Block-based workflow editor
Prompting, testing, versioning, multi-prompt, cost control
Resume line
Retrieval Augmented Generation (RAG)
Roles and permissions
Security, data transparency
Web
Data Transformer
Decision Maker
Extract Maker (with HTML)
Key / Knowledge Manager
Web Creator
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← Use Case
USE CASE · DOCUMENT INTELLIGENCE
Every document becomes
structured data.
Invoices, contracts, technical sheets, PDF forms, emails with attachments. ARI extracts, normalizes and stores information in a structured way: automatically, with source citation, to the systems you already use.
THE PROBLEM
The document bottleneck
that slows everything down.
Most organizations manage huge volumes of unstructured documents: PDFs from suppliers, contracts from clients, email attachments. Someone must transcribe them manually. Hours of repetitive work, errors, delays.
Classic OCR doesn't understand context; generic AI without validation is inconsistent. ARI solves this with a tested and monitored workflow, providing structured and validated data directly to your systems.
With ARI: every document is a data point. The system interprets the context, extracts the details and validates them before passing them to your ERP or CRM.
01
Classic OCR: captures but doesn't understand
The text is extracted but loses structure and semantic context. "Total amount" and "VAT subtotal" become identical strings.
02
Static rules: fragile by definition
Every layout variation (a different supplier, an updated version of the form) breaks the hardcoded rules and requires manual intervention.
03
Generic AI: without validation, unreliable
LLM models without orchestration give inconsistent results. Without Human In The Loop and confidence scoring, you don't know when the output is wrong.
04
Manual entry: zero scalability
With 100 documents a day it's already a problem. With 1,000 it's impossible without adding headcount. The process doesn't scale.
HOW IT WORKS
From acquisition to storage,
in 5 automatic steps.
Acquisition
The document enters via API, email, upload or trigger from an external system (ERP, CRM, SharePoint).
Contextual Extraction
The Document AI node interprets the context and identifies relevant fields (amounts, dates, items), even with variable layouts.
Normalization
The Data Transformer node normalizes the extracted data into a predefined and consistent data model for your systems.
Validation (Human In The Loop)
If confidence is below the set threshold, a human operator verifies the extraction. The system learns from the correction.
Storage & Action
Structured data is written to the database or sent to the management system via REST API, triggering subsequent actions.
BUILDING BLOCKS USED
The components of this workflow.
01
Document AI / OCR
Intelligent extraction of text, tables and structures from PDFs and images with contextual understanding.
02
Data Transformer
Normalization and mapping of data towards your existing internal data model.
03
Human In The Loop: Human-In-The-Loop
Integrated interface for human validation of uncertain cases, ensuring 100% accuracy.
04
ARIdb
Writing structured data to heterogeneous databases or external systems via generic connectors.
05
ARIdb
Writing to heterogeneous databases: SQL, NoSQL, REST APIs. Native connection with the most common management systems.
EXPECTED RESULTS
What you get in production.
85%
Faster processing
From hours of manual work to a few seconds per document.
−90%
Error reduction
Elimination of transcription errors through AI validation.
100%
Traceability
Every extracted field has a source citation in the document.
∞
Linear scalability
100 or 10,000 documents a day: same workflow, zero rewriting
APPLICATION SECTORS
Who uses Document Automation on ARI.
SETTORE 01
Fintech and Banking
KYC analysis, data extraction from financial statements and automated credit practice management.
SETTORE 02
Insurance
Claims processing, document collection and policy underwriting with automatic data extraction.
SETTORE 03
Manufacturing
Automatic recording of delivery notes, technical sheets and purchase orders directly into the ERP.
SETTORE 04
Legal and Corporate
Contract analysis, classification of legal documents and synthesis of huge document bases.
Do you have a document process to automate?
Show us your concrete case. In 30 minutes we will understand together if and how ARI can transform your documents into structured data.
Want the ready-to-use solution?
ARIdoc →
ARI is the private operational automation suite for enterprises: build your own custom AI workflows, or start right away with ready-to-use vertical products.
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