DOCUMENT INTELLIGENCE

Stop paying people to retype what's already on the page.

Contracts, invoices, applications, AI that reads, extracts, and routes information from any document format. Hours of manual entry become seconds.

Why it matters

The case for doing this now.

Most of the data your business depends on lives in documents that weren't designed for machines: PDFs, scanned forms, screenshots, contracts with footnotes that reverse the main clause. The default fix is hiring people to retype it. That cost grows with every new vendor, every new client, every new format.

An IDP system inverts that curve. Once it understands your sources, adding more coverage becomes a software problem instead of a staffing one.

Email attachments
Shared drives
Vendor portals
Uploads
IDP system
ERP
CRM
Billing system
Data warehouse
Intelligent document processing pulls documents from email attachments, shared drives, vendor portals and uploads, and lands extracted data in your ERP, CRM, billing system or data warehouse, not in another spreadsheet. Once it understands your sources, more coverage is a software problem instead of a staffing one.

What’s included

How we ship this.

  1. Source-aware ingestion

    Email attachments, shared drives, vendor portals, and uploads - pulled in on a schedule, deduped, and timestamped.

  2. LLM extraction with structure

    Fields, tables, and clauses extracted into the schema your downstream systems expect - not a wall of unstructured text.

  3. Validation and anomaly flagging

    Confidence scores, cross-checks against historical data, and a human review queue for the cases that don't pass.

  4. Direct routing into your stack

    Extracted data lands in your ERP, CRM, billing system, or data warehouse - not in another spreadsheet.

Data points

The numbers behind the case.

  • 99%

    reduction in data-sourcing cost on a real engagement

    Buzzed - AppAdvisor case study

  • Daily

    automated refresh across thousands of universities

    Buzzed - AppAdvisor case study

  • ~80%

    of enterprise data is unstructured - much of it locked in documents

    Typical rangeIndustry estimate (IDC, Gartner)

  • ~20%

    of knowledge-worker time spent searching for information

    Typical rangeAIIM / McKinsey range

  • 60–80%

    typical reduction in document processing time after IDP rollout

    Typical rangeWhat we've seen

  • 1–4%

    manual data-entry error rate replaced by validated extraction

    Typical rangeIndustry benchmarks

Sources are linked beneath each number. Items marked typical range come from our own engagements rather than a published study.

Where this shows up

What this looks like in practice.

AppAdvisor - college admissions platform

Replaced overseas manual data entry with an AI pipeline that finds, parses, and validates university data from PDFs and HTML - 99% cost reduction on data sourcing, with a daily refresh across thousands of schools.

Real engagementRead the case study

A small finance team handling vendor invoices

Inbound invoices auto-extracted, matched to POs, and queued for one-click approval. The two days a month spent on AP reconciliation collapsed to a Friday afternoon review.

Representative engagement

Guides to help you decide

  • Intelligent Document Processing

    Intelligent document processing (IDP) turns PDFs, scans, and emails into checked data. Compare it to OCR, see how review queues work, and decide build vs buy.

  • BOL and POD Automation

    Automate bill of lading and POD processing with AI: which fields to extract, how to match documents to loads in your TMS, flag OS&D, and release billing.

  • Automate Data Entry

    How to automate data entry from emails, PDFs, forms, and spreadsheets: integrations first, then OCR and AI extraction with validation and a review queue.

Next step

Scope your first document workflow

Send us the messiest document workflow you have. We'll show you what an automated version looks like and what it would cost to run.

Intelligent Document Processing | Buzzed Technologies