About Romanos Boraine
About Romanos Boraine
About Romanos Boraine
Evidence and reporting systems for research, policy, and impact teams
Evidence and reporting systems for research, policy, and impact teams
Evidence and reporting systems for research, policy, and impact teams
I build practical workflows that turn messy inputs into a structured evidence base and reporting-ready outputs. The goal is simple: reduce rework, speed up reviews, and make it clear what each claim is based on.
I build practical workflows that turn messy inputs into a structured evidence base and reporting-ready outputs. The goal is simple: reduce rework, speed up reviews, and make it clear what each claim is based on.
I build practical workflows that turn messy inputs into a structured evidence base and reporting-ready outputs. The goal is simple: reduce rework, speed up reviews, and make it clear what each claim is based on.
Trusted on high-stakes reporting and delivery work
Selected partners and projects across research, policy, operations, and digital.
Trusted on high-stakes reporting and delivery work
Selected partners and projects across research, policy, operations, and digital.
Trusted on high-stakes reporting and delivery work
Selected partners and projects across research, policy, operations, and digital.
Why work with me
Why work with me
Why work with me
Evidence-first delivery
Evidence-first delivery
Evidence-first delivery
I focus on the part that makes projects succeed or fail: how inputs become evidence, and how evidence becomes credible reporting. The workflow is designed for speed, consistency, and defensibility.
I focus on the part that makes projects succeed or fail: how inputs become evidence, and how evidence becomes credible reporting. The workflow is designed for speed, consistency, and defensibility.
I focus on the part that makes projects succeed or fail: how inputs become evidence, and how evidence becomes credible reporting. The workflow is designed for speed, consistency, and defensibility.
Built for review pressure
Built for review pressure
Built for review pressure
When stakeholders need answers quickly, the problem is rarely effort. It is structure. I design for fast reviews, clear sourcing, and fewer back-and-forth cycles.
When stakeholders need answers quickly, the problem is rarely effort. It is structure. I design for fast reviews, clear sourcing, and fewer back-and-forth cycles.
When stakeholders need answers quickly, the problem is rarely effort. It is structure. I design for fast reviews, clear sourcing, and fewer back-and-forth cycles.
Handover, not dependency
Handover, not dependency
Handover, not dependency
You get a system your team can run, plus documentation, templates, and a simple operating rhythm. If I am involved again, it is to improve the system, not to keep it alive.
You get a system your team can run, plus documentation, templates, and a simple operating rhythm. If I am involved again, it is to improve the system, not to keep it alive.
You get a system your team can run, plus documentation, templates, and a simple operating rhythm. If I am involved again, it is to improve the system, not to keep it alive.
What I build
What I build
What I build
Most teams do not need more tools
Most teams do not need more tools
Most teams do not need more tools
They need fewer moving parts, clearer rules, and a workflow that produces the same quality output every time.
Here are the core workstreams I support:
They need fewer moving parts, clearer rules, and a workflow that produces the same quality output every time.
Here are the core workstreams I support:
They need fewer moving parts, clearer rules, and a workflow that produces the same quality output every time.
Here are the core workstreams I support:
Capture and intake systems
Capture and intake systems
Structured forms, templates, and validation rules that reduce admin drag and produce clean, consistent inputs from day one. This includes automation for routing, follow-ups, and dataset building when needed.
Structured forms, templates, and validation rules that reduce admin drag and produce clean, consistent inputs from day one. This includes automation for routing, follow-ups, and dataset building when needed.
Structured forms, templates, and validation rules that reduce admin drag and produce clean, consistent inputs from day one. This includes automation for routing, follow-ups, and dataset building when needed.
Evidence base design and build
Evidence base design and build
A clean, standardised database with a documented data dictionary and taxonomy, so analysts are working from one shared structure instead of reinventing it per person or per workstream.
A clean, standardised database with a documented data dictionary and taxonomy, so analysts are working from one shared structure instead of reinventing it per person or per workstream.
A clean, standardised database with a documented data dictionary and taxonomy, so analysts are working from one shared structure instead of reinventing it per person or per workstream.
Analysis and synthesis workflow
Analysis and synthesis workflow
Repeatable categorisation and synthesis with guardrails. Where AI is used, it is used to accelerate, not to replace accountability. Human review is part of the system design.
Repeatable categorisation and synthesis with guardrails. Where AI is used, it is used to accelerate, not to replace accountability. Human review is part of the system design.
Repeatable categorisation and synthesis with guardrails. Where AI is used, it is used to accelerate, not to replace accountability. Human review is part of the system design.
Reporting-ready outputs and drafting support
Reporting-ready outputs and drafting support
Tables, synthesis views, and drafting scaffolds that match your required standard or template, so reporting is an output of the workflow, not a scramble at the end.
