Data systems, AI knowledge bases, evidence workflows, and reporting support

I help organisations turn messy information into usable systems, traceable evidence, clear reports, and decision support across database design, retrieval, synthesis, reporting, and internal AI workflows.

Who this is for

Who I work with

This page is built for two broad client groups, and the work usually starts in one of three ways: inside a live project, during bid-stage pricing, or through monthly consulting.

Primary contractors and specialist teams

You may be leading a research, policy, consultation, evaluation, or donor-funded project with a large volume of interviews, submissions, case studies, workshop notes, survey material, or technical documents. I help turn that material into a usable evidence base that your wider team can retrieve, analyse, draft from, and review with confidence.

This can happen after the contract starts, when a pressure point becomes clear, or earlier at bid stage when you want the data, reporting, synthesis, or AI workstream scoped and priced into the project from the start.

Businesses, nonprofits, and organisations with messy internal information

You may already have valuable records, reports, spreadsheets, folders, forms, or operational data, yet the system around that information is weak. I help build clearer structures, improve retrieval, reduce manual review time, and turn that material into reporting and decision support that people can actually use.

In some cases, the work starts as a fixed project. In others, it starts as monthly consulting on how to approach data projects, improve workflows, or make better use of AI knowledge bases in day-to-day operations.

Common problems behind the work

Most enquiries start with a business problem, not a service label

  • Information is spread across too many files, folders, forms, and spreadsheets.
  • Reporting takes too long and drains senior team time.
  • Manual review is slowing down delivery.
  • Source tracking is weak or inconsistent.
  • Teams cannot find what they need quickly.
  • Large evidence sets need to be turned into clear findings, reports, or action points.
  • The team wants practical AI tied to its own data, not a generic chatbot.
Services I provide

Projects can use one service or combine several

In many cases the work moves from structure, to retrieval, to synthesis, to reporting, to decision support.

01

Database Architecture

I build practical database systems that make information easier to capture, organise, retrieve, and use. This is a strong fit when your project is running across spreadsheets, forms, folders, submissions, or internal records without a clean structure behind them.

Workflow snapshot

Shape scattered records into a usable operating structure.

Best when forms, folders, spreadsheets, and submissions need one clear model for capture, retrieval, and analysis.

Common inputs
SpreadsheetsFormsFoldersSubmissionsInternal records
What it creates
Structured databaseClear taxonomyCleaner retrieval and analysis workflow
Best for
  • Evidence-heavy projects with mixed inputs
  • Internal operational records that need a cleaner structure
  • Teams that need stronger reporting foundations
Typical outputs
  • Structured database
  • Clear taxonomy
  • Cleaner retrieval and analysis workflow
02

Custom AI Building

I build AI-ready knowledge bases and internal retrieval tools around your own document set or data environment. This is a strong fit when the main issue is time lost searching, comparing, checking, or re-finding information that already exists.

Workflow snapshot

Connect your document environment to practical retrieval.

Best when teams need fast answers, internal search, and query workflows grounded in their own records and knowledge.

Common inputs
Document librariesStructured databasesInternal recordsKnowledge repositories
What it creates
AI knowledge baseInternal retrieval assistantSearch and query workflow
Best for
  • Large document libraries
  • Internal knowledge environments
  • Teams that want practical AI tied to live records and clear review rules
Typical outputs
  • AI knowledge base
  • Internal retrieval assistant
  • Search and query workflow
03

Data Synthesis

I pull material from multiple sources into one coherent evidence base. This is a strong fit when interviews, submissions, notes, case studies, or surveys need to be grouped, compared, coded, and turned into findings that people can work from.

Workflow snapshot

Bring multiple evidence streams into one coherent view.

Best when interviews, studies, notes, and submissions need to be compared, grouped, and turned into findings.

Common inputs
InterviewsFocus groupsSubmissionsWorkshop notesCase studiesSurvey outputs
What it creates
Thematic synthesisIntegrated findingsEvidence summariesWorking analysis packs
Best for
  • Public consultation projects
  • Research and evaluation teams
  • Donor-funded studies with multiple evidence streams
Typical outputs
  • Thematic synthesis
  • Integrated findings
  • Evidence summaries
  • Working analysis packs
04

Report Writing

I turn structured evidence into clear written outputs. This is a strong fit when the analysis exists, yet the team still needs a sharper report, findings section, summary, briefing note, or recommendation draft.

Workflow snapshot

Turn structured evidence into clear client-ready outputs.

Best when the analysis exists but the report, summary, or findings section still needs stronger structure and flow.

Common inputs
DatasetsSynthesis notesSource materialInterview findingsDraft recommendations
What it creates
ReportsFindings sectionsBriefing notesExecutive summaries
Best for
  • Reporting deadlines
  • Donor-facing outputs
  • Teams with evidence but weak draft structure
Typical outputs
  • Reports
  • Findings sections
  • Briefing notes
  • Executive summaries
05

Insight Generation

I help move from raw material and synthesis into priorities, implications, and action points. This is a strong fit when decision-makers do not need more raw material; they need a clear read on what matters, what it means, and what should happen next.

Workflow snapshot

Move from information to priorities, implications, and action.

Best when leaders need to know what matters most, what it means, and what should happen next.

