A bilingual board control room on your data foundation.
Give leadership one trusted, governed view, an owned board-control-room application built on nVisionIT.Framework, with Microsoft Fabric and Power BI as the engine, certified KPI packs, natural-language Q&A and traceable, cited answers, delivered in a fixed 4 to 6 week scope.
Fragmented, manually-prepared packs give stale, inconsistent numbers. A certified semantic layer gives leadership consistent, current, defensible figures, with cited, traceable AI answers.
Owned on nVisionIT.Framework, on your existing Data Foundation, a defined, fixed-scope engagement.
Pre-built, certified metrics on the Fabric semantic layer, the same numbers, every period.
Ask questions in plain language; get traceable, cited answers via Copilot.
Board reporting in English and French, with row- and role-level security.
A defined 4 to 6 week engagement on your existing Data Foundation.
Scenario views and full traceability from every KPI back to source.
Each accelerator is IP we own and maintain. We deploy it on premises, in your own cloud or as a service we host, and you start from working software.
A costed roadmap, a working prototype, the target architecture and a measured value baseline, in 2 to 4 weeks.
We deliver and invoice per milestone for work delivered and reviewed; the budget is refined with you each step.
Stop at any milestone boundary, work done is billed, nothing more.
Deployed on your premises or in your own cloud, or hosted by us in South Africa or Mauritius. You keep control of your data and your deployment.
Consistent, certified KPIs for every board meeting.
A board-ready pack in hours.
Cited, traceable numbers leadership can stand behind.
Microsoft-first, API-first, Zero Trust and Responsible AI, an nVisionIT-owned application on nVisionIT.Framework, bilingual (English/French), and deployed on your premises, in your own cloud or in an environment we host, to meet your data-residency requirements.
Second of three. We compared what we had produced against what anyone had actually asked for. A large share of it could not be matched to a question, and that changed how we choose what to work on.
First of three. We believed more output would create more value. Measuring outcomes rather than activity changed what we believed, and the biggest lesson turned out not to be about AI.
Ask why an AI programme stalled and the answer comes back technical. Underneath it there is usually a question nobody had formed properly, with nobody waiting for the answer.
Book a briefing. We will scope a Sprint 0 that ends with a working prototype you have used, measured against a baseline we agree with you.