Darede DocFlow – Intelligent Document Processing

Document-heavy back-office processes — onboarding, claims, invoicing, contracts — quietly consume the largest cost in many operations: teams report over 40 hours per week lost to document queues, 60–80% of analyst time going to manual data entry instead of judgment work, and 3–5% error rates that turn into rework, fines, and compliance risk. Scaling the manual model means scaling headcount linearly, at a cost of R$150k+ per year just to keep the operation running.

Darede DocFlow replaces that manual pipeline with a five-stage automated flow: capture (upload, scan, e-mail or API), classification of document type, intelligent extraction of data, business-rule validation (CPF, CNPJ, dates, amounts), and direct ingestion into the buyer's ERP, CRM, or downstream systems. Each incoming document is automatically routed to a specialist AI agent trained for that specific document type — including driver's licenses, national ID documents, passports, proof of address, immigration registration documents, corporate bylaws, and articles of incorporation — delivering specialist-level accuracy at scale. When a new document type appears, the Schema Builder maps its fields and creates the extraction model automatically from a single example, with no development project required, and the model continues learning from every document it processes. Only low-confidence cases (typically under 5%) are routed to human review through an assisted-review interface, and a live console tracks documents processed, average extraction confidence, items in human review, and SLA compliance in real time.

This offering relates to AWS services including Amazon Textract, Amazon Bedrock, AWS Lambda, Amazon S3, and Amazon API Gateway