Document Processing

Your documents, processed. While you do real work.

AI-powered extraction, classification, and summarization for invoices, contracts, and reports. You review the output — not every page.

Free to start. No credit card required.

The problem

1.8 hours per day, buried in documents.

McKinsey research found that knowledge workers spend an average of 1.8 hours every day searching for and gathering information from documents. That is nearly 25% of the workday spent on tasks that require no strategic thinking — just reading, copying, and re-entering data.

Invoices pile up. Contracts sit unreviewed. Reports pull data from six different sources and take half a day to compile. The work is not hard — it is just relentless, and it keeps your team from the work that actually moves the business forward.

25%

of the average workday spent on non-strategic document tasks

Document processing flow

Before vs. after

Incoming documents

Invoice-2847.pdf
Q4-Contract.docx
Vendor-Report.pdf
NDA-Signed.pdf
M

AI Processing

Marcus extracts, classifies, summarizes

Processing
Extract
Classify
Summarize

Structured data

Vendor

Acme Corp

Amount

$4,250.00

Due Date

2026-03-28

Type

Invoice

How it works

Four capabilities. One workflow.

AI document processing goes beyond scanning. It reads, understands, extracts, and organizes — so you do not have to.

Natural Language Understanding

Reads meaning, not just characters

Understands that "Net 30" means payment terms, "notwithstanding" signals a carve-out, and "effective immediately" sets a date. Context-aware parsing that works the way a person reads.

Data Extraction

Pulls specific fields automatically

Vendor names, invoice amounts, due dates, line items, contract parties, effective dates — extracted into structured fields ready for your systems.

Document Classification

Sorts by type automatically

Routes invoices to accounts payable, contracts to legal review, correspondence to the right team. No manual sorting, no mislabeled folders.

Summarization

Key points at a glance

Long contracts become structured briefs. Multi-page reports become executive summaries. You read the signal, skip the noise.

Use cases

Documents your AI employee handles

Real document types, real time savings. Every output reviewed by you before it enters your systems.

Invoice Processing

60-80% time reduction

Extract vendor, amount, line items, and payment terms from invoices in any format. Route to approval queues with data already validated.

Contract Review

Minutes vs 30 pages

Identify key clauses, flag unusual terms, extract parties and dates. Get a structured summary instead of reading every page.

Report Compilation

Multiple sources, one report

Pull data from spreadsheets, PDFs, and presentations into a single structured report. Weekly summaries that used to take half a day.

Email Attachment Processing

Auto-extract and route

Scan inbound email attachments, extract relevant data, and route to the right workflow. No more opening every PDF manually.

Compliance Documents

Track and flag missing items

Monitor regulatory filings, track expiration dates, and flag missing documents before they become a problem.

Marcus processes 47 documents

Extracted, classified, and summarized overnight

Verified data enters your systems

Clean, structured data flows to accounting, CRM, or storage

Approved

Human-in-the-loop

AI extracts. You verify.

A misread invoice number means a wrong payment. An overlooked contract clause means unexpected liability. Document errors have real financial consequences — which is why fully autonomous processing is a risk most businesses cannot afford.

SendToTeam gives you the speed of automation with the safety net of human judgment. Marcus processes the volume. You verify the results. And every correction you make improves accuracy for the next batch — the system learns your specific documents over time.

Every extraction reviewed before entering your systems
Corrections improve future accuracy automatically
Confidence scores flag items that need closer attention

Getting started

Five steps to automated document processing

Start small, calibrate fast, and expand once you trust the output.

1

Audit your document volume

Count how many documents your team processes per week. Most businesses underestimate by 40%.

2

Start with one document type

Invoices are the most common starting point — they have predictable structure and clear success metrics.

3

Define what needs extracting

Specify the fields you need: vendor name, amount, due date, line items. The more specific, the faster calibration.

4

Review and calibrate

Check the first batch carefully. Your feedback trains the system — most teams hit 90%+ accuracy within two weeks.

5

Expand to additional document types

Once invoices run smoothly, add contracts, reports, or compliance documents. Each new type calibrates faster than the last.

Accuracy

Built to get better with every batch

85-95%

Initial accuracy

For standard business documents like invoices and contracts

95%+

After calibration

With your feedback improving extraction rules over time

2 weeks

To peak accuracy

Typical time for a new document type to reach full performance

Frequently asked questions

What types of documents can SendToTeam process?
SendToTeam handles PDFs, Word documents, scanned images (via OCR), spreadsheets, email attachments, and most standard business document formats. This includes invoices, contracts, reports, correspondence, compliance filings, and more. If your team can read it, Marcus can process it.
How accurate is AI document processing?
Initial accuracy for standard business documents (invoices, contracts with consistent formatting) is typically 85-95%. With your feedback and calibration, most teams reach 95%+ accuracy within two weeks. Complex or handwritten documents may start lower and improve as the system learns your specific document types.
Can SendToTeam handle sensitive or confidential documents?
Yes. Documents are processed with enterprise-grade encryption in transit and at rest. Your data is never used to train models for other customers. You control access permissions, and all processing stays within your account boundary. For industries with specific compliance requirements (HIPAA, SOC 2), contact us for details on our security posture.
How is this different from traditional OCR?
Traditional OCR converts images to text — it reads characters but does not understand meaning. SendToTeam uses natural language understanding on top of OCR. It knows that '$4,250.00' on an invoice is the total amount, not just a number. It understands that 'Net 30' means a payment deadline, not a product name. The difference is between reading and comprehending.

Disclosure

SendToTeam is our product. This page describes how businesses use AI employees for document processing based on our platform's capabilities. Accuracy figures represent typical ranges observed during testing and early access; your results may vary depending on document complexity and volume. We encourage you to evaluate whether AI document processing fits your specific workflow.

Last updated: February 28, 2026

Stop processing documents manually

Your AI employee handles the extraction. You handle the decisions.

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