Extraction & classification
OCR + LLM extract and classify any document against your schema.
85% less time per document
Service
Document Automation & Intelligence for Regulated Industries
Turn high-volume documents into structured, decision-ready data — context-aware pipelines that run from client onboarding through the full data journey, not one-off AI chats.
Document processing automation — intelligent document processing (IDP) — turns large volumes of documents into structured, trustworthy data using a pipeline of OCR, LLM extraction against a defined schema, RAG grounding for traceability, and human-in-the-loop validation. Unlike chatting with an AI one file at a time, it is a context-aware system that carries information from client onboarding through the entire data journey.
1,200+client reports a year, produced automatically — US property-services firm
85%less time per report
4 hrsper report — was three weeks
Plugs into the stack you already run
GmailGoogle Drive
SharePoint
BoxWordExcel
iManage
NetDocuments
GmailGoogle DriveSharePointBoxWordExceliManageNetDocumentsSee it run
Document Intelligence Engine — live run
This is the engine class this page describes, running: documents arrive, get classified and extracted, every answer cited back to its source, a human approving the flags. Illustrative run — the build is always yours.
Document Intelligence Engine — live run Live
The problem
Document intelligence, not document chat
Uploading files into a chatbot does not scale. If you are an accountant with hundreds of clients, you cannot run thousands of separate chats to extract and reconcile information — context is lost the moment each conversation ends.
Real document intelligence builds and carries context. We engineer a "chain of thought" the system follows across the whole journey — from the moment a client is onboarded, through every document they send, to the decision the data ultimately supports. That context is what lets a CPA file taxes, evaluate strategy, and actually make sense of extracted information, instead of re-explaining the situation on every upload.
Proof
What this looks like in production
Intelligent document processing · Property servicesRead the full case study
Report production: three weeks to four hours.
Site photos, PDFs, spreadsheets and field notes — thousands of files per engagement — classified, extracted, modelled and assembled into a 50+ page client report automatically, then reviewed by an analyst before it ships. 1,200+ times a year.
85%less time per report
1,200+reports a year
- Photos, PDFs and field notes received
- Measurements extracted and modelled
- 50+ page report assembled
- Analyst review → shipped to client
What we automate
Where automation creates value
RAG grounding & traceability
Every output traces back to its source for trust and audit.
Accuracy you can defend
Human-in-the-loop & STP
Straight-through for clean cases, human review for the rest.
Scales without adding headcount
How our IDP pipeline works
We capture documents with high-fidelity OCR, classify them, then use LLMs to extract data against a defined schema for each document type. Every extracted field is grounded in the source via retrieval (RAG), so outputs are traceable and audit-ready rather than a black box. Low-confidence items route to a human-in-the-loop review step; high-confidence items flow straight through. The structured result is written into the systems you already run — ERP, DMS, or accounting software — with full audit trails and exception handling.
Where we have deployed document intelligence
Document intelligence has been a core Chronexa capability since day one, in production across legal, financial services, insurance, research, patent review, accounting, and pharma. We work under NDA, so we do not name clients — but the experience is real and hands-on: from reserve-study report generation combining OCR and AI, to document and matter workflows for a law firm, to extensive accounting and pharma deployments.
Run your numbers
What does document processing cost you today?
Invoices are the highest-volume document pipeline most firms run — put your own numbers in and see what the current process leaves on the table. The full breakdown lands in your inbox.
Data entry is cheap. Missed opportunities are expensive. If invoices sit in an approval queue for more than 10 days, you forfeit the “2/10 Net 30” early payment discount — and on a $20M spend base, that 2% is worth $400,000 a year.
Total Annual Cash Opportunity
$160k
Your slow AP approval cycle is costing your firm $160k every year.
$80k
Labor savings (reducing cost-per-invoice from $12 to $2)
$80k
Missed early payment discounts (2% on $4.00M eligible spend)
The CFO reframe: This is not an AP efficiency problem. It is a Working Capital problem. The labor savings ($80k) are almost irrelevant. The missed discounts ($80k) are 1× larger — and entirely avoidable with same-day invoice processing.
$48k
Additional working capital released annually by compressing approval from 12 days to 24 hours (at 8% cost of capital)
Download the Full Board Report — formatted to show your CFO
A complete breakdown of your AP cost structure vs. industry benchmarks, your early payment discount capture rate, and a working capital optimization roadmap.
What it costs
Fixed-price, agreed before any code is written. Engagements run $10K–$150K depending on scope — most firms start with a single document workflow at the lower end, and the audit that precedes it is free.
Our approach
From manual to automated
- 01Map the document journey
We map every step from client onboarding to the decision the data supports — the context your pipeline must carry.
- 02Build the pipeline
OCR + classification + schema-based LLM extraction + RAG grounding, tuned to your document types.
- 03Tune accuracy with human-in-the-loop
We validate against real documents and route exceptions to review until accuracy meets your bar.
- 04Integrate & run
Straight-through processing where confidence is high, written into your ERP/DMS/accounting stack with audit trails.
Why a custom build beats off-the-shelf
- A context-carrying "chain of thought", not stateless one-off chats that forget every session.
- Extraction tuned to your taxonomy and document types — not a generic template.
- Runs inside your environment with access controls — built for NDA and compliance requirements.
- Every field is traceable to its source document, so output is audit-ready.
Frequently asked questions
Isn’t this just ChatGPT for documents?
No. Chatting with an AI handles one file at a time and forgets context when the session ends. We build context-carrying pipelines that span a client’s entire data journey, so the system understands the situation, not just the page in front of it — and it scales to thousands of documents.
Can it handle hundreds of clients and thousands of documents?
Yes — that is exactly the point. Instead of manual chats, documents flow through automated pipelines with classification, extraction, validation, and routing, so volume becomes a strength rather than a bottleneck.
How accurate is it, and can we trust the output?
We extract against a defined schema, ground every field in the source document with RAG for traceability, and route low-confidence items to human review. Accuracy improves as the system sees more of your documents.
Our documents are confidential — how is that handled?
Pipelines run inside your environment with role-based access and audit trails; sensitive documents never leave systems you control. We routinely work under NDA.
Which industries have you done this for?
Legal, financial services, insurance, accounting, pharma, research, and patent review — among others. The same pipeline patterns apply across document-heavy industries.
What does it cost?
Engagements are fixed-price and scoped to the outcome. Every engagement is fixed-price, with the success metrics and the price agreed before any code is written. Book a discovery call for a clear price and ROI estimate.
Related use cases & services
Ready to put Document Processing & Intelligence to work?
15 minutes to see if this is worth building for you — no pressure if it isn't.
Book a Discovery Call.