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How ServiceNow ITAM & AI-driven solutions address the Top Enterprise Asset Management (EAM) challenges!

  • Writer: Rede Consulting
    Rede Consulting
  • Feb 14
  • 2 min read

Case Study: Optimizing Enterprise Asset Management with ServiceNow ITAM & AI


Client Overview:

A global enterprise struggling with inefficient asset tracking, high maintenance costs, compliance risks, and poor asset lifecycle management.


Challenges:

  1. Lack of Real-Time Asset Visibility – Difficulty in tracking IT and enterprise assets across multiple locations.

  2. High Maintenance Costs & Downtime – Reactive maintenance leading to unexpected failures and increased repair costs.

  3. Complex Regulatory Compliance – Difficulty in aligning asset management with evolving compliance standards (ISO, GDPR, NIST, etc.).

  4. Integration Challenges – Lack of seamless connectivity between IT, ERP, and IoT systems.

  5. Suboptimal Asset Lifecycle Management – Poor asset utilization and procurement strategies leading to financial losses.

Solution Approach:

REDE Consulting implemented a ServiceNow ITAM & AI-driven EAM solution, addressing the key pain points through:

✅ Automated Asset Discovery & CMDB Integration

  • Deployed ServiceNow ITAM Discovery to automate asset detection and eliminate ghost assets.

  • Integrated with CMDB for real-time asset tracking and centralized visibility.

✅ AI-Powered Predictive Maintenance

  • Leveraged AI/ML models to detect asset health anomalies and predict failures before they occur.

  • Automated maintenance workflows via ServiceNow ITSM to reduce downtime.

✅ Regulatory Compliance & Risk Automation

  • Implemented ServiceNow GRC/IRM to align asset management with compliance requirements.

  • AI-driven risk modeling to preempt compliance gaps and ensure continuous monitoring.

✅ Lifecycle Optimization & Cost Reduction

  • AI-driven insights to optimize asset utilization, procurement, and decommissioning strategies.

  • Financial tracking to prevent unnecessary purchases and maximize asset ROI.


Business Impact: 🔹 30-40% reduction in asset-related operational costs.

🔹 50% faster asset tracking and compliance reporting.

🔹 Significant reduction in downtime through AI-driven predictive maintenance.

🔹 Enhanced asset visibility leading to better decision-making and financial planning.


Conclusion:

With ServiceNow ITAM and AI, REDE Consulting transformed the client’s asset management approach, enabling automation, cost efficiency, and compliance adherence. This case study highlights the power of AI-driven ITAM in modern enterprises, ensuring smarter asset utilization and operational excellence.


Explore how REDE Consulting can optimize your asset management strategy with ServiceNow ITAM and AI.

 
 
 

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