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LandingAI
@LandingAI
API-first Agentic Document Intelligence platform built for accuracy, reliability, and governance at scale.
参加 December 2017
855 フォロー中    10.1K ファン
Building an immigration financial audit pipeline on Amazon Web Services (AWS). Auditing 6 months of bank statements for one visa applicant takes 2 to 4 hours. Openomi, an audit platform for immigration consultants, does it in 60 seconds. It checks proof of funds against the rules of 10 distinct immigration programs. All of them run under Canada's IRCC. The hard part is program drift. Federal Skilled Worker requires CAD $15,263 across 6 consecutive months. Quebec Skilled Worker requires CAD $3,462 across 3. Canadian Experience Class requires no proof of funds at all. Mixing those rulesets produces false rejections. A Streamlit UI drops statements into S3. A Lambda orchestrator then calls two services in sequence. Agentic Document Extraction (ADE) runs first. ADE Parse converts each statement to markdown, holding multi-column layouts, handwritten notes and branch stamps. ADE Extract returns a typed schema: account holder, balances, currency, and every transaction. An AWS Bedrock Agent takes that JSON and runs the compliance and fraud checks. The core design decision was keeping program rules out of the system prompt. They live in a RAG knowledge base the agent queries before any document gets read. Full write-up, architecture, and source code in the comments.
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