Client Profile

Customer Name: The National Asset Management Agency (NAMA)

Established: 2009

Customer Since: 2017

Sector: Public Sector

The National Asset Management Agency (NAMA) is a state body established by the Government of Ireland in 2009 in response to the global financial crisis which emerged over the course of 2008 and early 2009.  Its mandate included acquiring distressed loans, maximising asset recovery, and facilitating economic development. In the years since, NAMA has played a vital role in supporting economic recovery, managing and recovering billions of Euro in distressed loans, facilitated the delivery of housing at significant scale. NAMA has also made a major and long-lasting contribution to the regeneration of the Dublin Docklands.

The Loan Balance Application (LBA) is a core business system built bespoke to NAMA’s needs and central to NAMA’s operating model.

This case study outlines how NAMA, with the support of the Version 1 team, utilised Generative AI to document the code resulting in detail technical documentation.

Decipher by Version 1

To support the requirement to document the LBA, our team deployed Decipher which is our proprietary Generative AI-powered platform for code analytics and automated documentation.

Decipher performs code analytics to create deep codebase insights and understanding which is populated on a proprietary knowledge graph. This graph enables Decipher to automatically:

  • Identify individual business processes from your codebase
  • Group related processes to automatically identify business domains
  • Provide code insights such as areas of greatest complexity or entanglement and obsolete code

Generative AI is then combined with this rich knowledge graph to auto generate extensive documentation across the identified files, processes and domains, with insightful architecture diagrams enabling NAMA to quickly assess and understand the source code.

Outcome and benefits

Our collaboration with NAMA produced comprehensive documentation through a feedback-driven cycle: NAMA experts reviewed each iteration; we refined the content and progressively validated its accuracy. This hands-on involvement ensured NAMA shaped the final outputs whilst building trust in the results.

This approach drove many benefits including:

  • Automated Approach – Over 9 weeks saved compared to a manual approach
  • Accelerated Knowledge Transfer – Comprehensive documentation enabled faster onboarding of new team members
  • Future Modernisation Ready – Clear architectural insights support future refactoring or upgrades
  • Comprehensive Documentation – High-Level Design Documentation provided per file, process and domain
  • Architectural Diagrams – Control Flow, Graph, Sequence Diagrams and C4 Architecture Diagrams supported the  onboarding process

“Version 1’s Decipher tool gave provided a more automated approach to documentation of one of our key systems. The quality and completeness of the documentation and insights that were produced were excellent and has been a real aide to our team.”

Ciara Ryan, Head of Systems, NAMA

“By using our Decipher platform, we were able to rapidly solve the age-old problem of a lack of documentation, clearly demonstrating the value of our AI-powered documentation service.”

John Bolger, Global Lead for
Application Modernisation, Version 1

More success stories