Can AI analyzeBusiness Documents
Custom AI tools parse invoices, contracts, and reports at scale. IRPR ships working document analysis systems you own.
IRPR builds custom AI systems that analyze business documents—invoices, POs, contracts, HR forms, and emails. We use large language models like GPT-4o and Claude, plus OCR tools like AWS Textract and Google Document AI, to extract fields, classify documents, and summarize content.
A typical document analysis system ships in 8-12 weeks for a fixed price of $80K-$250K. You get a production-ready pipeline with 99.9% accuracy on your document types, plus SOC 2 and HIPAA compliance if needed.
Finance teams hire us to automate invoice processing and cut data entry by 70%. Legal firms use us for contract clause extraction. Logistics companies have us parse bills of lading to update ERPs.
Types of software we ship.
Invoice processing AI
Extracts line items, vendor names, and totals from invoices. Integrates with QuickBooks or NetSuite for auto-posting.
Contract analysis AI
Identifies clauses, obligations, and renewal dates from legal contracts. Uses spaCy or LexNLP for legal entity extraction.
Receipt scanner AI
Captures merchant name, date, amount, and category from receipt photos. Exports directly to Expensify or Xero.
ID card parser AI
Extracts name, DOB, address, and ID number from driver's licenses and passports. Supports HIPAA-compliant identity verification workflows.
Report summarizer AI
Condenses lengthy business reports into bullet-point summaries with key metrics. Powered by fine-tuned GPT-4o with custom prompts.
Email classification AI
Categorizes inbound emails into support, billing, or sales queues and extracts key details. Connects to Zendesk or Salesforce.
Form field extraction AI
Reads handwritten or typed fields from PDF forms and populates databases. Uses Google Document AI for high-accuracy OCR on messy scans.
Handwriting recognition AI
Converts handwritten notes from patient forms or field inspections into structured digital records. Deployed on edge devices with TensorFlow Lite.
We build for every business type.
Finance & Accounting
Legal & Compliance
Logistics & Supply Chain
Healthcare
Retail & Ecommerce
What Can AI Really Analyze?
Business documents are no longer a blind spot for automation.
IRPR deploys AI that parses structured and unstructured documents alike. Our systems achieve over 95% field extraction accuracy on day one, thanks to hybrid models combining LLMs with traditional OCR.
We fine-tune models on your specific document types, so accuracy climbs to 99% within the first month of production use. This isn't generic AI—it's trained on your invoices, your contracts, your reports.
Why Not Use Off-the-Shelf Tools?
Generic document AI fails on messy real-world documents.
Off-the-shelf tools like Amazon Textract or Google Document AI work great on clean scans, but business documents are rarely clean. Handwritten notes, multi-page tables, and non-standard layouts break standard models. IRPR builds custom pre-processing pipelines that handle skewed scans, low-resolution faxes, and mixed languages.
Every project includes a document forensics phase where we analyze your actual documents—all 500 or 50,000—and engineer a solution that works on your worst samples, not just the average.
- Charges by the hour with no cap
- Uses only off-the-shelf OCR APIs
- No document forensics on your data
- Requires 6+ months to ship
- No HIPAA or SOC 2 compliance
- Delivers code, not peace of mind
- Fixed price from a detailed roadmap
- Blends LLMs, OCR, and custom models
- Analyzes 500+ of your documents before coding
- Ships in 8-12 weeks, not 6 months
- HIPAA, SOC 2, PCI-DSS compliance built in
- Hands you the keys to your own AI system
How Fast Can You Get a Document AI Built?
Eight weeks from idea to working product.
The timeline is predictable because we follow a phased approach after the discovery call. You don't wait months for a prototype. By week 4, you see a working MVP with your documents.
By week 8, you have a production-grade pipeline with monitoring, error handling, and API endpoints. We've done this for 200+ products across 50+ countries, so the path is well-worn.
What Ships at Launch?
Every document AI project includes these deliverables.
You're not just buying code; you're buying a complete system with documentation and support. IRPR hands over everything you need to run, extend, and audit the system yourself. No vendor lock-in, no hidden fees, no subscription—just a working product.
- Custom AI model trained on your documents
- API endpoints for extraction and classification
- Web dashboard for reviewing results
- Confidence scores for every extraction
- Alerting system for low-confidence fields
- Integration with your ERP/CRM (e.g., NetSuite, Salesforce)
- Source code in your Git repository
- CI/CD pipeline on GitHub Actions
- Sentry error tracking and monitoring
- Documentation and runbook for your team
What we ship in this practice.
Automated Invoice Processing for a Mid-Size Manufacturer
Cut invoice processing time from 4 days to 2 hours by extracting PO numbers, line items, and totals from 2,000 monthly invoices. Tech stack: AWS Textract, GPT-4o, QuickBooks API.
Contract Clause Detection for a Law Firm
Reduced contract review time by 60% with an AI that flags renewal clauses, indemnification, and liability limits across 50,000 legacy PDFs. Tech stack: Anthropic Claude, Python, Azure OCR.
Patient Form Digitization at a Hospital Chain
Eliminated 20 hours/week of manual data entry by converting handwritten patient intake forms into structured EHR data, with HIPAA compliance on every scan. Tech stack: Google Document AI, Next.js, HL7 FHIR.
Customs Document Parsing for a Logistics Company
Automated bill of lading extraction for 5,000 daily shipments, cutting customs delays by 35% and reducing manual errors to near zero. Tech stack: Python, AWS Lambda, proprietary classification model.
Receipt Scanning for an Expense Management Startup
Built a receipt OCR engine that handles 40 languages and categorizes expenses to GL codes with 97% accuracy, processing 100,000 receipts/month. Tech stack: React Native, Node.js, OpenAI API.
Email Ticket Classification for a SaaS Company
Deployed an AI that classifies 10,000 daily support emails into 15 categories and auto-populates Zendesk fields, saving 30 hours/week of manual triage. Tech stack: Cohere, PostgreSQL, Zendesk webhooks.
Why teams hire us.
Fixed Price, No Surprises
Every document analysis project gets a fixed quote after we study 500+ of your actual documents in the Roadmap phase. You know the total cost before we write a single line of code—no hourly billing, no scope creep charges.
Own Your AI, Not Rent It
IRPR delivers the full source code and trained model weights to your repo. You own the IP, you run it on your cloud or on-prem, you never pay a per-document fee to a vendor.
Accuracy on Messy Documents
We test on your worst scans—wrinkled invoices, blurred IDs, multi-language contracts—not just clean PDFs. Our hybrid LLM+OCR approach achieves 99% field-level accuracy within 4 weeks of training.
8-12 Week Turnaround
We ship production-ready AI in 8-12 weeks because we skip the endless scoping. You provide documents on day one, we start building on day two, and you see a live demo by week 4.
Compliance from Day One
HIPAA, SOC 2, PCI-DSS, FERPA—we build under the compliance framework you need from the first commit. No retrofitting security after the fact.
No Long-Term Lock-In
We set up monitoring, CI/CD, and runbooks so your team can maintain the system independently. After launch, you have 30 days of support, and then it's yours—no required maintenance contract.
Idea → Roadmap → Product → Release.
Every engagement runs through the same four-stage pipeline. Predictable by design.
Questions clients ask first.
Related services and industries.
Ready to build? Let's talk.
30-minute discovery call. No deck. We'll tell you honestly what it takes, how long, and how much.