Bring Your EAM Data to Life with AI-Powered Business Intelligence

Transform Your Rail EAM Data with AI-Powered Business Intelligence
— Watch Now

Designed to work seamlessly with our industry-leading EAM solution, our standalone BI platform helps transport agencies unlock the full value of their operational data through powerful, intuitive analytics.

In this video, you will see how the BI tool connects directly with our Enterprise Asset Management system, along with other sources such as workforce, customer service and paratransit platforms, to create a unified, interactive dashboard tailored for transport operations. Whether you are tracking failures, repeat issues, cost per mile or PM compliance, users gain a clear, real-time view of what is happening and where to focus.

What makes this BI tool different? Conversational AI. Using natural language prompts, users can ask questions like “Summarise warranty claims by asset type” or “Show failures by month for 2023” and instantly receive visual insights or executive-ready summaries, without needing technical skills.

Fully customisable, intuitive and lightning-fast, our BI platform transforms static EAM data into actionable intelligence, enabling operations teams and senior leaders alike to make smarter decisions, more quickly.

Watch the video to see how your EAM data becomes dynamic, visual and
truly usable.

Key takeaways you will get from watching the video

• Enterprise Dashboard Overview
  • The dashboard consolidates data from multiple systems, EAM, customer service, workforce management, paratransit, etc.
  • Designed to provide a single, unified view of transit operations across the organization.
• Customisable KPIs
  • Displays essential KPIs such as:
    • Failures & repeat failures
    • Cost per mile
    • PM (Preventive Maintenance) on-time ratio
    • Warranty claims
    • Asset performance indicators
  • KPIs are fully customizable for each agency’s specific needs.
• Natural Language Interaction
  • Users can interact with the dashboard using natural language prompts via AI Copilot.
  • Example: “Give me a summary of this report” → AI provides a text and bullet point summary.
  • Ask contextual queries like:
    • “Show failures by equipment type for 2023”
    • “Count of failures for buses in 2023”
• Fast, Responsive Filtering
  • Filters by date, asset category, or equipment type with real-time responsiveness.
  • Instant insights without the need to run traditional reports.
• AI-Driven Report Creation
  • Easily create and pin visualizations using natural language.
  • Dashboards can be built or extended in seconds, not hours.
• Data Model Foundation
  • The system’s strength lies in its underlying data model, which powers accurate AI interaction.
  • Designed to allow non-technical users to “have a conversation” with their data.
• Executive-Ready Reporting
  • Visuals and summaries can be pinned to executive dashboards.
  • Enables quick access to real-time, relevant insights for decision-makers.