Agents that do the routine work across the energy value chain — forecasting generation, load and prices, drafting bids, watching deviation, balancing energy from feeder to consumer, reconciling collections and settlements, reading maintenance records and drawings, and checking every data product before it is used. Nothing that touches grid switching, plant control or pipeline safety is ever done by an agent, and no bid is submitted by an agent: a named engineer, officer or trader decides.
These are agent designs from our AI & Agentic Engineering practice, mapped to the energy value chain for discoms, generators and grid operators, oil and gas, and mining and metals. Agents linked to the case study mirror work we have delivered or platforms we have built; the live agent demo runs on banking sample data under the same controls.
Scheduling desks get plant- and pooling-station-level forecasts and SLDC / RLDC schedule options they can trace, and plant engineers see performance drift before it costs fuel or deviation charges.
Forecasts solar and wind generation by plant and pooling station for every fifteen-minute block, from weather, irradiance and plant history, with a confidence band; publishes it as a data product.
Compares scheduled with actual generation, explains deviation charges block by block and drafts re-schedule options for submission to the SLDC or RLDC.
Tracks availability, PLF, heat rate, auxiliary consumption and curtailment against design and flags drift with the operating conditions behind it.
Control rooms see congestion, trips and asset health on one timeline, with every alert carrying its evidence.
Watches line and transformer loading and flags corridors heading for congestion, with the flows and outages behind them.
Reconstructs trips and outages from event logs and relay records and drafts a root-cause note for the protection team.
Scores transformers and substation equipment from test, inspection and loading data and ranks them for maintenance.
Loss, vigilance and revenue teams see where energy and money go missing, from feeder to consumer, and consumers get correct bills and faster answers.
Balances energy input with billed energy by feeder and distribution transformer each month and flags the loss pockets.
Scores premises for theft and meter tampering from consumption patterns, tamper events and peer comparison, and drafts an inspection list.
Validates smart prepaid and conventional meter reads, flags gaps, stuck and reversed meters and low prepaid balances, and proposes estimated reads with the reason for each.
Reads complaints and disputes, classifies them, pulls the meter and billing history and drafts a reply or a correction.
Matches collections from counters, UPI and bill-payment channels and subsidy receivables against bills, and explains every break.
The trading desk gets forecasts, positions and DSM exposure it can trust by gate closure; agents draft bids and reconcile settlements, and a trader submits every bid.
Forecasts DAM and RTM prices and the portfolio load by fifteen-minute block, with confidence bands, and publishes them as data products before bidding opens.
Drafts DAM and RTM buy and sell bids from forecasts, own generation, PPAs and limits, balancing the portfolio and showing the expected cost of each option.
Watches schedules against actuals through the day and flags blocks heading for deviation charges, with the likely cost under the current settlement rules.
Tracks REC holdings, Green DAM / TAM positions and VPPA obligations against the renewable-purchase obligation and drafts buy or sell options.
Matches exchange, bilateral and DSM settlement statements with schedules, bids and invoices every day and explains every break.
Field engineers ask the asset record by voice in their own language; integrity teams get survey data clean at source and drawings pre-checked.
Answers engineers' questions about assets by voice, in more than one language, from the maintenance system and technical documents, with on-demand charts.
See the delivered build →Checks cathodic-protection survey readings against the protection criterion at the point of capture and flags under-protected sections with GPS and photos.
See the delivered build →Reads piping isometric drawings with AI vision, flags likely design errors and drafts a corrected schematic for the designer.
See the delivered build →Plant heads get a daily view of what changed at the furnace and the kiln, and sustainability teams get numbers that hold.
Tracks OEE, downtime and kiln utilisation by plant and explains the day's biggest variances.
See the related build →Computes energy and CO₂ per tonne by plant and line and flags where intensity moved, with the inputs behind it.
Maps ESG and BRSR Core requirements to the evidence held, flags gaps and drafts readiness notes.
See the delivered build →Maintenance planners trace every recommendation to the signal behind it, and nothing safety-critical waits in an inbox.
Learns from condition data and failure history to flag assets likely to fail and drafts the work order and parts list.
Classifies free-text work orders and inspection notes into failure modes and components with GenAI.
Recommends spares levels by asset criticality, lead time and failure history.
Finance, regulatory and ESG teams get filings and disclosures with lineage to the meter, and every data product they rely on is checked before they use it.
Builds an energy and cost passport per site from billing and operational data, scores it and runs what-ifs on diesel price, tariff and solar.
See the delivered build →Assembles the data pack for tariff petitions and true-ups with lineage to source and drafts the commentary.
Checks every published data product against its contract — schema, freshness SLA such as "published by 09:00 IST for DAM bidding" and quality rules — and raises a breach to the named owner before consumers use it.
See the data marketplace →Policy decides what goes straight through; people approve everything else; a kill switch halts all agents. The live demo runs on banking sample data — the same controls apply to every Energy & Utilities squad.