Case Study · Document Intelligence
Turning business documents into trusted structured data
How DocPro transforms invoices, receipts, bank statements, KYC documents, purchase orders and custom documents into structured information ready for downstream workflows.
Case study 02 · The challenge
What a mixed document intake has to replace
Invoices, receipts, statements and KYC packs rarely arrive in separate, tidy queues. They arrive together, in every format, and someone sorts and types them before any real work starts. This case study follows that intake through DocPro, from the mailbox to data a downstream system can trust.
Today
Which pile does this go in?
One shared mailbox receives supplier invoices, expense receipts, bank statements and onboarding packs in the same stream. Someone opens every attachment to decide where it goes before anyone can work on it.
Today
Keyed twice, checked once
Fields are typed from the PDF into a system, then checked by a second person against the same PDF. The check catches typing errors. It does not catch a total that never agreed with the lines.
Today
The scan nobody wants
A photographed receipt, a fax-quality invoice, an address proof with a stamp across it. These sink to the bottom of the pile because they take longest, and they are often the ones that matter.
Underneath
One tool per document type
OCR for invoices, a separate template set for statements, manual handling for KYC. Each has its own exceptions, its own queue and its own idea of done.
Underneath
Text with no view on itself
Extracted text arrives with no sign of which values are uncertain. So either everything is checked again, or nothing is.
Underneath
The record ends at the spreadsheet
When someone later asks where a value came from, the answer is a file name and a person's memory. What was read, what was corrected and by whom was never kept.
The PTAS AI approach
One intake, classified before it is read
DocPro understands documents. In this workflow it does all four moves on its own: it works out what each document is, reads it with the agent built for that type, checks what it read, and delivers a record that says how sure it is about every field.
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01
Understand
DocPro classifies each document before reading it: invoice, receipt, bank statement, purchase order, KYC pack, or a type you defined. It routes the document to the agent built for that type, which reads the fields in context and scores each one.
One stream in, sorted by type
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02
Decide
Each record is tested against the rules for its type: lines against the invoice total, opening balance plus lines against closing on a statement, names and dates across the documents in a KYC pack, the vendor against your master. A field below your threshold or a failed check is marked for a person, with the reason.
Checked before anyone reads it
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03
Act
Clean records go out as structured JSON, by webhook, API or file, to the system that needs them: FinSuite for payables and reconciliation, your ERP, a case system or an onboarding workflow. Held fields go to the review queue for that document type.
Delivered where the work happens
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04
Verify
Every record keeps what was read, the score on each field, the checks that ran, any correction and who made it, and the original document. Fields you classify as sensitive are masked on export.
A record you can query later
The figure is one morning's intake after classification. Six agents take their own document types, and the three documents that fitted none of them wait for a person. The counts are illustrative.
One morning's intake, classified before it is read · Illustrative example
Illustrative data. Classification is the step intake tools most often skip, and it is what stops a bank statement being read as an invoice.
Classified first
A statement is never forced through the invoice pipeline. An unknown type goes to a person.
Scored per field
The record says which values it is sure of, so review covers only the ones it is not.
Shaped for the next system
JSON in the schema agreed for each type, with scores and check results attached.
The workflow
Ten steps from mixed intake to trusted data
Every document type takes the same route. What changes is the agent at step three and the checks at step six. Every step writes to the same record, so the output carries its own history.
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01
Intake
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02
Classify
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03
Route to agent
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04
Extract
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05
Confidence
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06
Validate
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07
Human review
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08
Structured output
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09
Downstream system
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10
Audit
DocPro classifies → the right agent reads → your systems receive checked data
How DocPro worksStep by step
What each step does, and who owns it
DocPro owns nine of the ten steps. The seventh belongs to your people, and they see only what a rule or a threshold could not settle.
Step eight, seen from the outside. Four documents of four types arrive; the invoice comes back as typed fields, each with its own score. The values and percentages are illustrative.
Illustrative workflow · documents in, fields out
Illustrative data. The percentages show how confidence is reported per field; they are not a measured accuracy.
Human review
Where a person comes in, and what they see
Review is a control, not a failure state. A person is asked about a field DocPro could not read with confidence or a check that failed. In a mixed intake the reasons differ by document type, and so do the people best placed to settle them.
One morning's onboarding batch · Illustrative example
A reviewer opening a held case sees one line to settle. That is the difference between a queue that clears and one that grows.
The figure is the KYC part of the intake, with illustrative numbers. Each held case names the field that failed, so the reviewer settles one line and leaves the rest of the pack alone. Other types have their own queues: a low-confidence invoice total goes to accounts payable, a failed statement balance to the account owner. The human-in-the-loop guide covers how to design queues that shrink.
Products used
DocPro and the six agents in this intake
One product, one pipeline, and an agent for each document type. They share the classification step, the confidence model, the review queue and the audit trail, so a receipt and a KYC pack are governed the same way.
DocPro agent
Invoice Agent
Supplier invoices: header, every line with HSN, rate and tax, and totals recomputed against the lines.
