3 Ways to Connect Your ERP to Close Software: SFTP, Webhook, and CSV

Getting data from your ERP into your close and consolidation platform is the first step of every close cycle, and it is often the most fragile. A missed file, a changed column, or a failed upload can delay the entire process by hours or days.

There are three primary methods for moving trial balance and transaction data from an ERP to close software: SFTP file transfer, webhook/API push, and manual CSV upload. Each has different trade-offs in reliability, security, implementation effort, and ongoing maintenance. This guide helps you choose the right one.

Method 1: SFTP file transfer

How it works. Your ERP (or a scheduled job) exports a file, typically CSV, XML, or fixed-width,, to a secure FTP server. The close platform monitors the SFTP directory, picks up new files on a schedule or trigger, validates the format, and loads the data.

When to use it. SFTP is the workhorse of enterprise data integration. It works with virtually every ERP, including older on-premise systems that lack modern API capabilities. If your ERP can generate a file on a schedule, it can integrate via SFTP.

Advantages:

• Works with any ERP that can export files, including legacy systems
• Well-understood security model (SSH encryption, key-based authentication)
• Files provide a clear audit trail every import has a corresponding source file
• Batch processing handles large data volumes efficiently

Disadvantages:

• Not real-time files are generated on a schedule (hourly, daily, or at close)
• File format changes require manual mapping updates
• Failed transfers may go unnoticed without monitoring
• SFTP server maintenance adds infrastructure overhead

Implementation effort: 1-2 weeks for initial setup. Ongoing maintenance is low if the file format remains stable.

Arvexi's SFTP integration supports automated file pickup, format validation, and error alerting, so a failed or malformed file triggers a notification rather than silently failing.

Method 2: Webhook / API push

How it works. Your ERP sends data directly to the close platform via an API call, either on a schedule or triggered by an event (like period close). The close platform receives the data, validates it, and loads it in near real-time.

When to use it. Webhooks work best with modern cloud ERPs that have native API capabilities: NetSuite, SAP S/4HANA Cloud, Sage Intacct, Microsoft Dynamics 365. If your ERP supports outbound API calls or has a middleware layer (Workato, MuleSoft, Boomi), this is the most reliable option.

Advantages:

• Near real-time data availability no waiting for scheduled file exports
• Event-driven data pushes when the source system is ready, not on an arbitrary schedule
• No intermediate file to manage data flows directly from source to target
• Built-in error handling with HTTP status codes and retry logic

Disadvantages:

• Requires API capability in the source ERP not available in older systems
• More complex initial setup (authentication, endpoint configuration, error handling)
• API rate limits can constrain large-volume loads
• Changes to the ERP's API (version upgrades) can break the integration

Implementation effort: 2-4 weeks including authentication setup, endpoint configuration, and testing. Requires technical involvement from both the ERP and close platform teams.

Arvexi's webhook API accepts data pushes in standard formats and provides acknowledgment, retry, and error notification out of the box.

Method 3: CSV upload

How it works. A user exports a file from the ERP manually, then uploads it to the close platform through a web interface. The platform parses the file, maps columns to the target schema, and loads the data.

When to use it. CSV upload is the right choice for initial implementations, ad hoc data loads, one-time migrations, or small entities where the volume does not justify automated integration. It is also the fallback when automated methods fail. Every close team needs the ability to load data manually in an emergency.

Advantages:

• Zero infrastructure no SFTP server, no API configuration
• Works immediately no implementation timeline
• User-controlled the finance team can load data without IT involvement
• Flexible handles any file format the platform can parse

Disadvantages:

• Manual process introduces human error (wrong file, wrong period, wrong entity)
• Does not scale uploading files for 20 entities every close is tedious and error-prone
• No automation someone must remember to export and upload every period
• Version control is manual overwriting a previous upload with the wrong file is easy

Implementation effort: Minutes. This is the starting point for most implementations before automated methods are configured.

How AI column mapping works

Regardless of which method you use, the data must be mapped from the source format to the close platform's target schema. This is where traditional data integration gets expensive: building and maintaining mapping rules for every source system, every entity, and every file format variation.

AI column mapping takes a different approach. When a new file arrives, whether via SFTP, webhook, or manual upload,. The system analyzes the column headers, data types, and value patterns to automatically suggest a mapping. "Account Number" maps to the account field. "Debit Amount" and "Credit Amount" map to the amount fields. "Company Code" maps to the entity identifier.

Arvexi's import wizard uses AI mapping with a learning loop:

1. First import: AI suggests mappings based on column names and data patterns. The user confirms or corrects.
2. Second import: The system remembers the confirmed mappings and applies them automatically. The user reviews and approves.
3. Subsequent imports: If the file structure matches a known pattern (same column headers, same data types), the import processes automatically with no user interaction.

This is what "minutes not months" means in practice. Instead of configuring mapping rules in a tool like Oracle FDMEE, which can take weeks per source system,. You upload a file and the system figures it out.

File fingerprinting

File fingerprinting adds another layer of intelligence. The system identifies files not just by name but by structural signature. The combination of column headers, data types, row patterns, and entity identifiers. This means:

• A file named "TB_March_2026.csv" and "TrialBalance_Q1.csv" with the same structure are recognized as the same file type.
• A file from the same source with an added or removed column is flagged as a structural change, not silently misloaded.
• Duplicate uploads are detected and prevented.

Choosing the right method

For most organizations, the answer is a combination:

• SFTP for high-volume, recurring data loads from on-premise ERPs
• Webhook/API for cloud ERPs with native API support
• CSV upload as a fallback and for ad hoc or one-time loads

The data integration platform from Arvexi supports all three methods with a unified mapping layer: so regardless of how data arrives, it goes through the same validation, transformation, and loading process. You do not need to choose one method exclusively. Many organizations use API integration for their primary ERP and CSV upload for smaller entities or non-ERP data sources.