Siav.AI

The AI platform that turns documents into active business assets

In this page

Overview
Key Features
AI-powered virtual assistant
Benefits
Available Integrations
Solutions Enabled
FAQ

Siav.AI is Siav’s Document AI platform, designed to bring Artificial Intelligence where it truly creates value: within documents and the processes that run through them.

It enhances the document ecosystem by transforming the information contained in documents into usable knowledge and automation-ready action.

Siav.AI enables a concrete evolution — from Document Management to Document Intelligence — where content is understood, interpreted and leveraged to support people’s work and make processes faster, more accurate and more intelligent.

Overview

Siav.AI is a cloud-native platform, built on a microservices architecture, delivering Document AI services that can be used natively within Siav solutions or accessed via APIs.

The platform is designed to:

analyze large volumes of structured and unstructured documents
understand informational content and contextual relationships
transform documents into actionable information for business processes
enable intelligent automation and support operational decision-making

Siav.AI adopts a best-of-breed approach, selecting the most effective AI models — whether general-purpose LLMs or specialized models — while ensuring full control over data, model execution and results.

Key Features

Intelligent Document Processing

-Automatic Document Classification
-Structured Data Extraction
-Intelligent data recognition and validation
-Sensitive Data Detection

Advanced Content Intelligence

-Semantic content analysis
-Context-aware search
-Automated document summarization
-Intelligent metadata enrichment

Conversational AI & Knowledge Access

-Sophia, the integrated intelligent assistants
-Natural language interaction with corporate documents
-Source-cited answers based on official documentation

Autonomous Process Execution

-Automatic Document Registration
-AI-driven routing and workflow orchestration
-Automatic Document Generation
-Autonomous process activation through Agentic AI

Open & Integrable AI Platform

-Native integration with Siav Solutions
-Comprehensive REST APIs for enterprise integration
-Best-of-breed AI model selection
-Seamless integration with third-party systems

AI Governance & Data Sovereignty

-Full customer data ownership
-No use of content to train public AI models
-Tenant-by-design data segregation
-Flexible deployment: Cloud, Siav data centers, or on-premises

AI-powered virtual assistant

Through the “Ask Sophia” feature, users can engage with corporate documents in natural language, receiving accurate, source-based answers as if consulting a trusted expert.

Benefits

Instant Access to Trusted Knowledge

AI specialized in document intelligence, enabling natural language interaction and eliminating manual searches through source-based answers.

Higher Productivity & Operational Efficiency

Intelligent automation of repetitive, document-centric tasks reduces errors and accelerates everyday work.

Seamless Integration & Scalable Architecture

API-first by design, enabling smooth integration with existing enterprise systems and flexible deployment models.

Governed, Secure & Sovereign AI

Customer data remains under full ownership, never used to train public AI models, ensuring compliance and policy-driven control.

Available Integrations

Siav.AI is natively integrated with:

Archiflow NOVA, enhancing document management and workflow capabilities
Siav Connect, as a native AI service embedded within the platform

It can also be accessed through REST APIs to integrate with::

third-party enterprise systems
custom-built vertical applications
complex digital and multi-system ecosystem

Solutions Enabled

Siav.AI enables and enhances a wide range of application scenarios

Intelligent Search and Document Knowledge Management

Through RAG technology and the intelligent assistant Sophia, users can query the corporate archive in natural language, receive answers grounded in official documents with source citation, and unlock the distributed knowledge stored across document systems.

Automated Document Registration and Classification

Leveraging Automatic Document Classification and Registration capabilities, the system identifies document type and content, extracts key metadata, and automatically initiates filing, routing and workflows — reducing manual effort, errors and processing time.

AI-Driven Document Solutions for Finance, HR and Compliance

Empower core business processes through advanced Document AI capabilities — from intelligent content analysis to automated execution — delivering greater efficiency, full traceability and compliance by design.

FAQ

Find answers to the most frequently asked questions about Siav.AI.

Is Siav.AI just a chatbot?

No. Siav.AI is a Document Intelligence platform built to understand, analyze and activate documents within business processes — going far beyond conversational AI.

Can Siav.AI be used independently of Siav solutions?

Yes. Although it is seamlessly integrated into Siav platforms, Siav.AI is also available as a standalone AI service, accessible via REST APIs and integrable into third-party systems and applications.

What activities can Siav.AI automate in practice?

Siav.AI automates Automatic Document Classification, Information Extraction, Document Registration, Document Generation, Sensitive Data Detection, and workflow activation through Agentic AI — reducing manual effort and accelerating document-driven processes.

Are customer data used to train public models?

No. Customer data always remains under full ownership and control and is never used to train public AI models.

How does Siav.AI ensure regulatory compliance?

Siav.AI operates within the Siav ecosystem, where regulatory aspects related to document management and data protection are continuously governed, with updates and adaptations implemented whenever required to ensure ongoing compliance.

Is it possible to customize the AI models?

Yes. Siav.AI adopts a best-of-breed approach, selecting and configuring general-purpose or specialized models — including locally deployed models — to align with each Customer’s specific business requirements and use cases.