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    Data, AI & Analytics

    AI Document Processing & Data Extraction

    Turn invoices, forms, IDs, and PDFs into clean data in your systems, without typing.

    Data, AI & Analytics Azure Document IntelligenceGoogle Document AIAWS TextractClaude
    Overview

    What AI Document Processing & Data Extraction includes

    An AI document processing pipeline that reads incoming documents (invoices, purchase orders, applications, intake forms, bills of lading, contracts, and scanned paperwork), extracts the fields you need, validates them against your rules and records, and posts the results into your ERP, CRM, or database. Documents arrive from email, upload portals, or scanners, low-confidence fields are sent to a quick human review queue, and every document is filed with its extracted data for audit.

    Who it's for

    • Teams keying data from PDFs and paper forms
    • Logistics, insurance, healthcare, and finance operations
    • Businesses processing hundreds of documents a week
    Works with
    • Azure Document Intelligence
    • Google Document AI
    • AWS Textract
    • Claude
    • OpenAI
    • SharePoint
    • NetSuite
    • QuickBooks

    Using different software? We build around what you already have whenever it makes sense.

    Key features

    What you get

    Multi-source intake

    Email inboxes, portals, scanners, and shared drives.

    Field extraction

    Header fields, tables, and line items captured accurately.

    Validation rules

    Checks against vendors, customers, POs, and math.

    Human review queue

    Only uncertain fields need a person.

    System posting

    Data written to your ERP, CRM, or database automatically.

    Searchable archive

    Every document stored with its extracted data.

    Before and after

    The problems this solves

    Without it

    • Staff retype data from PDFs all day
    • Typos cause billing and shipping errors
    • Paper backlogs build up at busy times
    • Hiring more people to keep up with volume

    With it

    • Multi-source intake
    • Field extraction
    • Validation rules
    • Human review queue
    How we deliver it

    From first call to fully running

    1. Free discovery call. We learn how your team works today, what tools you use, and what success looks like.

    2. Scope and flat quote. You get a written scope and one all-in price. Nothing starts until you approve it.

    3. Build and integrate. We configure or build the system and connect it to the tools you already use.

    4. Train and launch. Your team is trained on real scenarios, data is migrated, and we go live together.

    5. Support and improve. We monitor, fix, and keep improving the system as your business grows.

    FAQ

    AI Document Processing & Data Extraction questions

    How accurate is AI document extraction?

    Accuracy is high on typed documents and improves with consistent layouts. Every field gets a confidence score, and anything below the threshold goes to a person, so errors are caught before posting.

    Can it read handwriting?

    Modern models handle clear handwriting reasonably well. For critical handwritten fields we route to human review.

    What happens to our documents and data?

    We use enterprise AI services with data protection terms, store documents in your environment where possible, and restrict access to those who need it.