Evidence Systems
Ogni affermazione, tracciata. Sistemi di dati per ONG, finanziatori e governi.
Evidence Systems costruisce sistemi di dati in cui ogni affermazione può essere ricondotta alla propria fonte, e possiamo gestirli per voi. Collaboriamo con ONG e organizzazioni non profit, finanziatori, dipartimenti governativi e team di ricerca e politiche pubbliche, in Sudafrica e a livello internazionale. Offriamo tre servizi. Un audit del sistema di dati: un’analisi con ambito definito delle vostre informazioni, dei relativi problemi e di ciò che servirebbe per risolverli. La realizzazione di un sistema di dati: un sistema operativo, consegnato al vostro team, che mantiene un collegamento tra ogni record e la sua fonte originale. Un servizio dati gestito: un revisore designato gestisce il vostro ciclo di reporting e risponde dei risultati. Evidence Systems (Pty) Ltd ha sede a Città del Capo ed è stata cofondata da Romanos Boraine e Ruby (Tran Hong Ngoc). Nessuna revisione ancoraSii il primo a scriverne uno
Servizi
2 servizi offerti da Evidence Systems
Descrizione 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.Capacità in Consulenza dati (10) Data discoveryMigrazione dei datiQualità dei datiVisualizzazione datiMonitoraggio dei datiAnalisi dei datiConsolidamento dei datiEstratto di datiMigrazione del databaseMappatura albero decisionaleLavori in Consulenza dati (3) Clienti in Consulenza dati (2) Confidential South African public-sector policy projectGoverno e amministrazione | nationalConfidential UNICEF-linked research contractorNo-profit | national
Imparare di più su Consulenza datiDescrizione 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.Capacità in Intelligenza Artificiale (11) Competenza AIRicerca AIConsulenza ChatGPTStrategia IAIA generativaChatbotGrandi modelli linguistici (LLM)Elaborazione del linguaggio naturaleAgenti IAIA conversazionale+1Lavori in Intelligenza Artificiale (3) Clienti in Intelligenza Artificiale (2) Confidential South African public-sector policy projectGoverno e amministrazione | nationalConfidential UNICEF-linked research contractorNo-profit | national
Imparare di più su Intelligenza Artificiale
Squadra
2 membri del team di Evidence Systems
StoriaRomanos 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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Contatto
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Dettagli
- Sede centraleBurnside Road, Tamboerskloof, Cape Town, South Africa