Our News

We were excited to be represented at the recent NPL Management Greece conference by George Tamiolakis, Head of Tech-Enabled Services and R&D.

George had the opportunity to exchange views with local and international field experts in an extremely vivid panel discussion.

We would like to thank the DDC Financial Group for organizing the event.

If you are also interested to hear about the current and future tech trends facilitating debt management, the discussion is now available on YouTube: Adoption of Technology in the Greek Market

The Challenge

Within 2021 Archeiothiki was asked to deliver a project with the below mandate:

• to massively examine a large volume of digitized documents related to a Non-Performing-Loan portfolio,
• to identify the presence of particular documents embedded within bulk digitized pdfs,
• to recategorize particular document categories in a reliably way,
• to isolate and recategorize specific documents identified in clearly defined digital folders,
• to consolidate information from different sources in one Electronic Content Management Platform (ECM) repository.

The request stemmed from a client with a large digital archive that was not digitized to the level of granularity required, resulting in an overall hazy image of the portfolio.

The Solution

Archeiothiki designed and implemented:

1. A sanitization of selected portfolio documents with the utilization of Archeiothiki’s in-house Artificial Intelligence Product Suite. Particular focus was given to document indexing and retrieval, allowing access to the information contained in the portfolio, not previously accessible to the end-user with an accuracy that overall exceeded 95%.

2. A tailor-made solution, developed on ELO, one of the world-leading ECM Suites, particularly for the import of all portfolio documents, in a user-friendly fashion, rendering all crucial information easy to retrieve and process.

A glimpse of the project size:

• οver 100.000 accounts,
• οver 2 million files,
• οver 11 million pages.

A glimpse of the project complexity:

• designing and customizing an end-to-end mechanism for automated categorization and PDF splitting,
• οffering metadata-driven, robust views of the document archive,
• migrating more than 2 million documents matching all accounts and relevant data, deriving from diverse sources,
• implementing a new, more granular but succinct categorization of the processed content,
• creating efficient workflows for the receipt and processing of  future physical and digital documents.

The Outcome

• a quantitative and deeply qualitative portfolio reformation,
• an increased level of granularity,
• a clear and organized view of the portfolio archive,
• a one-stop, smooth UX through the ECM Suite, with a friendly look and feel and consistent navigation experience,
• improved document retrieval timelines to optimize execution of activities,
• fast, targeted user navigation experience,
• the ability to drive strategy, leveraging the contents of the document archive and preventing any misinformed decisions.

With the use of new technologies, we were able to compress a project that would require more than 3,000 man-days of manual work to 45 man-days of development by our AI engineers.

We express our sincerest thanks to all our partners for giving us the opportunity to involve ourselves in such a uniquely complex project and for their invaluable contribution to its successful implementation.