Romanos Boraine

I help organisations turn messy information into structured systems, usable evidence, and clear outputs.

My work sits between systems, evidence, AI-supported retrieval, synthesis, and reporting. In practical terms, I help research teams, public-sector projects, donor-funded contractors, and organisations organise scattered material, keep source links visible, speed up analysis, and turn evidence into outputs people can review and use.

What I do now

I work on projects where the information matters, but the workflow is under strain.

Most of my work starts when a team has the material, but not the structure needed to use it properly.

Bring order to complexity.

I work best when information is spread across spreadsheets, PDFs, interviews, submissions, forms, folders, reports, notes, and draft documents. The problem is not usually that the information is missing. The problem is that it is hard to search, compare, verify, summarise, and turn into a clear output.

My role is to build the working path from raw material to structured evidence, faster review, clearer reporting, and better decisions. Sometimes that path is a database. Sometimes it is an AI-supported retrieval workflow, a synthesis process, a reporting pack, or a data capture system. Often it is a careful mix of all of those.

Typical engagements.

  1. Building database structures for evidence, submissions, records, or reporting material.
  2. Creating AI-supported knowledge bases around approved document environments.
  3. Synthesising interviews, submissions, workshop notes, case studies, and reports into coherent findings.
  4. Drafting report sections, evidence tables, summaries, recommendations, and decision notes.
  5. Designing capture forms, calculators, spreadsheets, folders, notifications, and follow-up workflows.
  1. 01

    Capture and structure

    Build forms, databases, spreadsheets, folders, and standards that make important information easier to collect and use.

  2. 02

    Retrieve and synthesise

    Create a reliable route through source material so teams can search, compare, verify, summarise, and connect the evidence.

  3. 03

    Review and hand over

    Turn structured evidence into report sections, tables, summaries, recommendations, and outputs people can check and use.

Background

A path shaped by design, systems, delivery, and reporting pressure

The current offer did not come from one discipline. It came from learning how information moves through real teams, and where that movement breaks.

01

Design foundation

I started with clarity, usability, and communication.

I studied Brand Communication with a specialisation in Multimedia Design at Vega School. That foundation still shapes the work: information has to be structured well, but it also has to make sense to the people using it.

During that time I was awarded the Pencil Award for Multimedia Design and the Fresh Cream Award.

02

Commercial delivery

Commercial work taught me where systems break down.

Freelance, digital, signage, and manufacturing roles put me close to quoting, project delivery, client pressure, internal data, and operational handover. That experience made the current work more practical, because messy information is rarely an abstract problem.

03

Current offer

The work now connects structure, analysis, AI support, and reporting.

Today I help clients build the working path from raw information to usable output. That can include database structure, source traceability, AI-supported retrieval, synthesis, report sections, evidence tables, and handover material.

Work experience

A timeline of roles that shaped the current offer

The useful thread across these roles is not the job titles. It is the repeated work of turning unclear inputs into organised systems, client-ready outputs, and better operating rhythm.

Mar 2025 - Present

A.I. Data Analysis Consultant

Freelance

Focused on database architecture, custom AI building, data synthesis, report writing, and insight generation across research and public-sector work.

Database architectureCustom AI buildingData synthesisReport writingInsight generation
Clients
UNICEF, South African Government
Notable projects
UNICEF Zambia FHH Poverty Study 2025, UNICEF Palestine Child Disability Study 2026, South African Government White Paper 2025-2026

Jul 2024 - Feb 2025

Commercial Manager

Romano Signs

Combined client liaison, lead generation, data analysis, database architecture, and business development across commercially sensitive delivery work.

Client liaisonLead generationData analysisDatabase architectureBusiness development
Clients
Pick 'n Pay, Shoprite, Southern Sun, Blaauwberg Beach Hotel
Notable projects
Blaauwberg Beach Hotel exterior signage, PnP Stellenbosch Budget Store of the Future

Jul 2023 - Jul 2024

Project Manager

Romano Signs

Managed client-facing delivery work while increasingly leaning into data analysis and database thinking around workflows, coordination, and visibility.

