Enterprise Functions · Financial analysis & operational intelligence

Invoice & document extraction

OCR → validation → ERP: clean records without manual entry.

In short

Invoice & document extraction is an Aginies solution package for the Enterprise Functions sector in the “financial analysis & operational intelligence” area. What the agents do: Documents are classified; fields are extracted regardless of layout; extracted data is matched against purchase orders and goods receipts; tolerances are checked. Expected outcomes: key fields extracted without manual entry; finance cycles shrink from days to minutes; validated data flows straight into ERP and business systems. The package uses the Entity extraction, Document embedding pipeline, Stateful execution, Full I/O logging capabilities of the Aginies platform and can be watched live through the Procure-to-pay desk: request, quotes, contract and invoice in one place, Supplier invoice three-way match, Accounts payable inbox, Underwriting document extraction scenarios in the agent library.

The problem

Invoices, contracts and forms arrive by email and portal in every format. Data entry is slow, error-prone, and a missing document stalls the process.

What the agents do
  1. 01Documents are classified; fields are extracted regardless of layout.
  2. 02Extracted data is matched against purchase orders and goods receipts; tolerances are checked.
  3. 03Missing or inconsistent documents are flagged instantly with automatic feedback to the sender.
  4. 04Validated records are posted to the ERP; every field keeps its source document and confidence score.
Package scope
  • Invoice, delivery note, contract and form extraction; per-field confidence and source document
  • Three-way match with PO and goods receipt, tolerance rules
  • Exception queue: missing field, amount deviation, duplicate invoice
  • ERP posting and payment scheduling tools
What you need to start
  • Posting and query API access to the ERP (SAP, Oracle, Logo, Netsis)
  • 200–500 sample documents covering the document types
  • Tolerance and approval rules from the finance team
Architecture

Derived from the linked scenarios: the supervisors, specialist agents, models and systems that run this package.

Supervisors
Procurement SupervisorInvoice SupervisorAP SupervisorUnderwriting Supervisor
Specialist agents
Request AgentSourcing AgentContract AgentInvoice AgentCapture AgentMatching AgentPosting AgentCoding AgentDocument AgentMedical Assessment AgentUnderwriting Agent
Models (Hub catalogue)
aginies-sunkar-1aginies-tulpar-4aginies-talay-2aginies-konrul-1
Systems touched
Procurement InboxERPSupplier PortalContract RepositoryPayment HubSAP S/4HANAExchange / M365 MailTolerance Policy Vector StoreOracle EBSDocument Store (S3)Vendor Master / ProcurementUnderwriting WorkbenchVector StoreEmail (Exchange)
Channels
emailapibatchweb
Simulation volumes
67,800runs / month
95.9%success rate
7.8 smedian duration
$0.0044estimated cost / run

Summed from the simulation definitions of the linked scenarios; recalculated for your scale in the discovery session.

Outcomes
  • Key fields extracted without manual entry
  • Finance cycles shrink from days to minutes
  • Validated data flows straight into ERP and business systems
Capabilities used
Entity extractionDocument embedding pipelineStateful executionFull I/O loggingHuman-in-the-loopREST / MCP
Explore the platform →
Measured targets
Touchless document share70–85%
Field accuracy (critical fields)98% and above
Invoice processing timeFrom days to hours

Target ranges from comparable deployments; baseline and target are fixed together in the first week of the pilot.

Governance and approval rules

Scenario-level approval rules plus the package’s general controls.

  • Procure-to-pay desk: request, quotes, contract and invoice in one placeAmount > 250,000, single quote or non-framework supplier → procurement committee
  • Supplier invoice three-way matchPrice deviation > 2% or > 1,000 TL → buyer approval
  • Accounts payable inboxNon-PO invoice > 25,000 TL → cost centre owner approval
  • Underwriting document extractionLoading ≥ 50% or sum assured > 5,000,000 → senior underwriter approval
  • packageOut-of-tolerance deviation and new supplier always to a person
  • packageSource document and extracted value stored together; audit sample ready
Rollout
  1. 1 · Documents and rule set · 2 weeksDocument types, field dictionary, matching and tolerance rules written with the finance team; a sample set labelled.
  2. 2 · Parallel run · 4 weeksAgent and current process handle the same documents; the difference report reviewed weekly, cut-over when the accuracy threshold is met.
  3. 3 · Close integrationTied to the month-end calendar; exception queue, audit trail and reconciliation reports opened to internal audit.

Time to move from experimenting with AI to transforming with it.

In a 30-minute discovery session we take your 2–3 priority business problems, show a live demo of a similar scenario, and draft a roadmap that starts with the Value layer.

Book a 30-minute discovery session → dahi@aginies.com
  1. Your 2–3 priority problems
  2. Live demo of a similar scenario
  3. Roadmap starting with value analysis