Finance

Finance teams run on documents—often messy, inconsistent, and time-sensitive. Invoices arrive in dozens of formats, payment confirmations come via email, bank statements vary by provider, and supporting evidence for audits lives across PDFs, scans, and attachments.

Enterflow applies AI-powered OCR and document workflows to automate finance operations: extracting structured data, validating it against business rules, and routing it into your accounting systems with clear exception handling.

Where AI OCR delivers the most value in Finance

1) Accounts Payable automation (Invoices, credit notes, receipts)

Automate the highest-volume finance workload: capturing invoice data reliably and pushing it into your AP workflow.

Typical documents

• supplier invoices (PDF, scan, photo)

• credit notes

• expense receipts

• remittance advice

What we extract

• supplier name, VAT ID, address

• invoice number, invoice date, due date

• currency, totals, tax amounts, VAT breakdown

• payment details (IBAN, bank name)

• line items (description, quantity, unit price, tax rate)

Built-in checks

• totals reconciliation (line items vs header totals)

• VAT logic and formatting checks

• duplicate detection (invoice number + supplier + amount)

• PO/GRN matching readiness (see below)

2) PO matching and three-way match support

Enable faster, cleaner matching by extracting the key elements needed for automated reconciliation.

Typical documents

• purchase orders

• goods received notes (GRN) / delivery notes

• invoices

What the workflow does

• standardizes data across documents

• extracts identifiers (PO number, item codes, quantities)

• flags mismatches and exceptions for review

• supports configurable tolerance rules (e.g., under/over delivery thresholds)

3) Bank statement ingestion and reconciliation support

Bank statements are often PDFs or exports with inconsistent layouts. AI OCR can convert them into reliable structured transactions.

Typical documents

• monthly bank statements

• transaction reports

• payout reports (from PSPs/marketplaces)

What we extract

• transaction date/value date

• counterparty name and reference

• amounts, currency, fees

• balance lines and statement totals

Use cases

• automate imports into reconciliation tools

• detect anomalies (unexpected fees, duplicates, missing transactions)

• standardize references for matching against invoices and payouts

4) Payment processing: remittance advice and proof of payment

Many finance teams still manually link payments to invoices due to unstructured payment proofs.

Typical documents

• remittance advice PDFs

• SWIFT confirmations

• payment screenshots or scanned confirmations

What the workflow does

• extracts payment references and invoice mappings

• links remittance entries to open invoices

• flags ambiguous mappings for human review

5) Audit and compliance evidence packs

Audits often require assembling supporting documentation from multiple sources.

Typical documents

• invoices, contracts, approvals

• supplier onboarding forms

• bank/payment confirmations

• policy evidence and internal approvals

What the workflow does

• classifies documents into evidence categories

• extracts key metadata (dates, parties, identifiers)

• creates searchable, structured records for quick retrieval

• provides traceability from extracted values back to the source document

6) Month-end close acceleration

Close activities often involve chasing documents, validating numbers, and reconciling supporting evidence.

AI OCR helps by:

• converting inbound PDFs/scans into structured records

• enabling consistent checks across vendors and formats

• reducing manual re-keying and follow-ups

• improving visibility into exceptions early (before close crunch)

Why finance teams choose custom OCR vs. generic tools

Finance documents look standardized—until they are not. Enterflow builds around your reality:

• multiple vendor templates and layout drift over time

• local compliance variations (VAT formats, currencies, language)

• business-specific validation rules and approval thresholds

• integration requirements (ERP/accounting systems, workflow tools)

Instead of a “one-size-fits-all” model, we deliver a workflow with measurable accuracy and controlled exceptions.

Key data we track (so ROI is clear)

We define success with finance-friendly operational metrics:

• Straight-through processing rate (no human touch)

• Exception rate (needs review) and top exception causes

• Field-level accuracy for critical fields (totals, invoice number, VAT)

• Cycle time from document arrival to posting/approval

• Cost per processed document vs manual handling

• Duplicate and anomaly detection rates

Integration targets (where the data goes)

We integrate extracted and validated data into your existing stack, commonly:

• ERPs and finance systems (e.g., SAP, Oracle, Dynamics, NetSuite, Xero, QuickBooks)

• AP automation tools and workflow systems

• Data warehouses and reporting layers

• Shared inboxes and ticketing/approval tools

(Integration approach depends on your environment: API, file drop, queue/event bus, or RPA where needed.)

Security and private deployments

Finance data is sensitive. We support:

• private cloud deployments (AWS, Azure, or GCP)

• private networking, encryption, IAM/RBAC, audit logs

• configurable retention and deletion policies

Want to see what this would automate in your finance workflow?

If you share a small sample set of documents (even 20–50 across your main vendors), we can map:

• what can be extracted reliably,

• which validation rules will catch errors,

• where exceptions will occur,

• and a phased rollout plan (pilot → production).

Contact: info@enterflow.ai
Website: https://enterflow.ai/