Client liaisonCorporate identityLead generationData analysisDatabase architecture
Clients
Pick 'n Pay
Notable projects
PnP Sunningdale Store of the Future

Dec 2022 - Jul 2023

Marketing Manager

Romano Group

Handled web design and development, content strategy, identity work, lead generation, and brand strategy in an internal marketing role.

Web design and developmentContent strategyCorporate identityLead generationBrand strategy
Clients
Internal role

Sep 2020 - Dec 2022

Brand Manager

Freelance

Led brand development and audience growth work, pairing brand strategy with UX, multimedia design, and lead generation.

Brand strategyCorporate identityMultimedia designUX designLead generation
Clients
Cannabiz Africa, Josephine Grindrod
Notable projects
Cannabiz Africa brand development, reaching 10k recurring monthly users

Jan 2019 - Dec 2020

Brand Communications Consultant

Freelance

Delivered brand strategy, identity, multimedia design, UX, and content strategy work across freelance client engagements.

Brand strategyCorporate identityMultimedia designUX designContent strategy
Clients
Off Limit Communications, Lisa J Alton, Absolut Vodka (Botswana)
Relevant project experience

Proof from evidence-heavy projects

These projects show the part of the work I want the About page to make clear: I do not only analyse data, write reports, build AI tools, or create spreadsheets in isolation.

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How I work

Clear, grounded, and built for review

I am not interested in adding complexity for the sake of sounding technical. A good system should help people do the work better, and check it when the stakes are high.

  1. 01

    Structure comes before speed.

    If the source material is disorganised, analysis, AI support, and reporting become harder to trust.

  2. 02

    Traceability is part of the work.

    Findings, quotes, claims, recommendations, and draft sections should be easier to check against their sources.

  3. 03

    AI needs boundaries.

    AI is useful for retrieval, first-pass summaries, comparison, classification, and drafting only when the source base and review process are clear.

  4. 04

    The system must fit the team.

    A good workflow works inside real deadlines, tools, permissions, skills, and review habits.

  5. 05

    Outputs should hold up under review.

    The end point is not a clever tool. It is clearer evidence, faster review, stronger reports, and better decisions.

Skills and fit

A cross-disciplinary skill set, used for usable outputs

The value is in connecting the full chain of a project: capture, structure, retrieval, analysis, synthesis, writing, review, and handover.

Evidence and research

Data analysisQuantitative and qualitative researchReport structuringWritten communication

Data and systems

AutomationDatabase developmentDigital transformationWeb developmentUser experience thinking

Delivery and commercial fit

Project managementBusiness developmentStrategic partnershipsBusiness strategyContent strategyCommercial operationsClient relationsPricing and proposal thinking

Who I work best with.

  1. 01

    Primary contractors and evidence-heavy teams

    Best suited to research, evaluation, policy, donor-funded, and public-sector work where information has to be handled carefully and turned into outputs under pressure.

    • Large volumes of interviews, submissions, notes, or source material
    • Reporting or synthesis work that needs better evidence handling
    • Projects where defensibility and traceability matter
  2. 02

    Businesses and organisations with messy internal information

    Useful when operational records, internal documents, lead capture, reporting, or admin workflows have become fragmented and hard to use.

    • Weak internal systems and poor retrieval
    • Operational visibility problems
    • Manual review processes that waste time
  3. 03

    Teams exploring practical AI

    A good fit for clients who want AI built around approved sources, retrieval boundaries, review steps, and useful outputs.

    • Knowledge bases and document environments
    • AI-supported retrieval and query workflows
    • Custom tools shaped by actual client questions

Beyond the work.

I have spent a lot of my career bridging disciplines that are often treated separately. That broader lens helps me think about the technical side, the evidence side, the writing side, and the handover reality at the same time.

I care about making work clearer, tighter, and easier to trust. I like systems that reduce repeated manual work, information that is well organised, and outputs that hold up under scrutiny.

Writing and mission-driven support.

For written work, my author profile keeps the article archive separate from this commercial background page. You can view it at Romanos Boraine author profile.

Mission-driven support
  • Digital Branding Specialist for Art For Action
  • Design support for the Western Cape Food Forum

If your team is dealing with messy information, slow reporting, manual review, or weak structure, I would be glad to hear more.

Whether you already know what needs to be built or you are still trying to define the problem, I can help you think through the structure, evidence trail, review process, and output.