Common inputs
Structured dataSynthesis outputsReportsOperational recordsEvidence bases
What it creates
Priority issuesImplication summariesAction pointsDecision-ready support notes
Best for
  • Leadership teams
  • Policy and strategy work
  • Operational reviews
  • Projects that need clear implications and next actions
Typical outputs
  • Priority issues
  • Implication summaries
  • Action points
  • Decision-ready support notes
After services

Need help choosing the right workstream or service mix?

If the project cuts across structure, retrieval, synthesis, reporting, and decision support, that is normal. Send the brief first and I can scope the right next step before we lock the shape of the work.

Common project types

Types of projects I am best placed to help with

Examples of the work I usually take on, plus the three routes clients most often use to bring me in.

  • Public consultation databases and submission analysis
  • Research and donor-funded evidence workflows
  • Internal AI knowledge bases for documents and reporting
  • Operational reporting and visibility systems
  • Report drafting support built from traceable evidence
  • Recovery work for delayed, fragmented, or hard-to-use reporting projects

The best-fit projects usually have a real systems, evidence, reporting, or retrieval component. That can include database builds, evidence workflows, synthesis, reporting support, internal AI knowledge systems, and mixed projects that need more than one of those.

Engagement routes

Projects usually come in through one of three routes.

  • Live project or contract support

    You already have an active brief and need specialist help on one or more workstreams such as database structure, retrieval, synthesis, reporting, or AI knowledge-base work.

  • Bid-stage scope and pricing input

    You are pricing a proposal, tender, or contract and want my role scoped into the project before submission, so the contract can carry the cost of the work from the start.

  • Monthly consulting or coaching

    You do not need a full build yet, though you do want regular input on data projects, evidence workflows, internal systems, retrieval, or AI knowledge-base use in operations.

If your project cuts across more than one of these areas, that is normal. Many of the strongest engagements move from structure, to retrieval, to synthesis, to reporting, to decision support.

If you need a general marketing retainer, pure brand identity work, or ad hoc admin help with no systems or reporting scope, a different provider is likely to be the better fit.

Proof

Selected case studies

These examples show the kind of work I do and the type of result the work is built to create.

After proof

Send the brief and I'll help scope the right next step

If you are dealing with messy information, reporting pressure, weak internal retrieval, or an evidence-heavy delivery chain, send the context, material involved, timeline, and output needed.

How work is scoped

Projects are usually scoped in one of five ways

  • Once-off build
  • Subcontract project workstream
  • Fixed-scope system design and build
  • Reporting and synthesis support
  • Phased engagement

Not sure which route fits?

Send the brief first. I can review the problem, the material involved, the timeline, and the output needed before locking the scope.

If you already have a live brief, are pricing a bid, or want monthly support, send the project brief first and I can point you to the best fit.

  • The core problem
  • The material involved
  • The timeline
  • The output needed
Recent articles

Related reading before you enquire

A short reading strip that maps directly to this page's service areas and internal linking plan.

How to Prepare Documents for AI Retrieval Without Losing Structure or Traceability

Prepare PDFs, spreadsheets, and mixed files for AI retrieval with OCR, layout-aware parsing, metadata, version control, and document QA.

Read article17 min read

How to Build an AI-Ready Knowledge Environment for Internal Retrieval

Build an AI-ready knowledge environment with clear structure, retrieval rules, and safer AI use. See where to start.

Read article13 min read

How to Build Evidence Workflows for Reporting and Accountability

Learn how to build evidence workflows that improve reporting, source traceability, and decision-ready findings.

Read article13 min read
Frequently asked questions

Answers before you enquire

Can one project use more than one service?

Yes. Many projects start with structure, move into synthesis, feed a report, and end with decision support. If that is your situation, send one brief and I'll scope the right mix.

Do you only work on public sector and donor-funded projects?

No. The same work also fits nonprofits, operational teams, internal systems projects, and organisations sitting on large volumes of fragmented information. Read more about how I work.

Can you work as a subcontractor inside a larger contract?

Yes. Subcontract project workstreams are already part of the way I scope assignments, and primary contractors are a core audience for this page. Send a project brief or review the case studies.

Can you build the system and help with the final report?

Yes. Structure, retrieval, synthesis, drafting support, and review can sit inside one delivery chain. See the White Paper evidence workflow, the Palestine recovery project, and the report writing workflow guide.

What kinds of material can you work with?

Projects can include spreadsheets, forms, folders, submissions, interviews, workshop notes, case studies, reports, internal records, and document libraries. Read the document preparation guide.

Can you help with public submissions and consultation material?

Yes. Public submissions, consultation material, and traceable synthesis are a clear service theme. See the White Paper evidence workflow and read the stakeholder submissions guide.

Do you build AI tools without human review?

No. The safer position is practical AI inside a governed workflow with human review still in place for judgement, claims, and sign-off. Read about AI-ready knowledge environments and the decision-ready insight guide.

Where should I start if I am not sure which service I need?

Start with the project brief. The contact flow already captures project type, timeline, budget range, systems or data involved, and preferred next step, which makes it the best starting point for this page. Send your project brief.

Let's talk

Send your brief and I'll help scope the right next step

This page is built for projects with messy information, reporting pressure, evidence-heavy delivery, weak internal retrieval, or AI-ready knowledge system needs.