform type
- SWIFT Data Orchestration Platform, Compliance Data Automation System
Overview
What this engagement was.
A financial technology provider needed to replace manual spreadsheet-based handling of sensitive insurance records with a structured automation platform. The organisation received data through multiple SFTP connections and email attachments, but the process depended heavily on Excel, manual validation, and repeated formatting corrections. DigiWagon built a centralised data orchestration platform. It automates file intake, source mapping, and task creation. It supports analyst workflows and SWIFT-format validation. It also handles record storage, dashboards, and audit logging.
The result was a scalable automation system. It improved data accuracy and reduced operational risk. It also helped the organisation manage growing record volumes, which it did with stronger compliance control.
Why it mattered
Why SWIFT Data Handling Needed Structured Automation
The organisation was managing sensitive insurance records through manual spreadsheet processes. Data arrived from multiple email and SFTP channels, but every file required manual tracking, validation, correction, formatting, and ownership assignment. As record volumes increased, the spreadsheet-led process created operational risk, version control issues, compliance gaps, and limited traceability. The client needed a secure system. It would automate data ingestion and standardise the data. It would assign work and validate SWIFT formatting. It would also keep a complete audit history.
Business Challenge
- Data was received through multiple SFTP connections and email attachments.
- Critical records were tracked and manipulated in Excel.
- Incoming files had different structures and formats.
- Manual corrections were required to meet SWIFT compliance requirements.
- Spreadsheet dependency created version control issues and human error risk.
- Analyst ownership and task accountability were difficult to track.
- Manual handling increased the risk of data loss, incorrect transformation, and compliance breaches.
- The workflow could not scale efficiently with growing record volumes.
RegTech & Data Context
In regulated financial environments, data orchestration is not only about moving files. It focuses on ensuring that teams standardise, validate, and trace every record, and prepare it for downstream compliance workflows.
For SWIFT-related data processing, manual spreadsheet handling can introduce avoidable risk. A governed orchestration layer helps teams automate intake, reduce errors, standardise formats, assign ownership, and keep every action audit-ready.
User Problem
- Data analysts needed a clearer way to receive, validate, correct, and process records.
- Operations teams needed centralised visibility across incoming files and active jobs.
- Compliance teams needed assurance that records met SWIFT format requirements.
- Administrators needed secure control over connection settings, workflows, and assignments.
- Audit teams needed timestamped logs for approvals, modifications, and analyst actions.
- Leadership needed visibility into system health, processing status, and analyst productivity.
How we delivered
How We Built the SWIFT Data Orchestration Platform
Ingest
Centralised data intake from secure channels
- SFTP connections
- Email attachments
- Multi-source file intake
- Secure connection setup
- Automated file receipt tracking
Route
Mapped every source to the right workflow
- Source mapping
- Folder-based routing
- Mailbox-based routing
- Workflow assignment logic
- Processing rules
Validate
Standardised records for SWIFT compliance
- Format validation
- Data structure checks
- In-system correction
- SWIFT-format alignment
- Error handling
Govern
Created accountability and audit control
- Task assignment
- Analyst ownership
- Approval tracking
- Change history
- Audit logs
What we built
The platform we shipped.
DigiWagon built a centralised SWIFT data platform for orchestration and automation. It replaces spreadsheet dependence with secure ingestion and workflow automation. It also adds structured validation, task-based processing, and audit-ready traceability. The platform monitors incoming files and routes records using source rules. It creates tasks automatically and supports analyst review. It validates SWIFT formats and stores records in a central system, and also logs every action for compliance visibility.
- Built a secure connection management hub for SFTP and email server configurations.
- Created a source mapping layer to connect folders, mailboxes, and channels with defined workflows.
- Implemented automated job triggering when new files were received.
- Replaced manual spreadsheet tracking with system-generated tasks.
- Designed task-based analyst workflows to support clear ownership.
- Built SWIFT-format validation and standardisation logic.
- Enabled in-system correction for records that required formatting changes.
- Created a centralised record repository to replace Excel-based storage.
- Added version consistency and structured record management.
- Delivered comprehensive audit logging for approvals, modifications, and analyst actions.
- Built operational dashboards for system health, active jobs, and analyst productivity.
