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Romanos Boraine

Co-founder, Evidence Systems

Romanos Boraine

Background

Romanos Boraine is co-founder of Evidence Systems, a data systems company in Cape Town. He leads method, delivery and sales, and is the named data reviewer on the company's work: the person who checks that each claim in a finished report traces back to its source.

He studied Brand Communication, specialising in Multimedia Design, at Vega School, where he received the Pencil Award for Multimedia Design and the Fresh Cream Award. He then worked in brand, marketing, and project and commercial management before moving into data work. Since March 2025 he has worked on data analysis for research and public-sector projects, including the partner reporting, legislation mapping, public submissions and field research in our case studies.

He writes about traceability, AI-ready data, monitoring and evaluation reporting, and qualitative evidence: how information is collected, structured, reviewed, cited and handed over so teams can keep using it.

Find Romanos elsewhere

Articles by Romanos

  1. AI-ready data

    South Africa's withdrawn AI policy: a lesson in citations

    First published
  2. AI-ready data

    Which metadata fields matter for AI retrieval

    First published
  3. Traceability

    How to build a source-linked evidence table for a report

    First published
  4. AI-ready data

    How to test an AI knowledge base before your team uses it

    First published
  5. Traceability

    How to build a source register for an evidence-heavy report

    First published
  6. Traceability

    How to build a quote bank for qualitative reporting

    First published
  7. Reporting and M&E

    How to build a findings-to-recommendations matrix

    First published
  8. Reporting and M&E

    Theory of change for NPOs: from programme logic to evidence

    First published
  9. Reporting and M&E

    SMART indicators for NPOs: from vague outcomes to evidence

    First published
  10. Reporting and M&E

    Monitoring and evaluation reporting for South African NPOs

    First published
  11. Qualitative evidence

    Community-led monitoring in South Africa: feedback to evidence

    First published
  12. AI-ready data

    Why AI gives weak answers when the source material is messy

    First published
  13. Qualitative evidence

    How to turn interviews and case studies into findings

    First published
  14. Qualitative evidence

    What a public consultation response matrix should include

    First published
  15. Traceability

    How to keep every report claim traceable to its source

    First published
  16. AI-ready data

    How to get your documents ready for AI retrieval

    First published
  17. Reporting and M&E

    A report writing workflow that keeps the evidence visible

    First published
  18. Qualitative evidence

    How to analyse public submissions without losing the source

    First published
  19. Traceability

    What a messy evidence workflow costs a reporting team

    First published

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