We identify what goals and objectives exist for a project, and work out how to measure them. We then setup the measurement systems to track those goals and objectives in realtime. With the measure systems in place, we are then able to perform actions and evaluate the impact they have on achieving those goals and objectives.

We map out the feedback loops that currently exist, as well as the feedback loops that will help improve the performance of the project. Once mapped out, we implement tools that will support those loops.

The performance of those feedback loops is analysed by the measurement tools that are in place, allowing us to measure not only the impact of actions on specific metrics, but also to evaluate their impact at a holistic level.

We find processes that are time-consuming and/or happen frequently, and identify ways to automate them. These processes can be eveything from automated software deployment, through to business-level processes like order fulfillment.

Building on top of the measurement frameworks and feedback loops, the automation work strives to achieve the optimal of a self-managing system, able to spot issues and correct them independently.