Industries · Power, Water, Gas & Renewables
AI for Energy and Utilities
Aaga builds AI and software for electric, water and gas utilities, renewable energy operators and energy service companies. We put smart meter and sensor data to work, answer outage calls at scale, predict equipment problems, plan field crews and resolve billing questions, connected to the systems your operation already runs on.
- Answer outage calls during storms with live status and restoration estimates
- Turn smart meter and sensor data into alerts, forecasts and clear dashboards
- Spot failing transformers, pumps and inverters before they trip
- Schedule field crews and explain bills without long call queues
- Outage and billing calls answered
- 24/7
- One region, asset class or call type first
- Pilot
- Clients across the US, Canada, UK, Netherlands, UAE and India
- 100+
Energy and Utility Challenges We Help Solve
Utilities run critical networks with aging assets, rising data volumes and customers who expect real-time answers.
Outage call surges
When storms or faults hit, call volumes jump in minutes and customers can't get through to report an outage or hear when power is back.
Meter data nobody uses
Smart meters and sensors produce huge volumes of interval data, but most of it only feeds billing.
Reactive maintenance
Transformers, pumps, valves and inverters often get attention only after they fail, which means outages and emergency callouts.
Field crew planning
Dispatchers juggle planned work, emergencies, skills, permits and travel time with spreadsheets and phone calls.
Billing questions and disputes
High-bill complaints, estimated reads, move-ins and payment plans make up a large share of contact center work.
Where AI Works in Energy and Utilities
Each use case runs on data utilities already collect: meter reads, sensor feeds, work orders and customer records.
Smart meter and IoT analytics
Ingest AMI and sensor data to detect anomalies, possible tampering, leaks and voltage issues, and forecast load at feeder or zone level.
Outage call voice agents
An AI voice agent identifies the caller's premises, checks your outage system for known events, shares the estimated restoration time and logs new reports.
Predictive maintenance
Models on SCADA, sensor and maintenance history flag assets likely to fail, so engineers can plan the work before it becomes an outage.
Field-service scheduling
Optimize crew schedules and routes against skills, priorities, appointment windows and travel time, and re-plan when emergencies arrive.
Billing support automation
Explain bills from meter and tariff data, set up payment plans within your rules, and process move-in and move-out requests on voice and chat.
Renewables monitoring
Track solar and wind asset performance, compare output with expected yield and flag underperforming strings, inverters or turbines.
Energy and Utility AI and Software We Build
Each solution links to the service behind it. Most utilities start with calls or one asset class.
IoT and smart meter platforms
Device connectivity, data ingestion, time-series storage, edge AI and dashboards for meters and sensors.
Outage and billing voice agents
Inbound outage reporting and billing calls, plus outbound outage and payment notifications, with escalation to staff.
Predictive maintenance models
Failure prediction and anomaly detection on asset and sensor data, with explanations engineers can check.
AI agents for field operations
Agents that create work orders, propose schedules, notify customers and update records across systems.
Utility data and analytics
Pipelines and dashboards that join meter, asset, outage and customer data in one place.
Customer and field apps
Self-service portals, outage maps and mobile apps for field crews, built around your workflow.
From Operations Review to a Live Utility Pilot
Operations and data review
We map the process, the systems involved, such as CIS, MDMS, OMS, SCADA historians, GIS and work management, and the data each one holds.
Security and safety design
We agree on network boundaries, read-only access to operational systems, safety scripts and where people must stay in control.
Scoped pilot
We build one workflow, such as outage calls for one region or failure prediction for one asset class.
Parallel run
It runs alongside your current process so your team can compare predictions, schedules and call outcomes before relying on them.
Go live and extend
We switch over, monitor accuracy and customer outcomes, then extend to more regions, assets or call types.
