Workflow & Business Process Automation

Intelligent Document Processing (IDP)

Invoices, claims, contracts, and intake forms rarely arrive in a clean, consistent format, which is exactly why manual data entry from documents remains one of the most expensive, error-prone tasks in most back offices. This service builds an AI-powered extraction pipeline that reads unstructured or semi-structured documents (PDFs, scans, faxes, handwritten forms) and turns them into structured, validated data ready to flow into a CRM, ERP, or claims system. It's built for teams drowning in document volume where manual keying creates bottlenecks and errors compound downstream, whether that's accounts payable processing invoices, an insurer processing claims, or a legal team intaking contracts. Confidence scoring and exception routing mean low-certainty extractions get flagged for a human rather than silently entering bad data into your systems of record.

This is a capability we deliver for you as a service, not a role we’re hiring for.

How We’d Approach This

A clear, staged plan, not a black box

These are the service-specific steps inside our six-step process.

1
Diagnose document volume, format variety, and current error rates by sampling a real batch of incoming documents.
2
Pilot the extraction pipeline against that sample set, measuring accuracy field by field against a manually verified baseline.
3
Review flagged low-confidence extractions and edge cases with your team to tune thresholds and routing rules.
4
Launch the pipeline into production with exception queues for human review, then monitor extraction accuracy over time.

What You Get

Deliverables from this engagement

Production document-extraction pipeline integrated with your target system
Confidence-scored field extraction with automatic exception routing
Accuracy benchmark report against a manually verified sample
Documented handling rules for each document type and edge case

Six Ways We Could Architect This

Different engagement, different build, pick the shape that fits

There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.

Read all 6 architectures as text

Lean Fast-Start Architecture

Document Intake

Documents Uploaded to Shared Folder
Sample Batch Selected

Basic Extraction

OCR Engine Extracts Text
Template Based Field Extraction
Confidence Score per Field

Manual Review

Confidence Above Threshold
Flagged for Manual Data Entry
Auto Accepted Fields

Output

Corrected Data Entered
Structured Data Exported to Spreadsheet
Accuracy Benchmark Logged
Loaded Into Target System Manually

Cloud-Native / Managed Services Architecture

Managed Intake

Documents Land in Cloud Storage Bucket
Managed Document AI Service

Managed Extraction Pipeline

Prebuilt Model Extracts Invoice or Form Fields
Confidence Scoring by Managed Service
Validation Rules Engine

Managed Routing

Confidence Above Threshold
Managed Human Review Queue
Auto Validated Record

Managed System Integration

Structured Data Written to Warehouse
Connector Pushes to CRM or ERP
Managed Monitoring Dashboard
Accuracy Trend Report

Event-Driven & Automation-First Architecture

Trigger Layer

Document Arrives via Email or Upload
Event Triggers Processing Queue

Automated Extraction Pipeline

Queue Worker Runs OCR and Extraction Model
Automated Field Validation Rules
Confidence Above Threshold
Auto Route to Exception Queue
Auto Approve Record

Exception Handling

Reviewer Notified via Task Tool
Corrected Record Re Submitted

Automated Integration

Webhook Pushes Record to Target System
Auto Log Processing Result
Volume Spike Detected
Auto Scale Processing Workers

Enterprise-Grade & Compliance-Ready Architecture

Governed Intake

Documents Received via Secure Channel
Access Controlled Storage With Encryption

Controlled Extraction

Extraction Model Processes Document
Field Level Confidence Scoring
Confidence Above Compliance Threshold
Mandatory Human Review

Approval Gate

Auto Validated Record
Reviewer Approves or Corrects
Immutable Audit Trail of Every Decision

Resilience and Compliance

Data Retention Policy Enforced
Redundant Processing Region
Periodic Accuracy and Compliance Audit
Regulatory Reporting

AI-Augmented, Human-in-the-Loop Architecture

Document Intake

Unstructured Documents Received
AI Extraction Model Processes Document

AI Extraction Engine

Fields Extracted With Confidence Scores
Confidence Above Threshold
Routed to Human Reviewer Exception Queue

Human Approval Gate

Auto Accepted Record
Human Reviewer Verifies and Corrects Fields
Human Confirms Record Accurate

Downstream and Learning

Validated Data Sent to CRM or ERP
Corrections Logged as Training Examples
Exception Trend Dashboard
Extraction Model Periodically Retrained

Integration-Heavy / Ecosystem-Connected Architecture

Document Sources

Email Inbox
Intake and Extraction Pipeline
Scanned Mail via Scanner Integration
Vendor Portal Uploads
Fax to Digital Gateway

Processing Hub

Extraction and Confidence Scoring
Exception Queue for Low Confidence Records
Validated Structured Data

Target Systems

ERP Accounts Payable Module
CRM Record Update
Claims Management System

Monitoring and Reporting

Processing Analytics Dashboard
Slack Alert on Processing Errors

Ready to get started?

Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.

Talk to us about Intelligent Document Processing (IDP)

Most engagements like this start as a $500–$2,500 pilot, see full pricing.