AI Document Processing & Data Extraction
We build an AI document processing pipeline that reads any document — invoices, contracts, receipts, resumes, claims, forms — and extracts the structured data you need, validated + routed to your systems. Replaces manual data entry, eliminates errors, and cuts processing time from hours to seconds. NYC businesses process 10,000s of documents monthly — we automate 95%+ of it.
AI Document Processing & Data Extraction
NYC-built · 7–14 day deploy
Extraction
Human-reviewed
Processing speed
Seconds
Manual entry
Eliminated
How ai document processing & data extraction is used
Real use cases we ship
Concrete applications of ai document processing & data extraction we deploy for NYC businesses. Pick one to start, or stack them as you grow.
Invoice & Receipt Processing (OCR + Extraction)
Every invoice that hits your inbox — PDF, scan, photo — gets parsed automatically. Vendor, invoice #, line items, totals, due date, tax — all extracted, validated against POs, and pushed to QuickBooks / NetSuite as a draft bill. AP team reviews exceptions only, not every invoice.
Contract Analysis & Clause Extraction
AI reads 50-page contracts in seconds and extracts the clauses that matter — termination, renewal, liability, payment terms, IP ownership, non-compete. Flags risky language, compares against your standard playbook, and generates a summary your legal team can act on.
Resume & Application Parsing
For NYC recruiters + HR teams: every resume + application gets parsed into structured candidate data — name, contact, work history, skills, education, certifications. Auto-scored against the job description, routed to your ATS (Greenhouse, Lever, Ashby), and deduped against your database.
Insurance Claim & Form Processing
Claims, intake forms, KYC docs, medical records — AI extracts the structured fields, validates against policy / regulatory rules, flags missing info, and routes to the right workflow. Cycles claim-processing time from days to minutes, with full audit trail for compliance.
How we build it
The 14-day sprint
From kickoff to production in 14 days. Here's exactly how we deploy ai document processing & data extraction — and what you'll see at each step.
Discovery
We audit your document volume + types, sample 50–100 real documents, list the fields to extract, map the validation rules, and confirm the destination systems (QuickBooks, NetSuite, HubSpot, ATS).
Pipeline build
We build the ingestion layer (email, upload, API), configure the OCR + LLM extraction (GPT-4 Vision + Textract), set up the validation rules engine, and wire the destination integrations + exception queue.
Validate
We run 200–500 real documents through the pipeline, measure accuracy per field, tune the prompts + validation rules, and add human-in-the-loop for edge cases. Target: 95%+ straight-through processing by Day 16.
Deploy + tune
We go live in production, monitor the first week of volume, refine the exception handling, and hand over the analytics dashboard + SOP. Your team reviews exceptions only — the AI handles the other 95%+ automatically.
What you get
Deliverables, on day 14
Everything that ships as part of an engagement. No surprise invoices, no hidden fees — these are the assets you walk away with.
Tools we use:
GPT-4 VisionAnthropic ClaudeAWS TextractGoogle Document AIParseurZero ongoing risk
Cancel anytime after implementation
10–14 day deployment
100% engineered, zero team downtime
Monthly tuning
Continuous monitoring & optimization
AI Document Processing & Data Extraction FAQ
Questions we get asked
The most common questions about this service — answered straight, no fluff.
Ready when you are
Let’s build your ai document processing & data extraction — live in 14 days.
Book a free 15-minute NYC AI Audit. We’ll map your workflow, identify the highest-ROI automation, and hand you a one-page opportunity map — no obligation.