Principles of Implementation and the Three-Phase Roadmap
The implementation of YDURA is structured as a three-phase strategic engagement designed to mitigate operational risk and guarantee a rapid return on investment. This phased approach ensures that the utility establishes a validated technical baseline before deploying complex AI-driven modules.
The initial phase is a low-risk, high-value technical audit of the utility’s current infrastructure. This phase identifies operational boundaries, data refresh rates, and the actual scope of on-board applications. It involves mapping manual workflows—such as handwritten dispatcher logs—to quantify the operational risks associated with unstructured data. The deliverable for this phase is a Comprehensive Network Applications Gap Analysis Report.
Building on the findings from Phase 1, Phase 2 proposes specific YDURA modules to close the identified gaps. This includes the design of digitized switching procedures and the finalization of the Key Management Indicators that will be delivered via the Indicator Layer. A critical component of this phase is the proposal of "Missed Applications," such as Predictive Asset Performance Management (P-APM) for high-voltage assets like large power transformers.
The final phase involves the modular rollout of the YDURA platform. The Information Layer is prioritized first to ensure data readiness for all subsequent functional modules. The utility may choose a "Build vs. Buy" strategy, contracting for custom integration engines while sourcing best-in-class third-party software for specialized applications like Unit Commitment. This phase concludes with a "Train-the-Trainer" program and a long-term sustainment and support agreement.