Accounting

Accounting teams deal with constant document flow—supplier invoices, receipts, bank statements, contracts, journal support, and audit evidence. When this information arrives as PDFs, scans, and email attachments, manual re-keying and reconciliation slow down close, increase errors, and reduce visibility.

Enterflow applies AI OCR and document workflows to Accounting to convert documents into structured data, validate it with accounting rules, and push it into your systems with clear exception handling.

Where AI OCR delivers value in Accounting

1) Supplier invoices and AP posting support

Automate the capture of invoice data and prepare consistent posting-ready records.

Typical documents

• invoices, credit notes, receipts

• remittance advice and payment confirmations

• vendor statements

What we extract

• vendor identity (name, address, VAT/tax ID)

• invoice references (invoice number, dates, payment terms)

• totals, VAT/tax amounts, currency

• bank/payment details (e.g., IBAN)

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

Accounting outcomes

• faster data entry and fewer posting errors

• consistent coding-ready data for GL mapping

• improved control via validations and audit trails

2) GL coding support and structured posting packs

Many teams still rely on email threads and PDFs for coding decisions.

What the workflow can do

• classify spend categories based on supplier, description, and rules

• suggest GL accounts / cost centers / departments (with human review)

• produce a “posting pack” that includes extracted fields, checks, and source references

• route exceptions (missing PO, missing VAT ID, unexpected tax) to the right approver

This supports standardization without removing human control.

3) Bank statement ingestion and reconciliation acceleration

Bank statements often arrive as PDFs or provider-specific exports.

Typical documents

• bank statements and transaction reports

• PSP/marketplace payout reports

• card statements

What we extract

• transaction dates and references

• counterparties and narrative text

• amounts, fees, currencies

• statement totals and balances

Accounting outcomes

• faster imports into reconciliation tools

• improved matching via normalized references

• anomaly flags for unexpected fees or duplicates

4) Month-end close support (evidence, accruals, variance analysis)

Close is often delayed by missing documentation and manual evidence collection.

AI OCR helps by:

• indexing and classifying supporting documents automatically

• extracting key values into structured close checklists

• detecting missing items early (before the last week of close)

• creating searchable evidence folders for accruals and reconciliations

5) Fixed assets and capitalization evidence

Capital purchases often require documentation trails and consistent metadata.

Typical documents

• vendor invoices and supporting contracts

• acceptance certificates, delivery notes

• depreciation schedules and approvals

What the workflow does

• extracts asset descriptors, amounts, dates, and references

• flags items that meet capitalization thresholds or policy rules

• organizes evidence for audit readiness

6) Audit and compliance documentation

Audits frequently require quickly producing the right documents with clear traceability.

What the workflow supports

• document classification (contracts, invoices, approvals, bank confirmations)

• consistent indexing and metadata (dates, parties, amounts, references)

• linking extracted values back to page references for review

• retention and deletion rules aligned to policy

Accounting-grade validation (controls that reduce risk)

We implement checks designed for accounting reliability, such as:

• totals and tax reconciliation (line items vs header totals)

• VAT/tax ID presence and format checks (by region)

• duplicate invoice detection and vendor normalization

• payment term and due date logic checks

• tolerance rules for rounding, partial invoices, and credits

• exception queues with reason codes (so issues are explainable)

These checks make automation safer and reduce downstream corrections.

Key data we track (so impact is measurable)

We define success using metrics accounting leaders recognize:

• Straight-through processing rate (no manual intervention)

• Posting accuracy for critical fields (invoice number, totals, VAT)

• Exception rate and root causes (missing PO, tax mismatch, vendor unknown)

• Cycle time from receipt to posted/approved

• Close-time impact (days to close, time spent on evidence)

• Cost per document vs manual processing

Integration targets (where the data goes)

We integrate extracted and validated records into your stack, typically:

• accounting software and ERPs

• AP/expense tools and approval workflows

• reconciliation tools and treasury systems

• document management and audit repositories

• data warehouses and reporting environments

Integration patterns include API, webhooks/events, secure file exchange, and adapted approaches for legacy systems.

Security and private deployments

Accounting documents often contain sensitive vendor banking details, contract terms, and personally identifiable information. We support:

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

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

• configurable retention and deletion policies

Ready to reduce manual accounting work and speed up close?

If you share representative documents (invoices, statements, receipts, close evidence), we can map:

• extraction targets and expected accuracy,

• validation rules and exception routing,

• integration into your accounting system,

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

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