Energy & infrastructure
For asset operators and energy managers: evaluate storage, distributed generation, demand response and low-carbon investment under technical and commercial constraints.
The decisions behind the industry.
Energy teams balance price exposure, flexible demand and reliability. Decision intelligence makes the operating conditions behind an energy recommendation explicit, including production commitments and asset limits.
Typical decisions
- How should storage, on-site generation and flexible demand operate as prices, carbon objectives and asset limits change? Energy & low-carbon operations
- Which decisions can AI support, who remains accountable, and what must be explained before a recommendation is executed? Enterprise AI & decision governance
- Can teams reconcile orders, stock and capacity across systems, trust their freshness and explain which records informed a decision? Data governance & lakehouse foundations
Start with the operating evidence.
Choose one site and an agreed tariff period. Verify meter intervals, equipment operating windows and storage limits with site operators before assessing different load and dispatch schedules.
Agree how value will be measured.
Begin with one decision, a named business owner and a baseline period. Review recommendations alongside the existing process before connecting execution. Agree the data refresh cycle, approval limits, exception handling and measures of service, cost and risk. Outcomes depend on the agreed scope and evidence; illustrative scenarios are not promised customer results.
Related capabilities
- Energy & low-carbon operations Coordinate energy assets, demand and commercial constraints within a shared energy–carbon–finance model.
- Enterprise AI & decision governance Move from an AI experiment to a governed workflow, with private deployment, human approvals and traceable execution.
- Data governance & lakehouse foundations Build the data foundation for enterprise decisions. AEVO connects governance, data lakes and Medallion pipelines to analytics, AI and decision optimization.
See the decision with synthetic data.
- Battery storage multi-market trading optimizer (opens in a new tab) How should a grid-scale battery divide its capacity across day-ahead, balancing reserve and intraday markets while protecting asset life?
- Decarbonization investment & procurement optimizer (opens in a new tab) Which mix of efficiency projects, renewable power and certificates meets our Scope 1 and 2 targets at the lowest lifecycle cost over five years?
Related perspectives
Start with a decision that matters.
Tell us where cost, capacity, risk or cash is limiting performance. We will help define a focused evaluation before committing to a wider transformation.