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.
of the average workday spent on non-strategic document tasks
Document processing flow
Before vs. afterIncoming documents
AI Processing
Marcus extracts, classifies, summarizes
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
Extract vendor, amount, line items, and payment terms from invoices in any format. Route to approval queues with data already validated.
Contract Review
Identify key clauses, flag unusual terms, extract parties and dates. Get a structured summary instead of reading every page.
Report Compilation
Pull data from spreadsheets, PDFs, and presentations into a single structured report. Weekly summaries that used to take half a day.
Email Attachment Processing
Scan inbound email attachments, extract relevant data, and route to the right workflow. No more opening every PDF manually.
Compliance Documents
Monitor regulatory filings, track expiration dates, and flag missing documents before they become a problem.
Marcus processes 47 documents
Extracted, classified, and summarized overnight
Lands in your review queue
Spot-check extractions. Correct any errors. Approve.
Verified data enters your systems
Clean, structured data flows to accounting, CRM, or storage
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.
Getting started
Five steps to automated document processing
Start small, calibrate fast, and expand once you trust the output.
Audit your document volume
Count how many documents your team processes per week. Most businesses underestimate by 40%.
Start with one document type
Invoices are the most common starting point — they have predictable structure and clear success metrics.
Define what needs extracting
Specify the fields you need: vendor name, amount, due date, line items. The more specific, the faster calibration.
Review and calibrate
Check the first batch carefully. Your feedback trains the system — most teams hit 90%+ accuracy within two weeks.
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
Your team
Meet your future team
AI employees ready to start today — at a fraction of the cost.
Frequently asked questions
What types of documents can SendToTeam process?
How accurate is AI document processing?
Can SendToTeam handle sensitive or confidential documents?
How is this different from traditional OCR?
Explore more
AI Invoice Processing
Automate invoice data extraction, validation, and routing to cut accounts payable processing time by 60-80%.
Read moreAI Data Entry Automation
Eliminate manual data entry with AI that reads, extracts, and enters data across your business systems.
Read moreAI Report Generation
Compile data from multiple sources into structured reports — weekly summaries, board updates, and more.
Read moreDisclosure
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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