Romanos Boraine

Kaapstad, Zuid-Afrika

Dataconsultancy voor traceerbaar bewijs en rapportage

Ik help onderzoeksteams, publieke sectorprojecten, door donoren gefinancierde aannemers, NGO's, programmateams en dienstverlenende bedrijven om rommelige informatie om te zetten in gestructureerde datasystemen, traceerbare bewijs-workflows en duidelijkere rapportage-uitkomsten. Mijn werk begint meestal wanneer nuttige informatie verspreid is over spreadsheets, pdf's, interviews, publieke inzendingen, casestudies, rapporten, mappen, formulieren, e-mails of conceptdocumenten, maar het team geen duidelijk systeem heeft om deze te verzamelen, structureren, analyseren, beoordelen of gebruiken. Ik ondersteun data-ontdekking, data-extractie, data-consolidatie, datakwaliteit, kwalitatieve data-analyse, AI-ondersteunde onderzoeks-workflows, AI-kennisbanken, rapportage-dashboards, beslissingsondersteunende tools en praktische database-structuren. Dit kan bronregisters, bewijstabellen, coderingskaders, citaatbanken, matrices voor publieke inzendingen, rapportagepakketten, dashboards, Custom GPT's en workflowkaarten omvatten. Het doel is om teams te helpen betere gegevens te verzamelen, deze te structureren in traceerbaar bewijs, en ze om te zetten in rapporten, dashboards, briefing notes, AI-kennisbanken of beslissingsondersteunende outputs die mensen daadwerkelijk kunnen gebruiken. Recent bewijs omvat een workflow voor bewijsvoering voor het Zuid-Afrikaanse White Paper van de lokale overheid, een workflow voor bewijsvoering voor kinderarmoede van UNICEF Zambia voor 120 narratieve casestudies, en een workflow voor herstel van situatieanalyses van UNICEF Palestina. Ik werk het best waar bron-traceerbaarheid, menselijke beoordeling, bruikbare systemen en duidelijke rapportage-uitkomsten belangrijk zijn.

1 personen in hun team

Spreekt Engels

3 projecten in hun portfolio

Sortlist lid sinds 2026

Opgericht in 2025

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Diensten

2 diensten aangeboden door Romanos Boraine

Beschrijving
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 VisualizationData DiscoveryData AnalysisData MigrationData QualityData MonitoringData ExtractDecision Tree MappingDatabase MigrationData Consolidation
Projecten in Data Consulting (3)
Klanten in Data Consulting (2)
Confidential South African public-sector policy projectOverheid | national
Confidential UNICEF-linked research contractorNon-profit | national
Meer informatie over Data Consulting
Beschrijving
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 ExpertiseChatGPT ConsultingAI ResearchGenerative AIAI StrategyLarge Language Models (LLM)ChatbotsNatural Language ProcessingAI AgentsConversational AI+1
Projecten in Artificial Intelligence (3)
Klanten in Artificial Intelligence (2)
Confidential South African public-sector policy projectOverheid | national
Confidential UNICEF-linked research contractorNon-profit | national
Meer informatie over Artificial Intelligence

Team

1 lid in Romanos Boraine's team

VerhaalRomanos 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.

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Details

HoofdkantoorBurnside Road, Tamboerskloof, Cape Town, South Africa