Case Studies

How SVCW Reduced Maintenance Costs with Equipment Tracking Software

Silicon Valley Clean Water (SVCW) faced challenges with siloed systems and inefficient processes across the lifecycle of its capital improvement…

Client:

Solutions Implemented:

Equipment Information Management System (EIMS)

The Problem

Silicon Valley Clean Water (SVCW) faced challenges with siloed systems and inefficient processes across the lifecycle of its capital improvement projects (CIP) and asset management. Critical asset data was scattered across financial systems, project management tools, and SCADA systems, leading to disconnected workflows between administrative functions like CIP planning and operations and maintenance (O&M) activities. This lack of integration resulted in difficulty tracking assets through their lifecycle, from design to operation, and limited the ability to proactively address maintenance needs. Engineering teams struggled to align O&M data with CIP planning, while financial teams lacked visibility into the long-term costs and lifecycle value of assets, resulting in suboptimal budget planning.

M365 Tools Used:

SharePoint Power Apps

Power BI

Power Automate

DataVerse

Azure

Challenges

SVCW required a unified solution to bridge the gap between CIP lifecycle management and asset management. The goal was to create a centralized system that integrates financials, project management, asset data, and O&M workflows. The solution needed to provide real-time insights and proactive AI capabilities to help engineering and O&M teams make data-driven decisions. Additionally, it was crucial to enable augmented reality tools for preventative and corrective maintenance tasks, ensuring seamless collaboration across departments while meeting regulatory compliance.

Solutions

Nexinite implemented a comprehensive Equipment Information Management System (EIMS) that transformed how SVCW manages assets and CIP planning. The solution unified financials, project management, and O&M activities into a single platform, emphasizing the lifecycle of assets. Key components included:

Asset Lifecycle Management:
Centralized all asset data from creation (design phase) to operation and maintenance, enabling seamless transitions between engineering, O&M, and financial teams.

Preventative and Corrective Maintenance:
Introduced scheduling tools and augmented reality (AR) for maintenance tasks, ensuring compliance with manufacturer guidelines and warranty conditions.

AI-Driven Insights:
Integrated AI agents to monitor conditions such as increasing corrective maintenance or end-of-life assets, proactively notifying engineering and O&M teams of potential risks.

CIP Planning Integration:
Leveraged O&M data to inform CIP project planning, ensuring alignment with plant performance data and enabling better budget forecasting.

Process Area Management:
Organized individual assets into process areas, creating a functional hierarchy that aligns with utility operations.

Bi-Directional Flow:
Established a feedback loop between financials, engineering, and O&M for CIP planning, asset creation, and asset data management.

Results

Streamlined Workflows: Engineering, O&M, and financial teams now operate cohesively within a unified system, reducing delays and miscommunication.

Proactive Maintenance: AI-driven agents provide real-time notifications for proactive decision-making, reducing unplanned maintenance by 40%.

Enhanced CIP Planning: Asset data directly informs CIP planning, resulting in more accurate budget forecasts and lifecycle assessments.

Increased Efficiency: Maintenance schedules aligned with AR tools and automated workflows saved SVCW an estimated 20% in operational costs.

Data Transparency: Centralized data eliminates silos, improving transparency and enabling cross-department collaboration.

By implementing a unified EIMS, SVCW now operates with a fully integrated approach to CIP lifecycle and asset management, enabling proactive, data-driven decision-making while reducing costs and improving operational efficiency.

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