Example client: Sterling Logistics · Service: AI Automation & Chatbots
An automated document processing pipeline that extracts, validates, and routes invoice data, reducing manual entry from 6 hours to 15 minutes daily.
Modelled outcomes — the targets we would set and track for a project of this shape.
Sterling Logistics processed 200+ invoices daily across 50 vendors with different formats. Manual data entry consumed 6 hours of staff time per day and had a 12% error rate causing payment delays and vendor disputes.
We built a custom OCR + LLM pipeline that ingests invoices from email and uploads, extracts structured data (line items, totals, PO numbers), validates against existing purchase orders, and pushes approved entries directly into QuickBooks. Flagged anomalies are routed for human review.
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