Tables, synthesis views, and drafting scaffolds that match your required standard or template, so reporting is an output of the workflow, not a scramble at the end.
Tables, synthesis views, and drafting scaffolds that match your required standard or template, so reporting is an output of the workflow, not a scramble at the end.
QA, traceability, and governance
QA, traceability, and governance
Checks, versioning, and source traceability built into the workflow, plus a handover pack and training so the system is runnable without me.
Checks, versioning, and source traceability built into the workflow, plus a handover pack and training so the system is runnable without me.
Checks, versioning, and source traceability built into the workflow, plus a handover pack and training so the system is runnable without me.
How I work with you
How I work with you
How I work with you
I work systems-first and delivery-aware
I work systems-first and delivery-aware
I work systems-first and delivery-aware
We do the minimum design needed to make the workflow reliable, then we build, test, and hand over.
We do the minimum design needed to make the workflow reliable, then we build, test, and hand over.
We do the minimum design needed to make the workflow reliable, then we build, test, and hand over.
Standards before opinions
Standards before opinions
Standards before opinions
We start by confirming what the reporting must comply with, what the review process looks like, and what “good enough” means under real timelines.
We start by confirming what the reporting must comply with, what the review process looks like, and what “good enough” means under real timelines.
We start by confirming what the reporting must comply with, what the review process looks like, and what “good enough” means under real timelines.
Schema first, then automation
Schema first, then automation
Schema first, then automation
Once the structure is right, automation becomes safe and useful. If the structure is wrong, automation just makes chaos faster.
Once the structure is right, automation becomes safe and useful. If the structure is wrong, automation just makes chaos faster.
Once the structure is right, automation becomes safe and useful. If the structure is wrong, automation just makes chaos faster.
Human-in-the-loop by default
Human-in-the-loop by default
Human-in-the-loop by default
AI can speed up categorisation, summarisation, and drafting, but the workflow must make it easy to check, correct, and sign off.
AI can speed up categorisation, summarisation, and drafting, but the workflow must make it easy to check, correct, and sign off.
AI can speed up categorisation, summarisation, and drafting, but the workflow must make it easy to check, correct, and sign off.
Romanos' Selected experience
Romanos' Selected experience
Romanos' Selected experience
Highlights from recent work
Highlights from recent work
Highlights from recent work
Cross‑sector projects in startups, nonprofits and media inform a pragmatic, results‑oriented practice. Here are a few relevant examples.
Cross‑sector projects in startups, nonprofits and media inform a pragmatic, results‑oriented practice. Here are a few relevant examples.
Cross‑sector projects in startups, nonprofits and media inform a pragmatic, results‑oriented practice. Here are a few relevant examples.
TheFutureMe (TFM), a systems-first wellness score for real life
TheFutureMe (TFM), a systems-first wellness score for real life
TheFutureMe (TFM), a systems-first wellness score for real life
TheFutureMe is a small startup I’m building to help people future-proof their body and mind using simple, sustainable systems. This case study explains why it exists, what’s live today, and what’s coming next.
TheFutureMe is a small startup I’m building to help people future-proof their body and mind using simple, sustainable systems. This case study explains why it exists, what’s live today, and what’s coming next.
TheFutureMe is a small startup I’m building to help people future-proof their body and mind using simple, sustainable systems. This case study explains why it exists, what’s live today, and what’s coming next.
LGWP26 Case Study: Turning 270 Submissions into a Traceable Evidence Base
LGWP26 Case Study: Turning 270 Submissions into a Traceable Evidence Base
LGWP26 Case Study: Turning 270 Submissions into a Traceable Evidence Base
Turning messy submissions into a traceable evidence base (and a drafting assistant)
Turning messy submissions into a traceable evidence base (and a drafting assistant)
Turning messy submissions into a traceable evidence base (and a drafting assistant)
UNICEF AI Case Study: Child Poverty Study (Zambia)
UNICEF AI Case Study: Child Poverty Study (Zambia)
UNICEF AI Case Study: Child Poverty Study (Zambia)
Evidence, Insight and Reporting Engine + Insight Copilot
Evidence, Insight and Reporting Engine + Insight Copilot
Evidence, Insight and Reporting Engine + Insight Copilot
Who I work with
Who I work with
Who I work with
Best fit: teams under delivery pressure who need a workflow they can defend
Best fit: teams under delivery pressure who need a workflow they can defend
Best fit: teams under delivery pressure who need a workflow they can defend
I work best with teams where the challenge is evidence to reporting under real constraints: short timelines, heavy review cycles, multiple contributors, and high consequences for inconsistency.
I work best with teams where the challenge is evidence to reporting under real constraints: short timelines, heavy review cycles, multiple contributors, and high consequences for inconsistency.
I work best with teams where the challenge is evidence to reporting under real constraints: short timelines, heavy review cycles, multiple contributors, and high consequences for inconsistency.
