Roam AI ESP Platform Case Study | AI Oil & Gas Platform by Wolfpack Digital

The platform translates complex operational data into a clear, actionable visual language that allows oil & gas operators to monitor wells, receive recommendations, and act in real time, without requiring deep technical specialization.

Recommendations Inbox

Provides a dedicated inbox where users can view ESP recommendations associated with each organization.

Multi-Organization Management

Allows users to manage and switch between multiple organizations within the same platform.

Wells Management & Single Well Overview

Enables users to create and edit wells and access individual well pages that display custom graphics and plotted data.

Organization Monitoring, Alerts & Historical Data

Provides organization-level monitoring, including access to historical data such as comments and setpoints, along with alerts and comments management.

The challenge

The oil & gas industry is still largely analog, with highly specialized digital tools that are difficult to use for non-technical operators. The main challenge was translating complex Electric Submersible Pump (ESP) and well-performance data into a clear, human-friendly visual language that is easy to understand, quick to navigate, and reliable in real operational environments, while avoiding heavy custom graphics and staying within strict delivery timelines.

The solution

We redesigned the Roam AI ESP platform and implemented a new front-end focused on clarity, speed, and actionability. The new UX transforms complex operational data into intuitive workflows, centered around the Recommendations Inbox and real-time well monitoring. By using a scalable, component-based framework, we ensured high performance, reduced custom development, and delivered a future-proof interface optimized for real-world oil & gas operations.

design elements

technologies used

Nuxt

Vue

our work

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