Automate the flow of financial data between your cloud storage and ERP system. Stop manually uploading bank files, exporting GL reports to S3, or writing custom scripts to sync transaction data between systems.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Watch S3 buckets for new bank statement files in MT940, BAI2, or CSV formats. Redbird validates file structure, maps transactions to cash accounts, and loads them into Oracle Financials for automatic reconciliation. No more manual file downloads and uploads through the Oracle UI.
Pull trial balance, account balances, or detailed GL transactions from Oracle Financials on schedule. Redbird formats the data as Parquet or CSV, partitions by accounting period, and writes to S3 paths your data warehouse expects. Keeps your financial reporting layer synchronized without custom integrations.
Monitor S3 folders where invoice PDFs and data files land from OCR pipelines or vendor portals. Redbird extracts invoice metadata, matches to purchase orders, validates GL coding, and creates AP invoices in Oracle ready for approval. Eliminates manual invoice entry from finance teams.
After each monthly or quarterly close in Oracle Financials, automatically export close checklists, journal entry reports, variance analyses, and supporting documentation. Redbird organizes files by entity, period, and document type in S3 with proper retention policies for audit compliance.
Process intercompany billing and settlement files stored in S3 by subsidiaries or external systems. Redbird validates balancing entries, maps entities to Oracle legal structure, and posts intercompany journals with proper elimination flags. Streamlines multi-entity consolidation workflows.
Pull AR aging details, customer balances, and payment history from Oracle Financials and write structured datasets to S3. Makes financial data available to data science teams building credit risk models or collections prioritization algorithms without direct ERP access.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 and Oracle Financials with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands both S3 object structures and Oracle Financials data models—mapping between cloud storage formats and ERP schemas without custom code.
Redbird natively understands Oracle Financials schemas—chart of accounts hierarchies, ledger structures, subledger sources, and accounting calendar periods. It parses common financial file formats in S3 like bank statements, invoice exports, and GL extracts, then intelligently maps fields to Oracle entities, accounts, and transaction attributes. The AI handles data type conversions, validates required fields, and applies transformation logic specific to financial data—like period mapping, currency handling, and balancing validations.
faster than building custom ETL scripts between S3 and Oracle Financials
Redbird can pull from Amazon S3 and Oracle Financials simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Amazon S3 or Oracle Financials.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Amazon S3 into Oracle Financials, or from Oracle Financials back into Amazon S3. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start workflows from new files landing in S3 or financial events in Oracle Financials—Redbird handles the connection.
Trigger when files matching specific patterns or prefixes appear in designated S3 buckets or folders.
Detect when existing objects in S3 are updated, versioned, or overwritten with new data.
Run on schedule to check S3 locations for new or updated files since last check.
Export formatted datasets as CSV, JSON, Parquet, or other formats to specified S3 paths.
Store files in S3 with custom tags, metadata, and folder structures for organized retention.
Extract data from CSV, Excel, PDF, XML, or other file formats stored in S3 buckets.
Trigger when new journal entries are posted to the general ledger in specific ledgers or accounts.
Detect when AP invoices reach specific approval stages or when payments are processed.
Trigger when accounting periods are closed or financial consolidation processes complete.
Post new journal entries to Oracle GL with line details, account codes, and supporting references.
Create accounts payable invoices with line items, PO matching, and GL distribution details.
Extract account balances, trial balance data, or transaction details from Oracle ledgers and subledgers.
See how Redbird AI connects Amazon S3 and Oracle Financials—automating financial data workflows that currently require manual exports, custom scripts, or middleware platforms.