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Intelligent Document Processing Solutions
Ailoitte builds AI document processing pipelines that you own. Invoices, contracts, claims, KYC files and shipping paperwork become clean, validated data in your ERP or system of record. Every field carries a confidence score with its own threshold, every exception lands in a queue with a named owner, and accuracy is measured on your documents, not quoted from ours.
Send a batch that includes your worst scans. Within a week: the straight-through rate that is realistic, where the thresholds should sit, and the fixed price.
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Accuracy you can check
Field, document and straight-through rates, on your files.
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Affordable by design
Fixed price from $4,000. No per-page license.
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Exceptions owned
A named owner and alerts on every queue.
AI document processing, in six answers.
What we build
Pipelines that read documents, extract the fields you need, check them against your rules and write clean data into your systems.
How accuracy is reported
Field accuracy, document accuracy and straight-through rate together, measured on a sample of your real documents with the method stated.
How long it takes
A first document type live with exception handling in 6 to 10 weeks, including integration. More types on the same base go faster.
What it costs
A fixed price per document type, $4,000 to $39,000 by scope and AI complexity, quoted after a free document audit. No per-page license.
What a person still does
Reviews the fields the system is unsure about, in a queue that shows the source document beside the pre-filled form.
What you keep
Code, models, prompts, settings and test sets, assigned to you on payment. Your team can run it without us.
Sunil Kumar 
OCR gives you characters. Intelligent document processing gives you meaning.
Intelligent document processing reads a document the way a trained clerk would: it finds the fields you need, understands what each one means, checks them against your rules and returns structured data with a confidence score on every field. Feed a scanned invoice to plain OCR and you get a wall of text. It cannot tell the tax from the subtotal, the invoice date from the due date, or where the line items start.
Good IDP also copes with what breaks OCR: rotated scans, poor copies, handwritten entries in boxes, and tables that run across a page break. It works on layouts it has never seen, so a new supplier does not mean a new template.
The real difference shows up downstream. OCR output still needs a person to interpret it. A well-built intelligent document processing pipeline writes validated data straight into your ERP and sends a person only the fields it is unsure about.
Already using an OCR or IDP tool?
We can measure what it really delivers on your documents: field accuracy, document accuracy and the share that needs no human touch.
The question to ask every vendor
What "99% accurate" actually means.
Field accuracy and document accuracy are very different numbers. The gap is arithmetic, not opinion. The table shows the chance that every field on a document is right.
| Field accuracy | 5 fields | 10 fields | 20 fields | 30 fields |
|---|---|---|---|---|
| 99.9% | 99.5% | 99.0% | 98.0% | 97.0% |
| 99.5% | 97.5% | 95.1% | 90.5% | 86.0% |
| 99.0% | 95.1% | 90.4% | 81.8% | 74.0% |
| 98.0% | 90.4% | 81.7% | 66.8% | 54.5% |
| 95.0% | 77.4% | 59.9% | 35.8% | 21.5% |
Assumes errors are independent. Real documents have some linked errors, so read these as indicative. The direction and size of the gap are real.
A "99% accurate" invoice reader is 82% right
On a twenty-field invoice, 99% per field means about 82% of documents are fully correct. Roughly one in five still needs a person. At 98% per field it is about two in three.
Ask for the straight-through rate
The share of documents that need no human touch decides your saving. Ask for it with the field count, the document types, the threshold used, and whether the test set was held back from training.
Why we publish no accuracy figure
A number measured on someone else's documents tells you nothing about yours. We measure on a sample of your real documents and report all three rates, with the method stated.
Tables are where projects fail quietly
Line items across a page break, merged cells, nested subtotals and columns that move between suppliers. On an invoice or manifest the table is the point, so we test it on your worst examples.
Where the design decisions live
Confidence thresholds and the exception queue.
No document pipeline is fully automatic. What separates one that works from one that gets abandoned is how it handles the rest. A purchase order number wrong by one digit is an annoyance; a payment amount wrong by one digit is a loss.
Thresholds
Set per field, not per document
A business decision, not a technical one.
- Every field carries a confidence score
- You set the level at which it acts alone
- A payment amount gets a higher bar than a PO number
- Tuned on your real data during a shadow run
- Validation rules catch values that look right but are not
Exceptions
Correcting, not re-keying
The queue that decides whether people trust the pipeline.
- Extracted data pre-filled, unsure fields highlighted
- Source document shown beside the form
- A named owner, because unowned queues grow quietly
- Alerts when the exception rate moves
- Reviewed corrections improve the next run
Coverage
Check my documents
Intelligent document processing solutions for every document type.
