T7's document AI pipeline turns invoices, POs and receipts into structured, validated, ERP-ready records — with a human-in-the-loop only on exceptions.
Accounts payable teams still key invoices by hand, chase approvals over email and reconcile line items in spreadsheets — losing early-payment discounts and missing duplicates.
Legacy OCR gets the header right and the line items wrong, forcing manual review on every document.
We combine layout-aware OCR with LLM extraction and a rules engine that validates against POs, GRNs and tax rules before anything hits your ERP.
Exceptions route to a review queue with the model's confidence, source snippet and suggested fix — reviewers correct in seconds, and corrections feed continuous improvement.
Postings land in SAP, NetSuite, Oracle or Tally via native connectors with full audit trail.
Invoices arrive by email, portal upload or EDI. We classify document type and route to the right extraction pipeline.
Header + line items extracted with confidence scores, matched against PO/GRN, validated for tax and currency, flagged for duplicates.
Clean records post to the ERP with source PDF attached; exceptions land in the reviewer queue with suggested corrections.
Extract structured data from invoices, forms, IDs and reports with 95%+ accuracy.
Explore serviceAI-native automation that reads, decides and acts across your systems.
Explore serviceProduction-grade GPT, Claude, Gemini and open-source LLMs — grounded in your data.
Explore serviceNative connectors for SAP S/4HANA, SAP ECC, NetSuite, Oracle Fusion, Microsoft Dynamics and Tally. Others via REST or file drop.
We target ≥95% field-level accuracy on line items after the first month of tuning on your document set, with confidence-gated STP.
Full audit trail per document, PII redaction on demand, and residency options (India, EU, US, UAE) for regulated industries.
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