How we helped organizations modernize, scale, and optimize the systems their business depends on.
We designed and implemented a large-scale enterprise data platform, transforming 2 million decentralized physical records into secure digital assets. By executing an industrial-scale digitization workflow and integrating structured metadata into the OnBase ECM platform, we reduced document retrieval times from days to seconds.
A leading academic institution in South America was struggling under the weight of its own history. They were managing over 2 million physical academic records stored across multiple decentralized archives. The operational cost of manual document retrieval was unsustainable, and the physical degradation of these critical historical records posed a serious institutional risk. Because the documentation was entirely fragmented and non-searchable, the institution suffered from severe operational bottlenecks and lacked the strict auditability and access controls required by modern data governance standards.
We didn’t just scan documents; we engineered an industrial-scale data transformation process. We began by implementing a high-volume digitization factory workflow to handle the massive physical load safely. However, the real value of an archive is searchability. To achieve this, we designed a rigorous, structured metadata and indexing framework. Once the data was structured, we seamlessly integrated the newly digitized assets directly into the OnBase Enterprise Content Management (ECM) platform, creating a single, centralized source of truth for the entire institution.
If you’re planning an Oracle modernization or a new platform, the hard part is usually not the code. It’s the dependencies, the trade-offs, and the order in which things need to happen. That’s the conversation we should have first.