The common requirement is enough volume to justify automation and enough consistency for the output to be validated.
Invoices and payables
Header and line items across hundreds of supplier layouts, three-way matching and posting to your ERP. Usually the fastest payback.
Contracts
Parties, key dates, renewal and termination terms, obligations, and clauses that differ from your standard positions.
Healthcare forms
Referrals, intake forms, prior records and faxes read, sorted and routed. Often the worst source quality of any type.
KYC and onboarding
ID documents, proof of address, bank statements and company filings, with validation and duplicate checks.
Shipping documents
Bills of lading, packing lists, customs paperwork and delivery notes, where multi-page tables are the whole document.
Purchase orders
Orders taken in from varied formats, matched against contracts and reconciled with goods receipts.
Not sure your documents are a good fit?
Send a mixed batch, including the awkward ones. We will tell you which types are worth automating and which are not.
Buy, use an API, or build
Is there a best intelligent document processing software?
For common documents, packaged platforms are good, and Gartner published its first Magic Quadrant for the category in September 2025 (Business Wire). But rankings compare products, not your documents. The model is rarely what holds a project back. The rules that catch a plausible but wrong value, the thresholds, the queue and the write into your ERP are.
A packaged IDP platform
- Fastest start for common document types
- Pricing usually per page or per document
- Validation and queues work their way
- Compared in analyst reports
A cloud extraction API
- Cheap per page and quick to test
- Returns fields, not a finished process
- Thresholds, queues and posting are yours to build
- Good base for a custom pipeline
A pipeline built for you
- Rules, thresholds and queues set per field
- Writes into your system of record
- No per-page license as volume grows
- Takes 6 to 10 weeks for a first type
How we deliver
From document audit to structured data, in five stages.
A first document type live with exception handling in 6 to 10 weeks. The audit and threshold work are planned in from week one, because they decide what can be automated safely. Delivered on Clarity, our delivery method.
Stage 01
Document audit
Your real documents, including the worst ones. Field count, layout variation and scan quality assessed, your current baseline measured, and an honest read on fit.
Stage 02
Extract and validate
Field schema and validation rules defined. Tables and line items tested on their own. The model approach chosen per document type and thresholds drafted per field.
Stage 03
Shadow run
The pipeline runs beside your manual process on real volume. Output compared field by field, all three rates measured, and thresholds tuned on the results.
Stage 04
Integrate
Clean data written into your system of record. The exception queue goes live with a named owner, alerts and the source document beside every form.
Stage 05
Go live and expand
A phased cutover with rollback ready. Automation and exception rates reported together. Then the next document type on the same base.
Before you automate invoices
Some of your invoices are about to stop being documents.
E-invoicing mandates are spreading, and they change what an invoice pipeline should do. The right design accepts structured e-invoices and scanned PDFs into the same validation, the same exception queue and the same posting step.
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01
The EU has set a date
The EU adopted its VAT in the Digital Age package on 11 March 2025. Intra-EU business invoices must be electronic from 1 July 2030 (PwC).
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02
France has already started
Since 1 September 2026 every French business must accept electronic invoices, and large and mid-sized firms must issue them. Smaller firms follow on 1 September 2027 (CMS).
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03
Invoices will arrive as data
A compliant e-invoice is a structured file, not a picture of one. For those suppliers, there is nothing left to extract, only data to validate and post.
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04
Documents will not disappear
Suppliers outside these rules, receipts, contracts, claims, shipping papers and your archive will still arrive as PDFs and scans for years.
Commercial model
We do not sell you software. We build your pipeline.
The difference matters most when your volume grows. Personal, financial and health data is handled under GDPR, UK GDPR or HIPAA with a DPA or BAA signed. See security and compliance and private AI deployment.
Owned outright
- Code, models and prompts assigned to you
- Test sets and settings included
- No per-page license
- See IP protection
Model chosen per type
- General models where layouts are standard
- Fine-tuning only where it pays
- Open models for private hosting
- We tell you which applies
Runs where policy says
- Cloud, your tenancy or on-premise
- Documents never reach a third party
- Redaction where data is not needed
- Retention and deletion set at design
Measured in production
- Automation and exception rates together
- Downstream errors tracked, not just extraction
- Alerts when rates drift
- Monthly report against your baseline
In production
View Portfolio
Document-heavy systems we have shipped.
Compliance files, identity checks and onboarding documents for regulated businesses. Each one is judged on a business number, not on how clever the extraction looks. See ROI case studies.
Pricing
What AI document processing costs.
A document pipeline costs $4,000 to $39,000 per document type, fixed, depending on field count, layout variation and how much AI it needs. A standard invoice type into one ERP sits toward the low end; handwritten forms, multi-page tables or several languages sit toward the top.
