codlynsoftwares

Multi-entity invoice extraction and continuous matching

Replaced manual invoice data entry and approval chasing with high-accuracy document intelligence and automated three-way matching.

Domain

Financial Services

Sector Profile

Multi-Entity Corporate Financial Services

Core Methodology

Notice · Understand · Build

01 · Operational Context

The Problem

Accounts payable teams across four operating subsidiaries manually reviewed, keyed, and routed thousands of multi-format vendor invoices monthly, creating audit backlogs and prolonged month-end reconciliations.

02 · Direct Observation

What We Noticed

On-the-ground reality

Accounts payable staff had developed intricate, undocumented spreadsheet routines to cross-reference purchase orders across separate subsidiary ledgers. Minor formatting differences in supplier invoices caused routine approval deadlocks.

03 · The Underlying Signal

What Mattered

Manual data entry was masquerading as financial control. Skilled accounting personnel were spending their energy on transcription rather than anomaly detection and supplier terms optimization.

04 · The Engineering Solution

What We Built

  • 1Document intelligence extraction pipeline processing scanned PDFs, electronic invoices, and emails with field-level confidence scoring.
  • 2Automated three-way matching engine cross-referencing invoice line items, purchase orders, and goods receipts across all subsidiary ERPs.
  • 3Targeted exception-handling portal that surfaces only genuine pricing discrepancies or unapproved variances for human review.

05 · Qualitative Shift

What Changed

Month-end financial close accelerated by days. High-volume straightforward invoices post directly without manual intervention, while duplicate billing attempts are flagged automatically before disbursement.

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Bring us the problem.

Tell us what is slowing the team down, what you are trying to automate, or what needs to be built. We start with the operational reality, not an assumed technology.