TechJoint
Insurance Claims Processor
Automated extraction of claim details from PDFs flows into CRM enrichment and adjuster routing — eliminating manual data entry on every claim.
Data & Document Processing
Data and document processing automation uses AI to sort, classify, extract, and organize documents, photos, emails, and records at scale. TechJoint leverages LLM-based and OCR-based extraction architectures to process thousands of pages with controlled vocabulary systems, audit logging, and misclassification handling.
Process Your DocumentsWhat's Included
- AI-powered sorting, classifying, and extracting documents at scale
- Batch processing with cost optimization and audit logging
- Controlled vocabulary systems and misclassification handling
- Google Drive, email, and file system automation
- LLM-based extraction for contextual documents
- OCR-based extraction for standardized forms
- Financial document pipelines (invoices, POs, bank statements)
- CRM data pipeline enrichment
How Does Document Processing Work?
TechJoint follows a four-step process for document processing: assess your document types and volumes, select the right extraction architecture (LLM vs OCR), build the pipeline with cost optimization and audit trails, then validate against edge cases and hand off with full documentation.
01
Document Assessment
Analyze your document types, volumes, and accuracy requirements. We identify the mix of structured and unstructured data your pipeline needs to handle.
02
Architecture Selection
Choose LLM vs OCR extraction based on document structure and failure modes. The right architecture depends on your documents, not a one-size-fits-all approach.
03
Pipeline Build
Deploy batch processing with cost optimization, audit trails, and error handling. Every extraction is logged, every decision is traceable.
04
Validation & Handoff
Test against edge cases, validate accuracy rates, and document the entire system. Your team receives SOPs and monitoring dashboards.
Who Uses This?
Legal Operations Team
Contract analysis, clause extraction, and organized filing across 1,000+ documents with controlled vocabulary and audit trails for compliance.
Accounting Department
Invoice processing, PO matching, and bank statement reconciliation at scale — turning hours of manual work into minutes of automated processing.
Frequently Asked Questions
What's the difference between LLM and OCR extraction?
OCR reads text from images and works best on standardized, high-volume forms. LLMs understand context and relationships, making them ideal for complex documents like contracts and resumes. We select the right tool based on your document types and failure modes.
How much does document processing cost at scale?
Using models like Gemini Flash 2.0, we achieve approximately 6,000 pages for $1. Costs depend on document complexity and accuracy requirements. We optimize batch sizes and model selection to minimize cost while maintaining accuracy.
What accuracy rates do you achieve?
Typically 99%+ on standardized forms via OCR. LLM extraction reaches 95-99% depending on document complexity. We implement controlled vocabulary systems and human-in-the-loop review for edge cases.
Can you process documents from email automatically?
Yes. We build pipelines that monitor inboxes, extract attachments, process documents, and route structured data to your CRM or database — all automatically with audit logging.
How do you handle misclassifications?
We implement controlled vocabulary systems that flag uncertain classifications for human review. Audit logs track every decision, and misclassification rates are monitored with automated alerts.
What types of documents can you process?
Invoices, contracts, bank statements, insurance claims, resumes, legal documents, forms, photos of documents, emails, and virtually any structured or unstructured document type.
Let's Process Your Documents
Tell us about your document types and volumes and we'll show you how AI-powered processing eliminates your biggest bottleneck.
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