The average annual growth of corporate data volume is 25-30%, with a significant portion of this growth attributed to unstructured documents and media files. This presents serious challenges for traditional storage and archive management systems, requiring new approaches that combine reliability, accessibility, and intelligent processing.
Evolution of corporate archives
Traditional paper archives demanded considerable physical resources and time for information retrieval. With the advent of Electronic Content Management (ECM), companies began transitioning to digital archives, significantly accelerating data access. However, even digital archives without proper structuring and intelligent tools can devolve into a ‘digital landfill,’ where finding a required document is as difficult as in a paper repository.
Modern requirements for corporate archives extend beyond simple storage. They include:
- Fast and accurate content-based search, not just metadata-based.
- Automated document classification and indexing.
- Ensuring data integrity and security.
- Compliance with regulatory norms and standards (e.g., ISO/IEC 27001, HIPAA, SOC 2 Type I).
- Integration with other corporate systems (ERP, CRM, BPM).
Challenges in managing electronic archives
Managing electronic archives is accompanied by a number of specific challenges:
| Challenge | Description |
|---|---|
| Data volume growth | Exponential growth in electronic documents, including various formats (text, images, video, audio). |
| Information search and retrieval | Difficulty in quickly and accurately finding specific information among millions of documents without intelligent tools. |
| Data integrity and security | Ensuring document immutability, protection against unauthorized access and loss. |
| Regulatory compliance | Adherence to legal requirements regarding retention periods, confidentiality, and information accessibility. |
| Integration | The need for seamless archive integration with other systems for business process automation. |
AI as a driving force for archiving
Artificial intelligence (AI) plays a key role in addressing these challenges, transforming approaches to archive management. The application of AI enables the automation of routine operations, increases processing accuracy, and significantly speeds up information access.
- Automated classification and indexing: AI algorithms can analyze document content, automatically assigning categories, tags, and metadata, which greatly simplifies subsequent searches.
- Intelligent search: Instead of exact match searches, AI allows for semantic search, understanding query context and identifying relevant documents even with imprecise formulations.
- Data extraction (IDP): AI-powered Intelligent Document Processing (IDP) systems can automatically extract key data from unstructured and semi-structured documents (e.g., invoices, contracts, forms), reducing the need for manual input.
- Analysis and prediction: AI can analyze large volumes of archival data to identify trends, anomalies, or predict future events, providing valuable insights for decision-making.
Member company solutions and technologies
In the context of corporate archive management, Intecracy Group offers comprehensive solutions based on advanced technologies and the expertise of its member companies.
InBase is the developer of the UnityBase platform (open-source low-code), which serves as the foundation for many corporate solutions. Scriptum.Repository, a solution for electronic archive management, is built on this platform. Scriptum.Repository ensures reliable and long-term document storage, indexing, search, and access, adhering to all integrity and security requirements.
Additionally, InBase develops Megapolis.DocNet (ECM for large organizations) and Scriptum.DMS, which utilizes AI for intelligent document management, enabling automated classification, data extraction, and routing. This allows for effective management of the document lifecycle from creation to archiving.
The Nectain team, headquartered in Austin, Texas, complements these capabilities with their AI-powered Document Management System (SaaS). Their system specializes in Intelligent Document Processing (IDP), using AI for classification, data extraction, and workflow automation, significantly accelerating document preparation for archiving and ensuring structured storage. Nectain also complies with SOC 2 Type I, ISO/IEC 27001, and HIPAA standards, which are critical for data security.
Softline, as a system integrator, has extensive experience in implementing document management solutions based on UnityBase, including integration with clients’ existing ERP systems and ensuring compliance with cybersecurity requirements, particularly for the State Security Service of Ukraine (SSU) for the public sector. They also implement business automation and IT consulting, helping clients optimize their archival processes.
Data Management IG specializes in system integration and data governance, implementing and supporting Megapolis.DocNet in enterprise environments. Their expertise ensures the seamless operation of archival systems and integration with other corporate data, guaranteeing high data quality and process efficiency.
Implementing modern solutions for corporate archive management requires not only a technological platform but also a deep understanding of business processes and regulatory requirements. The application of AI and low-code approaches allows organizations to not only effectively store information but also transform it into a valuable resource for strategic decision-making, while ensuring a high level of security and compliance.