Hassans’ Optician Co.: An AI Layer on Their Existing Operations Stack

We started by mapping which Power BI reports branch managers actually opened versus which ones sat unused, since that told us where attention already existed and where an AI layer could add real signal instead of more noise. The integration stayed deliberately narrow: read from existing Power BI datasets and the operations software's data layer, without touching the underlying system staff already knew how to use.

Building the interface in Power Apps mattered as much as the AI underneath it - staff got a familiar tool rather than a new system to learn, which is what actually drove adoption. Our Cloud, MLOps & Security practice handled the Azure-side hardening in parallel, since an AI layer with access to operational data needs the same access-control discipline as the core system it reads from.

What generalizes from this engagement is less about Hassans' Optician Co. specifically and more about sequencing: get reliable data capture in place before automating decisions on top of it, and migrate incrementally so the people doing the work never lose the ability to fall back to what they already trust while confidence in the new system builds. That pattern holds across most of the Retail & Healthcare engagements we take on, not just this one, and it's usually the difference between a rollout that sticks and one that quietly reverts to the old spreadsheet within a month.