AI-Docs

The platform that turns information into measurable value

AI-Docs is a cutting-edge platform that leverages AI technologies and models to deliver integrated solutions and accelerate the development of new applications.

AI-Docs consists of modular components that can be assembled to act as an accelerator for AI-driven solutions focused on data management, control and governance. It mitigates privacy and security risks through on-premise integration within corporate systems.
AI-Docs can also be integrated – either as a stand-alone solution or within specific projects – into Enterprise Content Management and Business Process Management platforms such as Docsweb (insert link) and AgileSign (insert link). In doing so, it unlocks their full potential, optimising business processes and enhancing overall operational performance.

AI-Docs enables organisations to:

  • Maximise the value of their information assets
  • Automate decision-making processes
  • Maintain full control over their data in an intelligent and compliant manner, aligned with GDPR and the AI Act

 

Havant is also the first Italian company to obtain ISO/IEC 42001 certification, the first international standard for Artificial Intelligence management systems.

AI-Docs Key Advantages
Automated Information Extraction
Automated Information Extraction

Including metadata extraction, enabling 360° access to corporate document assets.

Semantic understanding
Semantic understanding

AI-Docs extracts not only keywords but also contextual meaning from both structured and unstructured documents.

Chat with your documents
Chat with your documents

More effective and faster collaboration through direct interaction with one or multiple documents.

Generative AI capabilities
Generative AI capabilities

Rapid creation of new content and documents based on models, templates and historical document archives

Agentic AI for more efficient processes

Autonomous agents capable of analysing, understanding, planning and executing tasks

Discover the core of AI-Docs
Cooperative architecture

Built on modular, purpose-designed components that facilitate the creation of tailored solutions while maximising platform effectiveness

Data Ingestion

Acquires, pre-processes and standardises data sources and documents through multiple input methods to enhance usability

Text, value and psycholinguistic analysis

Extracts meaning, analyses value dimensions and identifies psycholinguistic patterns

Machine learning

Trains, selects and optimises automated learning models

Tagging & Validation

Labels and validates data to ensure accuracy and quality

RAG system (Retrieval-Augmented Generation)

Combines advanced search capabilities with response generation to enable effective interaction with data

Multilingual capabilities

Manages document translation and linguistic adaptation

Monitoring & logging

Ensures traceability and diagnostics by recording operations and activities

User interface

Intuitive and easy to configure and manage

APIs & integration

Simplifies communication with external systems through REST APIs and connectors