SFTP - Azure AI Document Intelligence Integration and Automation

Common Integration Use Cases Between SFTP and Azure AI Document Intelligence

1. Secure intake of supplier invoices and extraction for AP automation

Flow: SFTP to Azure AI Document Intelligence

Suppliers upload invoices, credit notes, and supporting PDFs to a secure SFTP folder. Azure AI Document Intelligence extracts invoice number, vendor name, line items, tax, totals, and due dates, then passes structured data to ERP or accounts payable systems for three-way matching and payment approval.

Business value: Reduces manual invoice entry, shortens processing cycles, and improves accuracy while preserving a secure file exchange channel for external vendors.

2. Automated processing of compliance documents from external partners

Flow: SFTP to Azure AI Document Intelligence

Regulatory filings, audit evidence, certificates of insurance, and signed compliance forms are delivered via SFTP from partners, auditors, or service providers. Azure AI Document Intelligence extracts key fields such as document dates, entity names, policy numbers, and expiration dates for compliance tracking and exception handling.

Business value: Supports audit readiness, reduces risk of missed renewals or expired certifications, and creates a searchable record of regulated documents.

3. Secure digitization of customer onboarding packets

Flow: SFTP to Azure AI Document Intelligence

Branch offices, brokers, or third-party onboarding teams place scanned application forms, identity documents, and signed agreements on SFTP. Azure AI Document Intelligence captures applicant details, account information, and signature status, then routes the extracted data to CRM, case management, or onboarding workflows.

Business value: Speeds customer onboarding, reduces rekeying errors, and standardizes intake across distributed teams and external channels.

4. Extraction of shipping and logistics documents for order reconciliation

Flow: SFTP to Azure AI Document Intelligence

Carriers and logistics partners send bills of lading, packing slips, delivery receipts, and customs documents through SFTP. Azure AI Document Intelligence extracts shipment identifiers, quantities, delivery dates, and reference numbers, which are then matched against purchase orders and warehouse records.

Business value: Improves shipment visibility, accelerates dispute resolution, and helps operations teams reconcile orders without manual document review.

5. Secure capture of contract documents for legal and procurement workflows

Flow: SFTP to Azure AI Document Intelligence

External law firms, procurement partners, or vendors deposit signed contracts, amendments, and addenda into SFTP. Azure AI Document Intelligence identifies contract metadata such as parties, effective dates, renewal terms, and obligations, then forwards the data to contract lifecycle management or ECM systems.

Business value: Enables faster contract indexing, improves obligation tracking, and reduces the time legal and procurement teams spend on document triage.

6. Processing of claims, reimbursements, and supporting evidence

Flow: SFTP to Azure AI Document Intelligence

Insurance, healthcare, or employee expense teams receive claims forms, receipts, and supporting documents via SFTP from agents, providers, or employees. Azure AI Document Intelligence extracts claim IDs, amounts, dates, service details, and receipt data for validation and downstream adjudication.

Business value: Lowers claims handling costs, improves turnaround time, and creates a more consistent review process for high-volume document intake.

7. Secure archival and searchable indexing of legacy document batches

Flow: SFTP to Azure AI Document Intelligence

Organizations migrate legacy document archives from secure SFTP locations into Azure AI Document Intelligence to extract metadata from historical forms, statements, and correspondence. The extracted data is then loaded into ECM, DAM, or analytics platforms for indexing and retrieval.

Business value: Makes legacy content searchable, supports records management initiatives, and reduces the effort required to access historical business documents.

8. Bi-directional partner document exchange with validation feedback

Flow: SFTP to Azure AI Document Intelligence and Azure AI Document Intelligence to SFTP

Partners submit documents through SFTP for extraction and validation. After processing, the organization can place exception reports, corrected data files, or approval notifications back onto SFTP for the partner to retrieve. This creates a controlled document exchange loop for vendors, distributors, or service providers.

Business value: Improves collaboration with external parties, reduces email-based document handling, and creates a secure, auditable process for document correction and confirmation.