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Every new AI or analytics project started from scratch across roughly 1,200 systems. Agile Brains helped a utility define 25 reusable data products, map the sources behind them, and sequence the roadmap to build them.
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A single-point restoration estimate was set up to fail. In a proof of concept, Agile Brains replaced it with probabilistic prediction windows calibrated to how restorations really behave, and a policy that matches the window to the outage.
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Manual review reached only a small sample of a high-value invoice stream. In a proof of concept, Agile Brains built a machine-learning framework that screened all 216,000 records and narrowed them to 1,847 transactions ranked for audit.
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Asset data lived in five systems that didn't talk to each other. Agile Brains engineers helped build one governed data foundation that puts self-service asset analysis in engineers' hands and sets up predictive maintenance.
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Idling penalties topped $5 million in a year and were climbing fast. Agile Brains engineers helped build a daily analytics dashboard to prevent idling and a generative AI solution to contest the summonses the utility shouldn't be paying.
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Ten million assets, 5,000 workers and an unsupported legacy platform. Agile Brains built the mobile application and REST integrations that moved field crews to real-time, paperless work, rated five stars by 96% of beta users.
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An IT organization of 600 people with 1,200 systems to manage needed speed without losing security. Agile Brains assessed, trained and restructured the teams, then delivered an omnichannel mobile portfolio on Azure.
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Nine months into an ETRM implementation, Agile Brains stepped in as system integrator and took the platform live in ten, with 50+ accounting and operational reports and a trained energy management team.
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