ML/AI is expected to disrupt every industry profoundly. However there are several bottlenecks in achieving the full potential. Gyrus, with its experience in this space, attempts to make the transition to use ML/AI in businesses smooth, remunerating and rewarding. Gyrus built several building block technologies to make this transition seamless. The usual bumps in the road to implement ML/AI stems from various areas such as data residing in several silos, incomplete data, asynchronous data logging, annotation of data, yielding poor quality datasets are addressed with proven techniques. The ML/AI algorithms are targeted to specific environment with metrics of accuracy, precision and recall pertaining to the use-case.