Invoices, receipts, forms, contracts, IDs — your team processes thousands of documents manually every month. We build AI pipelines that extract, classify, validate, and route documents automatically. From unstructured file to structured data in seconds.
Your accounts payable team spends 4 hours daily processing invoices. Your HR team manually enters data from resume PDFs. Your legal team reviews contracts line by line. Every document type requires a different process, a different person, and a different validation step. The result: delayed payments, missed deadlines, data entry errors, and a team that hates their job because they are doing robot work.
Average daily time spent on manual document processing per back-office employee. That is 50% of their productive capacity.
Error rate in manual data entry from documents. Each error requires 30 minutes to find, correct, and re-verify.
Average invoice processing time in manual workflows. Suppliers call asking for payment status. Relationships fray.
Of document processing tasks are repetitive and rule-based. Perfect for automation, yet still done by humans.
Your AP inbox has 200+ unread invoices. Payment terms are missed. Early-payment discounts are lost. Suppliers are angry.
Every form, application, and request requires manual data entry into your CRM or ERP. Your team is a data entry service, not a strategic function.
Contracts are in email attachments, SharePoint, and local drives. No one can find the latest version. Compliance audits are a nightmare.
Every document needs manual verification against master data. Is this supplier real? Is this PO valid? Is this amount correct? Hours of cross-referencing.
We catalog every document type, volume, source, and processing step in your operation. We identify the highest-volume, highest-error, highest-delay documents. Deliverable: Document inventory + automation priority matrix + ROI projection.
We train OCR, classification, and extraction models on your actual documents. Not generic templates — your invoices, your forms, your contracts. Deliverable: Trained models + accuracy benchmarks + validation rules.
We build the ingestion, extraction, validation, and routing pipeline. Email attachments, scanned files, uploaded PDFs — all processed automatically. Deliverable: Production pipeline + integration with your CRM/ERP + exception handling.
We monitor accuracy, handle exceptions, and expand to new document types. The system gets better with every document processed. Deliverable: Accuracy reports + model retraining + new document type onboarding.
Tesseract, AWS Textract, Google Document AI, Azure Form Recognizer — chosen based on document types, accuracy requirements, and data residency needs.
Custom LLM-based extraction, classification models, and validation rules trained on your specific document formats and business rules.
S3, Google Drive, SharePoint, Azure Blob, or on-premise storage. Automated archival, retention policies, and compliance tagging.
Direct sync to CRM, ERP, accounting systems, and databases. Real-time or batch depending on your operational requirements.
AI-extracted data with human-in-the-loop validation for edge cases. Most documents process without any human touch. Exceptions are flagged for review.
What took 4 hours now takes 15 minutes. Your team focuses on exceptions, strategy, and customer relationships instead of data entry.
Invoices processed and entered into your ERP on the day of receipt. Payment terms met. Early-payment discounts captured. Supplier relationships improved.
Complete document trails, versioning, and retention policies. Every document is tracked, every extraction is logged, every decision is auditable.
Process 1,000 documents or 100,000 documents with the same team. The system scales without adding headcount.
Track processing costs per document type, accuracy rates, and exception volumes. Optimize the pipeline based on real data.
Every system we build includes role-based access control, audit logging, data encryption at rest and in transit, and compliance with GDPR, SOC 2, and ISO 27001 standards. Your data never trains third-party models. You own the source code, the data, and the deployment.
Your data stays in your infrastructure. No third-party model training. Full data residency control.
Complete audit trails for every automation, decision, and data access. SOC 2 and ISO 27001 aligned.
Role-based access control, SSO integration, and multi-tenant isolation for enterprise environments.
You own 100% of the source code, configurations, and intellectual property. No vendor lock-in.
Personal injury law firm processing 300+ accident claim documents per month. Paralegals spent 25 hours weekly collecting, organizing, and entering medical records, police reports, and insurance documents.
Botpress + WhatsApp + Make + Google Sheets integration for automated document collection. Clients upload documents via WhatsApp. AI classifies, extracts, and routes to the correct case file.
Invoices, receipts, purchase orders, contracts, resumes, medical records, insurance forms, ID documents, bank statements, and custom forms. If it has structure or semi-structure, we can automate it. Even unstructured documents can be processed with LLM-based extraction.
For structured documents (invoices, forms), we achieve 95-99% accuracy with template-based extraction. For semi-structured documents, 85-95% with AI models. For unstructured documents, 75-90% with LLM-based extraction. All systems include human-in-the-loop validation for edge cases and low-confidence extractions.
Yes, with modern OCR and handwriting recognition models. Accuracy depends on handwriting quality, but we typically achieve 80-90% accuracy for clear handwritten forms. For poor-quality scans or complex handwriting, we implement hybrid workflows with human validation.
Documents are processed in your infrastructure or in isolated cloud environments with end-to-end encryption. No document data trains third-party models. We implement PII detection, redaction, and compliance with HIPAA, GDPR, and SOC 2 requirements.
Most clients see ROI within 3-6 months. A team processing 500 documents per month at 4 minutes each costs ~$2,000/month in labor. Automated processing costs ~$200/month in compute. Annual savings: $20,000+ for a single document type. Scale that across 5-10 document types and the ROI compounds.
Absolutely. We integrate with SharePoint, Google Drive, Box, Dropbox, custom DMS, and any system with an API. We also build custom document portals with role-based access, version control, and audit trails.
48-hour document audit. We will catalog your document types, measure your processing costs, and show you exactly what automation looks like for your operation.
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