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Artificial-Intelligence-Driven Management" is the axiomatic paradigm shift that replaces the Deming cycle with the Artificial Intelligence-assisted Plan-Predict-Act (PPA) cycle. Apart from its disruptive hermeneutic format and decisively extended reality, PPA-compliant management systems are the foundation of the sixth organizational maturity level, and of "Autonomous Digital Transformation", both of which regulate the collaboration of and with autonomous robots or anthropomorphic systems in real-time. The complementary characteristics of PPA- and PDCA-compliant management systems are identified and compared in very general terms. PPA-compliant management systems consist of collections of various AIDMCores that autonomously transform the external reality with recursively enhanced real-time decision making, which also includes their (optionally mobile) transient internal reality given by lateral and vertical collaboration and spontaneous phase transitions into different orders of organizational topologies. "Autonomous Digital Transformation" unfolds an innovation strategy, drives barrier-free collaboration, expands technical and management standards, and unifies technology platforms across all relevant domains such as production, administration, smart proprietary and non-proprietary environments on the Earth's surface and beyond. Humanoid collaboration, automation infrastructure, and system integration are also affected, all of which can catalyze the implementation of PPA cycles by leading mature organizations from industry and beyond. AIDMCores are verified and validated with PPA-compliant infrastructures, which are essential part of the hermeneutic format, and in addition are being used to generate organic nonlinear or exponential growth on a limited scale for value streams, smart factories, supply chains, and beyond. Achieved results demonstrate, that PPA cycles are capable of outperforming benchmarks compiled by PDCA-compliant management systems.
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Manfred Bernhard Schrettenbrunner (2024) studied this question.
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