We build AI document processing systems that read invoices, applications, contracts, claims, and PDFs, extract the data you need, validate it, and push it into your systems, with human review for anything the AI is unsure about.
We are a software development firm first, not a prompt shop. Every automation starts with mapping how the work actually gets done today, gets built on production-grade infrastructure, and ships with monitoring, documentation, and a team that maintains it. You own the code, the workflows, and the data, and we never take your IP.
AI document processing, sometimes called intelligent document processing, uses AI models to understand documents the way a person would: reading layouts, tables, handwriting, and free text, then turning them into structured data. Unlike older OCR templates, it handles new formats without being reprogrammed for each one.
If your team retypes information from documents into another system, that work can usually be automated with review steps that keep accuracy high.
Extract vendor, amounts, line items, and due dates, match them to purchase orders, and send them to your accounting system for approval.
Read insurance, loan, or customer applications, check for missing fields, and create records ready for underwriting or review.
Pull key terms, dates, renewal clauses, and obligations into a searchable tracker, and flag unusual language for legal review.
Classify claim packets, extract relevant details, and route them to the right adjuster with a summary attached.
Turn statements and financial documents into structured data for reconciliation, underwriting, or reporting.
Automatically detect, sort, and process documents that arrive by email, so nothing sits unopened in an inbox.
We deliver extracted data wherever it needs to go: QuickBooks, Xero, NetSuite, Salesforce, HubSpot, policy administration systems, databases, spreadsheets, or your own application through an API.
Document processing is often one step in a larger AI workflow automation. See how we apply it for insurance and fintech teams, or browse all AI automation services.
Bad CRM data costs money and trust. Learn why CRM records decay and which fixes automation handles, from logging to dedupe, and which still need people.
When AI or a complex model denies credit, ECOA and Regulation B still require specific, accurate reasons. What the rules say and what changed in 2025.
What Google Cloud's 2025 survey and Zendesk's 2026 CX Trends data actually show about AI customer-service deployment, ROI, and the maturity gap.
Accuracy depends on document quality and variety. We measure it on your own documents before launch, and route low-confidence extractions to a person so errors are caught before they reach your systems.
OCR converts images to text. AI document processing understands what the text means, so it can find the right fields in unfamiliar layouts without building a template for every format.
Modern AI models handle scans and many types of handwriting well, though very poor scans may need human review. We test with your real samples to set expectations.
We use model providers and hosting that meet your security requirements, limit data retention, and can process documents inside your own cloud environment when needed.
Our dedicated team provides reliable support around the clock, ensuring that your project receives the attention it deserves with prioritized responses and timely deliveries. Talk with our team about our tailored solutions we have available at (804) 504-1084
Copyright Lean Discovery Group. 2022, All Rights Reserved.
