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AI-Assisted Metadata Extraction Proof of Concept (POC)

Abstract Red Lines
Golden Dust

Overview

Organizations receive thousands of files daily — invoices, reports, logs, compliance documents — but most arrive as raw files with no context. This makes it difficult to search, classify, or audit data efficiently.

BayAreaLa8s proposes a 2-week Proof of Concept (POC) using AWS Bedrock Generative AI services to automatically extract metadata and classify files as they land in your S3 storage. This POC demonstrates how AI can add intelligence to your data pipelines, turning unstructured files into business-ready assets.

What We
Offer

01

POC Scope

The POC will deliver an end-to-end automated flow:

  1. File Arrival

    • Partner uploads file (CSV, JSON, PDF, or TXT) to Amazon S3.

  2. AI Metadata Extraction (Lambda + AWS Bedrock)

    • Lambda samples the file and sends it to a Bedrock LLM (Claude / Titan).

    • AI auto-classifies file type (e.g., Invoice, Sales Report, Log File).

    • Extracts metadata such as:

      • File type & category

      • Number of records / rows

      • Key business fields (e.g., total amount, customer name, date)

      • Potential sensitivity (PII indicators)

  3. Metadata Storage

    • Metadata stored in DynamoDB (or OpenSearch if search is required).

    • Metadata tags applied back to the file in S3.

  4. Search & Audit

    • Simple API/console to query: “Show me all invoices from ACME in August”.

03

Deliverables

At the end of the POC, BayAreaLa8s will deliver:

  • A working AWS environment with:

    • S3 input bucket

    • AI-powered Lambda for metadata extraction

    • DynamoDB table / OpenSearch index with searchable metadata

  • Demo Partner Flow (end-to-end test with sample files)

  • Architecture Diagram + Implementation Documentation

  • Knowledge Transfer Session (walkthrough + next steps for production rollout)

06

Next Steps

  1. Approve this POC proposal and schedule a discovery call (30 minutes).

  2. BayAreaLa8s provisions the AWS environment and deploys the solution.

  3. Demo session at the end of week 2 with key stakeholders.

  4. Discuss roadmap for scaling into enterprise rollout (multi-region, integration with analytics, and compliance systems).

👉 Let’s get started. This POC can be up and running in under 2 weeks and will showcase the power of AI-driven automation for your file and data workflows.

02

Business Benefits

  • Faster Search & Retrieval – Find files by business meaning, not just file name.

  • Improved Governance & Compliance – Tag sensitive/PII data automatically.

  • Operational Efficiency – Reduce manual tagging and classification efforts.

  • Scalability – Works across all file types and partners with no extra effort.

  • Foundation for AI Data Lake – Enables semantic search, dashboards, and analytics.

04

Timeline & Cost

  • Duration: 2 weeks (10 business days)

  • Cost: $6,000 fixed fee (includes setup, testing, and documentation)

  • POC Model: “Ready-to-Deploy” packaged POC with customization for your environment

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