Raw extraction is cheap: AWS lists its invoice API at $0.01 a page for the first million pages (AWS pricing). What costs money is everything around it, and that is what we build. You pay usage directly, with no per-page license on top. Larger programs can run as an AI Velocity Pod from about $15,000 a month.
Stack and integration
Built into the systems your finance and operations teams use.
Extracted data lands where the work happens, not in a portal someone has to remember to check. Where no usable API exists, we use middleware or file exchange.
ERP
SAP, Oracle, NetSuite, Microsoft Dynamics or Tally.
Accounting
QuickBooks, Xero or Zoho Books, posted with an audit trail.
Document stores
SharePoint, Box, Google Drive or your own storage.
Intake
Email inboxes, scanners, SFTP, upload portals or an API.
E-invoices
Peppol and national formats taken in beside scanned PDFs.
AI models
Cloud extraction services, or open models in your own cloud.
Data
Your data warehouse, as CSV, JSON or direct tables.
Monitoring
Field, document and straight-through rates, with drift alerts.
FAQ
Ask a document AI lead
Intelligent document processing, answered.
What is intelligent document processing?
Software that turns documents into structured, validated data your systems can use. Where OCR turns an image into text, IDP understands it: which number is the total, which is a line item, how a table runs, even on a layout it has never seen.
How is IDP different from OCR?
OCR gives you characters; IDP gives you meaning. OCR returns a wall of text. IDP returns labeled fields, checked against your rules, with a confidence score on each one, and copes with rotated scans, poor copies and tables across page breaks.
What does 99% accuracy actually mean?
Usually per field, which is not per document. At 99% per field on a twenty-field invoice, only about 82% of documents are fully correct, so one in five still needs a person. At 98% it is about 67%.
Which number should we ask a vendor for?
The straight-through processing rate: the share of documents that need no human touch. Ask for it with the field count, the document types, the threshold used and whether the test set was held back from training.
Which is the best intelligent document processing software?
The one that reaches the highest straight-through rate on your documents, at a cost that still works as volume grows. Analyst reports compare packaged platforms well, but only a test on your own batch, including the worst scans, answers the question.
Why don't you publish accuracy figures?
Because a figure from someone else’s documents tells you nothing about yours. Results depend on layouts, scan quality, languages, field count and supplier variation. We measure on your sample and report all three rates with the method.
How do confidence thresholds work?
Every field has a score, and you set the level at which the system acts alone. We set thresholds per field, because a payment amount deserves a higher bar than a PO number, and tune them on your data during a shadow run.
What happens to documents it cannot process?
They go to an exception queue with the data pre-filled and unsure fields highlighted. The source document sits beside the form, so people correct rather than re-key. The queue has a named owner and alerts.
Can it read handwriting and poor scans?
To a degree, and it depends on the document. Handwritten entries in boxes work well; free-form handwriting is much harder. Poor scans and faxes often work with pre-processing, but we test your worst cases rather than assume.
Does it read tables?
Yes, and tables are where most projects fail quietly. Rows across page breaks, merged cells, nested subtotals and moving columns break simple extraction, so we test tables on their own.
Which systems does it write into?
Your ERP, accounting system, document store or data warehouse. SAP, Oracle, NetSuite, Dynamics, Tally, QuickBooks, Xero, SharePoint and Box are common. Without a usable API, we use middleware or file exchange.
Do e-invoicing mandates make IDP pointless?
No, but they change the invoice part of it. Structured e-invoices arrive as data, so they need validation and posting, not extraction. Receipts, contracts, claims and suppliers outside the rules still need IDP.
How do you handle sensitive data?
Retention, access, encryption and deletion are set at design time. We redact data the next step does not need, sign a DPA or BAA, and can run the pipeline inside your own cloud or on-premise.
How long does implementation take?
A first document type live with exception handling in 6 to 10 weeks. More types on the same base are faster. A program across many types takes 3 to 6 months.
How much do intelligent document processing solutions cost?
Between $4,000 and $39,000 per document type, fixed, depending on scope and the AI involved. There is no per-page license; you pay usage directly. We quote after a free document audit.
A question about your own documents?
Send it over. A document AI lead replies within 12 hours.
Send us your worst documents.
Not your cleanest samples. Include the poor scans, the awkward suppliers and the multi-page tables. A senior architect will tell you what straight-through rate is realistic, where the thresholds should sit, and whether a packaged product would cover it.
- Mutual NDA before we see any document
- A document AI architect on the call, not a salesperson
- A free document audit and fixed price within a week
- No obligation, and nothing to pay to find out
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