Invoice Agent →DocPro agent
Receipt Agent
Expense receipts and UPI slips, photographed badly as a matter of course. Image quality shows up as confidence.
Receipt Agent →DocPro agent
Bank Statement Agent
Transaction rows with the running balance proved on every page, so a missing page is reported.
Bank Statement Agent →DocPro agent
Purchase Order Agent
Order lines with units and codes normalised, ready for the match against an invoice.
Purchase Order Agent →DocPro agent
KYC & Identity Agent
Identity and address documents read, cross-checked across the pack, with sensitive fields masked on export.
KYC & Identity Agent →DocPro agent
Custom Document Agents
Types the standard agents do not cover, such as lorry receipts, built from a schema and real samples.
Custom Document Agents →DocPro delivers each record as structured JSON through the API, by webhook as each document completes, or as a file. Where it goes next is your choice: FinSuite for payables and reconciliation, your ERP, or a case or onboarding system. Which integration method applies to each system is confirmed during assessment.
How records leave DocProControls
What stops bad data reaching the next system
A wrong value read with confidence is more dangerous than a blank, because it travels. In this workflow the controls sit inside the chain, before delivery, and each one leaves a record. The DocPro security page has the detail.
Thresholds you set
Confidence thresholds per field and per document type, and the rules each type runs, are your configuration. Every change records who made it and when.
Unknown types stop
A document that fits no known type is held for a person. It is never read by the nearest agent and returned looking clean.
Redaction and retention
Identity numbers and any field you classify as sensitive are masked on export. Documents are held for the period your retention policy sets, and deletion is recorded.
Deployment and access
Role-based access, encryption and audit trails, with ISO/IEC 27001-aligned security practices. Cloud, private cloud, or on-premise and air-gapped deployment where supported.
Where it applies
Industries where a mixed intake shows up first
The mix of documents changes by sector. The pipeline does not. Wherever several document types arrive through the same door, classification comes first and the rest follows.
Manufacturing
Supplier invoices, purchase orders and goods receipts in one stream.
ExploreRetail
Vendor invoices and store receipts at volume, in many layouts.
ExploreE-commerce
Vendor invoices beside settlement reports and payment slips.
ExploreBanking & Financial Services
KYC packs and bank statements, identity fields masked on export.
ExploreHealthcare
Supplier invoices and administrative paperwork only.
ExploreLogistics
Lorry receipts, carrier bills and proof of delivery.
ExploreSupply Chain
Orders, receipts and invoices read per shipment.
ExploreTechnology
Subscription and contractor invoices, and expense receipts.
ExploreNext step
How to test this on your own intake
A folder of clean examples proves little. A morning's intake as it arrived, with the scans, the mixed packs and the document nobody can classify, is the test worth running.
Test one document in DocPro
Upload a supplier invoice or a UPI receipt and see the fields it returns beside the page.
Request a DocPro demo on your intake
Bring a morning's mixed documents. We run them through classification, the agents and your checks, with confidence on every field.
Book a call
Walk through the document flow you would start with, and what the first workflow would cover.
The public document test runs the Invoice Agent and the Receipt Agent on one page at a time. Statements, purchase orders, KYC packs and custom types run in a demo on your own documents. Going live is typically four to twelve weeks for a single workflow, an indicative range that varies by document types, workflows, integrations and deployment. The IDP evaluation guide sets out how to test any document processing tool, ours included. The workflow on this page is representative; it is not presented as a customer deployment or an independently measured result.
FAQ
Questions teams ask about this case study
Is this a customer deployment?
No. This case study describes a representative workflow built from DocPro's agents and controls. It is not presented as a customer deployment or an independently measured result, and the numbers in the figures are illustrative.
What happens to a document DocPro cannot classify?
It is held for a person with the reason, and never sent to whichever agent looks closest. The reviewer assigns the type or rejects the document. If a new type keeps arriving, it becomes a candidate for a custom agent.
Do we need a template for each supplier or bank?
No. Fields are found by layout and context, so a new supplier's invoice or a new bank's statement is read on its first document. Where a layout lowers confidence on some fields, those fields go to review and the log names the source.
Can DocPro run without FinSuite?
Yes. DocPro delivers structured JSON by API, webhook or file to any system. FinSuite is the natural next step for invoices and statements, and case study 01 shows the two products together, but it is not required.
How are identity documents protected?
Identity fields can be masked on export per field and per destination, access is role-based, and documents are held for the period your retention policy sets, with deletion recorded. On-premise and air-gapped deployment are available where supported.
Keep reading
Related products, solutions and case studies
DocPro
The product page: one pipeline, six agents, a score on every field.
Read more →Intelligent Document Processing
The capability this case study runs, as a solution you can evaluate.
Read more →Case study 01: Document-to-Finance Automation
DocPro and FinSuite together, from invoice to payment status.
Read more →Case study 03: Finance Reconciliation Automation
Statements matched to the ledger, with every break explained.
Read more →Next step
See what your own intake looks like once it is read
Send us a morning of mixed documents as they arrive. We will show you how they classify, which fields come back with confidence, and which would reach a person.