Research and evaluation agencies
Policy and management consultancies
Donor-funded implementing partners and consortia
Government-adjacent delivery teams and units
Agencies needing a specialist on the data-to-evidence-to-reporting workstream
Research and evaluation agencies
Policy and management consultancies
Donor-funded implementing partners and consortia
Government-adjacent delivery teams and units
Agencies needing a specialist on the data-to-evidence-to-reporting workstream
Research and evaluation agencies
Policy and management consultancies
Donor-funded implementing partners and consortia
Government-adjacent delivery teams and units
Agencies needing a specialist on the data-to-evidence-to-reporting workstream
Romanos Boraine's Education
Vega School
B.A. Brand Communications
Jan 2016 - October 2018
Cape Town, South Africa
Romanos Boraine's Education
Vega School
B.A. Brand Communications
Jan 2016 - October 2018
Cape Town, South Africa
Romanos Boraine's Education
Vega School
B.A. Brand Communications
Jan 2016 - October 2018
Cape Town, South Africa
Frequently Asked Questions
What do you mean by “evidence and reporting system”?
A practical workflow that takes inputs, standardises them into a single evidence base, supports repeatable synthesis, and produces reporting-ready outputs that link back to source.
Do you replace our analysts, writers, or M&E team?
No. I build the structure, tools, and guardrails that make your team faster and more consistent, then support a review loop so accountability stays with your team.
Where does AI fit, and how do you reduce risk?
AI is used for acceleration where it is safe: classification support, synthesis drafts, and query interfaces. The workflow includes checks, traceability, and clear handover documentation.
How do you handle confidentiality and access control?
Where possible, I work within your environment and design access, versioning, and documentation around your governance needs.
Where should we start?
If your problem is messy intake and admin drag, start with capture and automation. If your problem is slow synthesis and inconsistent findings, start with the evidence and reporting layer. If you have both, the full system is usually the fastest path.
Frequently Asked Questions
What do you mean by “evidence and reporting system”?
A practical workflow that takes inputs, standardises them into a single evidence base, supports repeatable synthesis, and produces reporting-ready outputs that link back to source.
Do you replace our analysts, writers, or M&E team?
No. I build the structure, tools, and guardrails that make your team faster and more consistent, then support a review loop so accountability stays with your team.
Where does AI fit, and how do you reduce risk?
AI is used for acceleration where it is safe: classification support, synthesis drafts, and query interfaces. The workflow includes checks, traceability, and clear handover documentation.
How do you handle confidentiality and access control?
Where possible, I work within your environment and design access, versioning, and documentation around your governance needs.
Where should we start?
If your problem is messy intake and admin drag, start with capture and automation. If your problem is slow synthesis and inconsistent findings, start with the evidence and reporting layer. If you have both, the full system is usually the fastest path.
Frequently Asked Questions
What do you mean by “evidence and reporting system”?
A practical workflow that takes inputs, standardises them into a single evidence base, supports repeatable synthesis, and produces reporting-ready outputs that link back to source.
Do you replace our analysts, writers, or M&E team?
No. I build the structure, tools, and guardrails that make your team faster and more consistent, then support a review loop so accountability stays with your team.
Where does AI fit, and how do you reduce risk?
AI is used for acceleration where it is safe: classification support, synthesis drafts, and query interfaces. The workflow includes checks, traceability, and clear handover documentation.
How do you handle confidentiality and access control?
Where possible, I work within your environment and design access, versioning, and documentation around your governance needs.
Where should we start?
If your problem is messy intake and admin drag, start with capture and automation. If your problem is slow synthesis and inconsistent findings, start with the evidence and reporting layer. If you have both, the full system is usually the fastest path.
Kickstart a project today!
Kickstart a project today!
Book a 20-minute scoping call with Romanos
Book a 20-minute scoping call to map your reporting requirements, data reality, and delivery risks. You’ll leave with a recommended scope (Capture Engine, Evidence & Reporting Engine, or full system) and next steps.
Helping agencies, consultancies, and delivery teams turn raw inputs into structured evidence and reporting-ready outputs.
Book a 20-minute scoping call with Romanos
Book a 20-minute scoping call to map your reporting requirements, data reality, and delivery risks. You’ll leave with a recommended scope (Capture Engine, Evidence & Reporting Engine, or full system) and next steps.
Helping agencies, consultancies, and delivery teams turn raw inputs into structured evidence and reporting-ready outputs.
Book a 20-minute scoping call with Romanos
Book a 20-minute scoping call to map your reporting requirements, data reality, and delivery risks. You’ll leave with a recommended scope (Capture Engine, Evidence & Reporting Engine, or full system) and next steps.
Helping agencies, consultancies, and delivery teams turn raw inputs into structured evidence and reporting-ready outputs.