A straight answer about what is wrong with your information, what it would take to fix and what that would cost. It takes 4 to 6 weeks and stands on its own, whoever does the work afterwards.
Before anyone builds anything, you need a clear picture of what you have, where it breaks and what fixing it is worth. We look at where your information comes from, what happens to it between arrival and reporting, where that process fails, and what a working system would need to do.
The audit can be scoped to the question you are asking. The price and deliverables stay the same.
A free assessment is a sales exercise with a predetermined answer. This one takes real time and gives you something you can use whether or not you work with us again.
Twenty organisations report in twenty formats and someone senior turns it into one report every cycle.
The same person, site or account sits in three systems with three different values, and nobody can say which is right.
An auditor asks how a figure was derived and the answer has to be rebuilt by hand, or cannot be rebuilt at all.
The records exist but cannot be searched, and retrieval takes days.
Something was built and paid for, and everyone went back to spreadsheets.
Brownie Points, for the Social Employment Fund
We audited years of reporting from the Social Employment Fund's implementing partners, built the evidence base behind it, and now run the public portal that shows what the fund's partners reported, by partner, theme and indicator.
No. It is the usual first step because it prices the build honestly. If your problem is already well defined, we can scope a build directly.
Where it is stored and processed, and whether AI may be used on it, is agreed with you before any source material is shared, and written into the scope.
Traceability
A working method for keeping every claim in a report linked to the source behind it, from intake to sign-off.
AI-ready data
The dated record of South Africa's withdrawn draft AI policy, and the citation checks that stop invented references reaching a public draft.
Reporting and M&E
Turn vague programme outcomes into SMART indicators with a definition, data source, owner and reporting use that hold up at review.
AI-ready data
How to tell whether a weak AI answer comes from the model or from old, duplicated, vague or conflicting source documents.
The working system, built and handed over, with the trail back to source intact.
Once the system is running, we process what comes in, run the checks, produce the reporting cycle and put our name against the output.
Already won a contract and need an evidence team inside it? Research firms and lead consultants bring us in for that. How that works
Tell us what you are working with. We will tell you plainly whether we are the right fit.
Tell us what you are working with and what it has to answer. We will tell you plainly whether we are the right fit.
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