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Measured Improvement

The concrete realization of the HyperAgility™ paradigm requires a robust platform of automation. With the inversion of the supply-chain, the Enterprise Architect becomes the focus of control and critical path. Orchestration of this process involves various Use Cases that leverage Generative AI, Declarative AI and CI/CD automation. At the heart of this process is Decision Centric Architecture (DCA), enabling robust full-stack solution declaration and generation in a risk mitigated fashion.

As a transformational leader you need to be able to facilitate the shift to AI-Native software engineering. This requires a self-organization process where teams can reduce the complexity of the endless noise they face from over eager vendors, methodologists and functional silos. Your teams need to ensure that bias is surfaced and mitigated, and you and your colleagues are accountable to achieve such maturity in an efficient manner when dealing with large scale IT portfolios involving hundreds of projects and products.

You know that all projects are not created equal. To optimize the usage of modern software delivery practice effectiveness, you need the ability to characterize each project quickly so you can understand the fit-for-purpose of the way-of-working choices made by teams.

You also know that teams need to ensure they are on the same page. Value Stream Networks illustrate overall workflow in a holistic manner, and provide for contextual, pragmatic guidance to be delivered at the reach of the enterprise. If only someone could dynamically generate these playbooks from the results of a choice architecture - this would not only save a lot of time, but everyone knows that process-ware becomes stale the moment it gets printed in pretty binders. Obviously the pretty "big pictures" being peddled out there won't cut it.

Reducing total costs of transformation requires an approach to contextualization that leverages automation such that valuable data is collected yet internal coaches are taught to "fish on their own" for sustaining the change. Artificial Intelligence in the form of an Expert System, leveraging choice architecture, a rules engine for risk identification and machine learning for causal analysis acts as a force multiplier, knowing that you really need to be spending your time solving the difficult problems with teams rather than sitting through the lengthy meetings of the past or filling your calendar with lowing lying fruit like stand-ups and planning sessions.

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