How can enterprises in the finance · professional services industry implement invoice recognition and verification services?

Introduce recognition capabilities covering all invoice types, automatically extract and structurally output invoice information, directly write it back to business systems, and eliminate manual entry one by one; automatically connect to tax authority verification to check invoice numbers, amounts, invoicing dates, and issuer status, and perform cross-period duplicate reimbursement comparison; separately push entries with low recognition confidence for manual review, with the rest of the process fully unattended.

What problems existed before Pipework launched AI OCR?

Costs mainly occur in professional service procurement, travel and entertainment, premises and office, and technical systems and outsourced consulting, with many expense entries, a wide range of single amounts, and the need to be collected separately by project and entity; invoice images are photographed and uploaded by the handler, and shooting angle, lighting, and wrinkles all affect readability, so finance often has to re-verify against the originals during review; entry errors propagate along certification, deduction, and vouchers, making post-correction costly.

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Finance · Professional ServicesAI-OCR

Pipework (Hong Kong) · Cross-border enterprise services provider

Pipework | Cross-border Business Invoice Recognition and Verification

2-year termCooperation term

Recharge packageBilling method

Enterprise overview

Pipework (Hong Kong) Limited is an institution engaged in cross-border enterprise services, providing clients with business-finance-tax and compliance support for mainland and overseas operations.

Business pain points

Costs mainly occur in professional service procurement, travel and entertainment, premises and office, and technical systems and outsourced consulting, with many expense entries, a wide range of single amounts, and the need to be collected separately by project and entity. Invoice images are photographed and uploaded by the handler, and shooting angle, lighting, and wrinkles all affect readability, so finance often has to re-verify against the originals during review. Entry errors propagate along certification, deduction, and vouchers, making post-correction costly
Duplicate reimbursement relies on memory and ledger comparison, and duplicates across periods and departments are hard to detect. Under spot-check methods, abnormal invoices are often exposed only at the certification stage, by which time the business has already completed payment
Voided invoices and red-flushed invoices mixed into accounts directly affect input VAT deduction and cost recognition. After China Golden Tax Phase IV, tax comparison tends toward full quantification. Once invoice authenticity has problems, it directly affects deduction, and spot-check verification can no longer cover regulatory requirements

Solutions

Introduce recognition capabilities covering all invoice types, automatically extract and structurally output invoice information, directly write it back to business systems, and eliminate manual entry one by one
Automatically connect to tax authority verification to check invoice number, amount, invoicing date and issuer status, and perform cross-period duplicate reimbursement comparison
Items with low recognition confidence are separately pushed for manual review, while the rest of the full process is unattended
Ultimately upgrades verification coverage from sampling to full volume, intercepting anomalies before booking, with verification records retained for future reference
And opening recognition and verification capabilities to other business systems for invocation, avoiding duplicate construction of similar capabilities across systems