Evidence Systems

Cape Town, South Africa

Every claim, traced. Data systems for NGOs, funders and government.

Evidence Systems builds data systems where every claim traces back to its source, and we can run them for you. We work with NGOs and NPOs, funders, government departments, and research and policy teams, in South Africa and internationally. We offer three services. A data system audit: a fixed-scope look at your information, what is wrong with it and what it would take to fix. A data system build: a working system, handed over to your team, that keeps a link from every record to its original source. A managed data service: a named reviewer runs your reporting cycle and answers for the output. Evidence Systems (Pty) Ltd is based in Cape Town and was co-founded by Romanos Boraine and Ruby (Tran Hong Ngoc).

2 people in their team

Speaks English

3 projects in their portfolio

Sortlist member since 2026

Founded in 2026

No review yetBe the first to write one

Services

2 services offered by Evidence Systems

Description
I help research teams, public-sector projects, donor-funded contractors, NGOs, programme teams and service businesses turn messy information into structured data systems, traceable evidence workflows and clearer reporting outputs. My work usually starts when useful information is spread across spreadsheets, PDFs, interviews, public submissions, case studies, reports, folders, forms, emails or draft documents, but the team does not have a clear system for collecting, structuring, analysing, reviewing or using it. I support data discovery, data extraction, data consolidation, data quality, qualitative data analysis, AI-assisted research workflows, AI knowledge bases, reporting dashboards, decision-support tools and practical database structures. This can include source registers, evidence tables, coding frameworks, quote banks, public submission matrices, reporting packs, dashboards, Custom GPTs and workflow maps. The aim is not to build generic AI tools or overcomplicated software. The aim is to help teams collect better data, structure it into traceable evidence, and turn it into reports, dashboards, briefing notes, AI knowledge bases or decision-support outputs that people can actually use. Recent proof includes a South African Local Government White Paper evidence workflow, a UNICEF Zambia child poverty evidence workflow for 120 narrative case studies, and a UNICEF Palestine situation analysis recovery workflow. I work best where source traceability, human review, usable systems and clear reporting outputs matter.
Skills in Data Consulting (10)
Data DiscoveryData MigrationData QualityData VisualizationData MonitoringData AnalysisData ConsolidationData ExtractDatabase MigrationDecision Tree Mapping
Works in Data Consulting (3)
Clients in Data Consulting (2)
Confidential South African public-sector policy projectGovernment & Administration | national
Confidential UNICEF-linked research contractorNon-profit | national
Learn more about Data Consulting
Description
I build practical AI workflows for teams that need to use their own documents, evidence, research material, reports, submissions, interviews, spreadsheets or internal knowledge more effectively. My AI work is focused on source-grounded use cases, not generic chatbot builds or unchecked automation. I help teams prepare source material, structure document libraries, design AI knowledge bases, build Custom GPTs, create prompt libraries, define review rules and set up workflows for retrieval, classification, comparison, summarisation and drafting support. This is especially useful for research teams, public-sector projects, donor-funded contractors, NGOs, policy teams, evaluation firms, report writers and service businesses that want to use AI, but need the outputs to stay tied to approved source material. Typical projects include AI knowledge bases for project documents, Custom GPTs for evidence retrieval, AI-assisted qualitative coding, public submission analysis support, document Q&A systems, report drafting support, internal knowledge assistants and AI workflows for turning scattered information into clearer outputs. I do not build AI to replace expert judgement. I use AI where it can reduce manual searching, sorting, coding, summarising or drafting time, while keeping source traceability, human review and clear output rules in the workflow. Recent proof includes AI-supported evidence workflows for a South African Local Government White Paper process, a UNICEF Zambia child poverty evidence workflow for 120 narrative case studies, and a UNICEF Palestine situation analysis recovery workflow.
Skills in Artificial Intelligence (11)
AI ExpertiseAI ResearchChatGPT ConsultingAI StrategyGenerative AIChatbotsLarge Language Models (LLM)Natural Language ProcessingAI AgentsConversational AI+1
Works in Artificial Intelligence (3)
Clients in Artificial Intelligence (2)
Confidential South African public-sector policy projectGovernment & Administration | national
Confidential UNICEF-linked research contractorNon-profit | national
Learn more about Artificial Intelligence

Team

2 members in Evidence Systems's team

StoryRomanos Boraine Consulting grew from a practical need: helping teams make better use of information already sitting across spreadsheets, PDFs, interviews, submissions and reports. The work focuses on turning messy material into traceable evidence systems, faster analysis and clearer reporting outputs.

Reviews

No review for Evidence Systems yet

Worked with Evidence Systems?

Share your experience with us.

Write a review

Contact

Contact details of Evidence Systems

Details

HeadquarterBurnside Road, Tamboerskloof, Cape Town, South Africa