- WHAT MAKES THIS DIFFERENT
Three things most consultants don't offer together?
Aying, what KPI is hiding, are ones a model can't ask on its own.
The result is a practice built around one standard: evidence that's simple 01. Gap diagnostics, not repetition - We don't re-run the M&E you already have. We find the silos, broken feedback loops, and translation failures sitting inside your existing system.
02. AI-augmented, human validated - AI moves the work fast, automated pipelines, drafted narratives, flagged risk. A human always validates before anything reaches a client or donor.
03. Built for every reader at once - The same evidence reads plainly for a field officer and holds up rigorously for an executive, no seperate version needed for each audience.
HOW WE WORK
​Four stages, one connected system
Diagnose
Find the silos and broken feedback loops in your current setup.
Design
Connect field data, program reporting, and decisions into one system.
Deploy
Add automation where it earns its keep, human oversight built in.
Devolve
Train local or government staff to run the system independently
An early-risk model built end to end
A WASH/Cholera district risk-flagging pilot, six field collected indicators, an explainable logistic regression model, and a dashboard that ranks districts by risk, with a mandatory human validation step before field action.
This is what "AI-augmented, human in the loop" looks like as a working system, not a slogan.