- Created a scalable foundation to process increasing insurance record volumes without workflow disruption.
The filmWatch how it works.
Key features
Eight capabilities, one per constraint.
Source Mapping & Data Routing
- Linked folders, mailboxes, and external channels to defined processing workflows.
- Routed files based on source and workflow rules.
- Reduced manual sorting and tracking effort.
- Created better visibility across incoming record streams.
Automated Job Triggering Engine
- Generated tasks automatically when new files were received.
- Eliminated manual file tracking and spreadsheet dependency.
- Reduced delays between file receipt and processing.
- Improved operational consistency across data workflows.
Task-Based Analyst Workflow
- Assigned records to analysts through structured tasks.
- Prevented duplicate processing and unclear ownership.
- Improved accountability across record validation and approval.
- Helped teams manage workload more transparently.
SWIFT Format Validation & Standardisation
- Embedded validation logic to check structure alignment.
- Supported in-system correction before database entry.
- Ensured records met SWIFT format requirements.
- Reduced human error in formatting and transformation.
Centralised Record Repository
- Replaced Excel-based handling with a controlled data store.
- Improved version consistency and record management.
- Reduced risk of file duplication, loss, or outdated spreadsheets.
- Created a stronger foundation for future reporting and compliance workflows.
Comprehensive Audit Logging
- Logged approvals, modifications, analyst actions, timestamps, and change history.
- Supported internal reviews and regulatory oversight.
- Improved traceability across every processing step.
- Strengthened audit readiness.
Operational Dashboard & Performance Monitoring
- Delivered centralised visibility into system health and active jobs.
- Helped monitor analyst productivity and processing status.
- Supported faster operational decision-making.
- Improved leadership visibility across data automation workflows.
Technology
The stack behind this build.
Frontend
- ReactJS
Backend
- Node.js
Data
- PostgreSQL
Cloud & DevOps
- AWS
- DevOps & Deployment
AI & ML
- AI / ML
Impact
What changed for the client.
The platform helped the organisation move from high-risk spreadsheet handling to a secure, automated, and audit-ready SWIFT data orchestration workflow.
centralised SWIFT data orchestration platform created for secure data processing.
reduction in manual spreadsheet effort through automated ingestion and task workflows.
faster data validation through SWIFT-format checks and in-system correction.
better data accuracy and audit transparency through validation, standardisation, and audit logs.
In closing
Where this leaves the product.
The SWIFT Data Orchestration & Automation platform gives the organisation a secure, structured, and scalable way to manage sensitive insurance records. By replacing spreadsheet work with automation, DigiWagon reduced risk. It improved compliance readiness. The automation included automated ingestion, source mapping, task workflows, SWIFT validation, central storage, dashboards, and audit logs. The result is a governed data automation platform built for accuracy, accountability, traceability, and long-term processing scale.
More work
More Data & Analytics work.
FinTechTransaction Intelligence & Behavioral Analytics
A scalable and configurable transaction monitoring solution engineered to detect suspicious activity in real time using rule engines, behavioral profiling, and hybrid risk logic, enabling financial institutions to strengthen AML compliance while optimizing operational efficiency.
45%Faster suspicious activity detection35%Improvement in monitoring workflow efficiency
FinTechWatchlist Governance & Compliance Intelligence Solution
Unified data governance and watchlist orchestration solution that consolidates, cleanses, and enriches regulatory, commercial, and internal lists, empowering compliance teams with real-time updates, audit-ready transparency, and exceptionally accurate screening data for enterprise AML operations.
50%Faster watchlist updates40%Reduction in duplicate or inconsistent list data
FinTechDigitizing Trust: Paperless Fixed Deposit Onboarding for a Leading Small Finance Bank
A leading Small Finance Bank launched a 100% digital FD platform with compliance, security, and fraud prevention at its core. The solution cut onboarding to 15 minutes, boosted trust, and reduced support costs.
98%Identity verification accuracy30%Improvement in customer satisfaction
Replace Manual Data Handling With Governed Automation
DigiWagon helps FinTech and RegTech businesses design and develop secure data orchestration platforms with automated ingestion, validation workflows, audit trails, dashboards, and compliance-ready architecture.