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

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:

Lack of Real-Time Asset Visibility – Difficulty in tracking IT and enterprise assets across multiple locations.
High Maintenance Costs & Downtime – Reactive maintenance leading to unexpected failures and increased repair costs.
Complex Regulatory Compliance – Difficulty in aligning asset management with evolving compliance standards (ISO, GDPR, NIST, etc.).
Integration Challenges – Lack of seamless connectivity between IT, ERP, and IoT systems.
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.