ADVISE

AI strategy & opportunity review

Find the opportunity. Define a realistic path forward.

We look at your processes, data, systems and goals to find where AI can create practical value, and where a simpler fix is the better answer.

When it fits

Is this the right starting point?

You can see an opportunity, or you are under pressure to "do something with AI", but you need clarity before committing budget and staff time.

Scope

Opportunity discovery

Map how work actually gets done and where time, errors or delays concentrate.
Readiness assessment

Check whether the data, systems and team are ready for what is being proposed.
Use-case prioritization

Rank ideas by value, feasibility and risk, including the ones to leave alone.
Solution design

Sketch the architecture and the people-side changes before anyone writes code.
Build-vs-buy decisions

Compare off-the-shelf tools with a custom build, honestly and in plain language.
Responsible AI

Identify privacy, security and oversight questions early, so they shape the design.

A focused two-week engagement, shaped around the decisions that need to be made before a build.

It starts with a short call to confirm scope. You then receive a written proposal tailored to the work.

Related work

Founder-built systems, described without client names or unpublished results.

Public health DHIS2 integration In development

Problem: Public health teams spend a lot of time running the same indicator queries in DHIS2 and turning the results into reports.
Approach: A conversational layer that turns plain-language questions into structured requests to the DHIS2 Analytics API, using validated indicator definitions, with a deterministic fallback when the AI is unsure.
System: An analytics assistant that answers indicator questions from DHIS2 data and produces tables, charts and report-ready summaries.

Internal operations Role-based access Built

Problem: Operational knowledge was scattered across drives and manuals, so senior staff kept answering the same policy questions.
Approach: A retrieval-augmented assistant with role-based access control, so each person only gets answers from documents they are allowed to see, plus routing of unresolved questions to the right team.
System: An internal assistant that answers from authorized documents with citations and turns questions it cannot answer into routed support tickets.

Tell us what you are trying to improve. We reply within two business days.