When an organization operates in a highly regulated environment and produces large volumes of critical documents every day, document management quickly becomes a strategic priority.
ARSIA (Association Regionale de Santé et d’Identification Animales), active in Wallonia, plays a key role in animal health, livestock identification, and traceability. With several hundred employees including scientific experts, veterinarians, laboratory technicians, and administrative staff, ARSIA ensures animal health monitoring, disease prevention, laboratory analysis, and regulatory compliance across the agricultural sector.
Given the growing volume of documents generated through its operations, ARSIA needed a reliable, scalable, and cost-controlled solution to ensure secure storage and efficient accessibility of its data.
The Challenges
ARSIA produces and processes a continuous flow of documents originating from:
The organization needed to securely archive growing volumes of documents by converting them into standardized, easily exploitable PDF formats, ensuring seamless access through multiple internal and business applications, integrating with core systems containing client and veterinary data, and maintaining strict cost control as data volumes expand.
The complexity did not lie only in storage. ARSIA’s business applications contain essential identification data related to livestock holders and veterinary organizations. Any document management platform had to integrate seamlessly into this ecosystem without disrupting operations.
Scalability and flexibility were essential, both functionally and financially.
The solution
To address these challenges, IRIS IMS implemented a solution primarily based on IRISNext.
The project began with the deployment of the standard IRISNext product. Over time, specific modules were developed to meet new functional specifications as ARSIA’s needs evolved.
A key requirement was the integration with ARSIA’s business applications, particularly those containing customer and veterinary identification data. This integration was made possible thanks to the rapid development capabilities of specific modules within plugin-based architecture.
An important success factor was the ability for consultants to develop these modules directly, working in close partnership with ARSIA’s business teams. This collaborative approach enabled progressive integration of IRISNext into ARSIA’s infrastructure over several phases.
Results
Today, IRISNext occupies a central role within ARSIA’s IT landscape.
The platform ensures the centralized storage of all archived documents – whether originating from scanned paper documents or electronically generated files. It provides a structured, secure, and scalable foundation for document governance.
Key outcomes include:
“Thanks to IRISNext, we have been able to interface several business software programs directly with the archiving system, whether via IRISPower Scan jobs, direct application exchanges or automated imports.”
Benoit Flamaxhe
IT Manager
Through progressive implementation and strong collaboration between teams, ARSIA has built a sustainable document management strategy capable of supporting its regulatory responsibilities and evolving digital needs.
“A large number of processes have been streamlined to ensure smooth, intuitive and completely transparent archiving for everyday users.”
Benoit Flamaxhe
IT Manager
Conclusion
This project illustrates a long-term collaboration between client and solution provider, characterized by phased integration and continuous adaptation to evolving functional requirements.
By implementing a scalable and adaptable platform, ARSIA has secured the storage and accessibility of its critical documents while maintaining cost control.
With a robust and scalable document management platform in place, ARSIA is well positioned to explore future enhancements – including AI-powered identification and enrichment of key data elements.
More than a technical deployment, this initiative represents a structural reinforcement of ARSIA’s information governance, securing the data that underpins animal health, traceability, and public confidence.
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