Project Overview
GasOps needed a faster, more intuitive way for users to access operational and compliance insights across multiple modules. We developed an AI-powered reporting and query experience that enables users to ask natural language questions and receive instant, context-aware answers without relying on technical teams to generate reports manually.
Industry
Gas Utility Operations Software
Initial Go-to-
Market Timeline
Initial data integration and pipeline setup took approximately 4–6 weeks, followed by 6–8 weeks for AI agent development, with ongoing iteration and tuning after launch.
Tech Stack
Team
Composition
Client Background
GasOps provides enterprise software for utility operations, supporting critical workflows across weld management, transmission work orders, operator qualifications, routesheets, inspections, and compliance-related processes.
As GasOps grew, so did the volume of operational and compliance data flowing through the platform. That data held real value, but extracting it required manual effort and technical involvement. Static dashboards existed, but they couldn’t flex to meet the unpredictable, ad hoc questions that real operations generate.
From manual report requests to self-service operational intelligence.
The Challenge
GasOps had valuable operational and compliance data spread across multiple modules; but accessing it required submitting requests to technical teams, waiting on manual report generation, and navigating static dashboards that couldn’t adapt to real-world questions.
For operations managers, compliance officers, inspectors, and field supervisors, this created a persistent bottleneck.
The cost wasn’t just inconvenience. Delayed reporting slowed decisions. Underutilized data meant missed signals. And a growing platform was being held back by a reporting model that hadn’t scaled with it.
Athenaworks designed and implemented an AI-powered operational intelligence layer on top of GasOps’ existing platform.
Users can now ask natural language questions:
and receive instant, context-aware answers pulled from data across multiple modules.
The foundation is an API-driven architecture integrated with Microsoft Fabric, which serves as the centralized operational data platform. Fabric handles ingestion, transformation, and structuring of cross-module data — weld operations, OQ compliance, transmission work orders, inspections — making it available in a unified, AI-ready format. The AI layer maps user questions to structured data retrieval, summarizes relevant information, and returns accurate, domain-aware responses without requiring technical intermediaries.
The result: GasOps shifted from a manual, request-based reporting model to a scalable self-service intelligence experience.
