Vessel Recon is coming soon
Finance does not break in systems. It breaks in documents.
Vessel Recon turns invoices, remittances, and financial documents into structured, reconciled datasets with deterministic matching and full audit lineage.
Built for AP and AR teams, ERP platforms, and reconciliation workflows
Document-to-ledger reconciliation infrastructure
Core workflow
JSON
Example reconciliation output{
"invoice_id": "INV-1023",
"amount": 12500,
"currency": "USD",
"matched": true,
"matched_transaction_id": "TXN-8892",
"confidence": 0.98,
"exceptions": [],
"lineage": "included"
}What is financial reconciliation automation?
Financial reconciliation automation turns messy documents into matched financial records.
Financial reconciliation automation is the process of matching invoices, payments, and bank transactions by extracting structured data and applying deterministic logic. This is what teams look for when evaluating invoice reconciliation software, accounts payable automation, accounts receivable automation, financial reconciliation software, and payment reconciliation tools.
Vessel Recon starts at the document layer where reconciliation actually breaks. It ingests unstructured financial records, normalizes the data, applies transparent matching logic, and returns reconciled outputs with audit-ready lineage.
The Problem
Reconciliation fails at the document layer.
Invoices arrive as PDFs, remittances come through email, statements vary by bank, and references do not line up cleanly. Teams fall back to spreadsheets, manual matching, and fragile finance workflows.
Unstructured documents arrive across vendors, customers, portals, and email threads.
References between invoices, payments, and statements are often missing or inconsistent.
Manual matching does not scale across AP and AR operations.
Limited traceability makes finance review and audit workflows harder than they should be.
The Product
Document-to-ledger reconciliation infrastructure.
Vessel Recon is financial data infrastructure for reconciliation workflows. It ingests messy documents, extracts structured data, and performs deterministic matching with full audit lineage.
Document-to-ledger ingestion
Ingest invoices, remittances, payment advices, bank statements, and emails across PDFs, scans, spreadsheets, and attachments where reconciliation actually breaks.
Structured financial extraction
Normalize line items, totals, currencies, counterparties, invoice IDs, PO numbers, and references into contract-aligned schemas.
Deterministic matching engine
Match invoices, payments, and statements using transparent, reproducible logic with configurable tolerances, scoring, and controls.
Audit-ready lineage
Every match is traceable to source documents, extracted fields, and matching logic for finance review and audit workflows.
How It Works
From messy finance documents to reconciled outputs.
Ingest invoices, remittances, statements, and emails from multiple sources.
Extract structured financial data such as line items, totals, and references.
Apply deterministic matching across documents and transactions.
Generate matches with confidence, exceptions, and full lineage.
Deliver reconciled outputs through APIs, webhooks, or exports.
Use Cases
Built for modern AP, AR, and reconciliation operations.
Accounts payable reconciliation
Automatically match supplier invoices to payments and bank statements across fragmented vendor formats and channels.
Accounts receivable matching
Reconcile incoming payments against issued invoices using remittance data from emails, PDFs, and portals.
Remittance and payment advice processing
Extract and structure remittance information from unstructured documents to drive downstream matching and posting.
ERP and finance data pipelines
Feed reconciled, structured datasets into ERP, general ledger, and reporting systems through APIs, webhooks, and exports.
Why Vessel Recon
Reconciliation infrastructure that starts where the mess actually lives.
Most reconciliation products assume clean system data. Vessel Recon starts with the unstructured documents, payment notices, and statement records that finance teams actually receive, then turns them into defensible, structured reconciliation outputs.
FAQ
Questions teams ask when evaluating reconciliation infrastructure.
What is financial reconciliation automation?
Financial reconciliation automation matches invoices, payments, and bank transactions using structured data and logic. Vessel Recon starts from messy documents and produces reconciled, traceable datasets ready for finance systems.
How is this different from AP or AR tools?
Most AP and AR tools assume structured inputs. Vessel Recon handles unstructured, real-world documents first, then performs reconciliation with full traceability and controls.
What documents are supported?
Invoices, payment advices, remittances, bank statements, emails, and spreadsheets across varied formats and delivery channels.
Is this a dashboard?
No. Vessel Recon is API-first infrastructure that powers reconciliation inside ERP, finance, and compliance systems.
Enterprise Readiness
Built for finance software vendors and enterprise reconciliation environments.
Schema-aligned extraction for finance and reconciliation data contracts
Deterministic matching logic with configurable tolerances and controls
Traceable linkage between source documents and posted matches
API-first integration into ERP, finance, treasury, and reporting systems
Built for customer-specific workflows, exceptions, and review operations
Designed for audit, internal controls, and enterprise reconciliation processes
Final CTA
Automate reconciliation at the document layer.
Use Vessel Recon to turn messy financial documents into structured, reconciled, and audit-ready datasets for AP, AR, and enterprise finance workflows.