Case studies
Each example connects a real working problem to a clear build and a measurable delivery result—on AWS and GCP.
Yesway · Retail & Convenience
Automating asset retirement obligation management
A cloud-based ARO platform that replaced manual spreadsheets with automated, audit-ready compliance.
Yesway needed to replace error-prone, manual Asset Retirement Obligation (ARO) calculations with a system that could keep pace with evolving accounting standards like ASC 410-20. Manual spreadsheet tracking made it difficult to maintain accuracy across a growing number of sites and left compliance reporting vulnerable to human error.
We deployed our cloud-based ARO Manager SaaS platform on AWS, automating the full asset retirement obligation lifecycle from initial cost estimation through GL accretion and depreciation posting. The platform runs on a serverless AWS architecture, requiring no infrastructure management on Yesway's part.
The platform eliminated manual calculation errors, streamlined compliance with ASC 410-20, and gave Yesway real-time visibility into asset retirement liabilities across every site—with faster close cycles from automated GL postings. The platform is live in production at yesway.com, powering ARO compliance across Yesway's retail network.
Read the full case studyEnergy Sector Client · Energy
Enterprise AI adoption across multiple business units
A multi-division rollout of cloud and AI tooling that cut operational costs by half.
A multi-division energy company was relying on scattered spreadsheets and manual reporting across business units. Leadership wanted AI-powered insight into operations, but needed to stay compliant with strict industry regulations while rolling out new tooling across multiple teams at once.
We implemented a suite of Vizio's cloud and AI solutions—covering data pipelines, compliance automation, and AI-powered reporting—tailored to the client's existing AWS environment and rolled out incrementally across business units to limit disruption.
The engagement delivered a 50% reduction in operational costs, stronger regulatory compliance across every business unit, and faster, more confident decision-making backed by AI-powered insights.
Read the full case studyUtility Operators · Gas, Hydro & Water Utilities
Predictive maintenance with Utility IQ
A machine learning platform that forecasts equipment failure before it happens.
Utility operators relying on calendar-based maintenance were spending money servicing healthy equipment while unplanned failures still slipped through between scheduled checks—driving up both maintenance costs and downtime risk.
We built Utility IQ, a predictive maintenance SaaS solution that uses AWS-powered machine learning (SageMaker, IoT Analytics, Kinesis, and Glue) to monitor infrastructure in real time and forecast degradation before it causes downtime.
Operators saw up to a 40% reduction in maintenance costs, advance warning of developing equipment issues, and longer infrastructure lifespan through condition-based rather than calendar-based maintenance.
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