Aaga vs a Typical Large IT Services Model for Utility AI
Large IT services firms suit multi-year programs such as full CIS or ERP replacements. Focused AI projects usually need a smaller, faster team.
| Aaga | Typical large IT services model | |
|---|---|---|
| Starting point | One region, asset class or call type | Multi-phase program with a long discovery stage |
| Team | Senior engineers you work with directly | Larger blended teams with account management layers |
| Systems | Connects to the CIS, MDMS, OMS and work management you already run | Often part of a wider core system replacement |
| Best fit | Targeted AI on calls, meter data, assets and crews | Global, multi-thousand-person outsourcing programs |
Comparison describes typical delivery models, not any specific company.
What Is AI for Energy and Utilities?
AI for energy and utilities is the use of machine learning, IoT analytics, voice agents and optimization to run power, water and gas networks more reliably and serve customers faster. It turns smart meter and sensor data into early warnings, answers customers when call volumes spike, predicts which assets need attention and helps plan field work. The networks stay under the control of your engineers and operators. AI gives them better information, sooner.
Aaga is an AI-native engineering company with clients across the USA, Canada, the UK, the Netherlands, Dubai (UAE) and India. We build the data platform, the AI and the integrations together, so models work on live data from your own systems.
Which Utility Workflows Should You Start With?
Start where the data already exists and the outcome is easy to measure.
| Workflow | Data AI uses | Good first pilot |
|---|---|---|
| Outage calls | Outage system events, premises and account data | One region or storm season |
| Billing questions | Meter reads, tariffs, bills, payment history | One call type, such as high-bill queries |
| Meter analytics | AMI interval data, events, weather | One district or customer segment |
| Predictive maintenance | SCADA, sensor readings, maintenance history | One asset class, such as distribution transformers or pumps |
| Crew scheduling | Work orders, skills, locations, priorities | One depot or work type |
Smart meters and IoT data
Advanced metering infrastructure (AMI) produces interval data for every connection. Joined with sensor feeds from substations, pumping stations or solar sites, it can reveal leaks, possible tampering, voltage problems and load trends long before they show up in complaints. Our IoT development team builds the ingestion, device connectivity, time-series storage and dashboards. Our machine learning team builds the forecasts and anomaly models on top.
Outage call handling with voice agents
An outage voice agent is an AI system that answers outage calls in natural speech. It identifies the caller's premises from their phone number or account, checks your outage management system for a known event and gives the latest estimated restoration time. If there is no known event, it logs a new report for the control room. It can answer many calls at once, which matters most in the first hour of a storm. Safety comes first: reports of downed lines, gas smells or flooding follow your emergency script and go straight to people. See our voice AI agents.
Predictive maintenance
Predictive maintenance uses sensor and SCADA readings, asset age, inspection results and failure history to estimate which assets are likely to fail. Engineers get a ranked list with the reasons behind each score and decide what to inspect or replace. Where failure history is thin, we start with anomaly detection and improve as data builds up. The same methods apply on the plant floor, as described in AI for manufacturing.
Field-service scheduling and billing support
Scheduling models balance planned and emergency work against crew skills, permits, appointment windows and travel time, and re-plan when an emergency arrives. Billing assistants explain a bill using meter reads and tariffs, set up payment plans within your rules, and handle move-in and move-out requests. Disputes and vulnerable customers go to trained staff.
How Does Aaga Handle Security and Regulation?
Utilities are critical infrastructure, so security is designed in from the start. We prefer read-only connections to operational systems, keep AI outside control networks, segment networks, encrypt data and log every action. We design systems to support the data protection laws and sector rules that apply to you, such as GDPR, India's DPDP Act and requirements from energy regulators and utility commissions. We work with your security and compliance teams and don't claim certifications on your behalf. This is general information, not legal advice.
Why Utilities Choose Aaga
- Senior engineers, directly. You work with the people building your system.
- Pilot first. One region, asset class or call type before a wider rollout.
- Edge to cloud. Connectivity, data platform, AI and apps in one team.
- Affordable. Lower cost than large IT services firms for comparable scope.
See all industries we serve or explore our data and analytics services.
Frequently Asked Questions
Utilities use AI to analyze smart meter and sensor data, answer outage and billing calls, predict equipment failures, schedule field crews and monitor renewable assets. Aaga builds these and connects them to your CIS, MDMS, outage, asset and work management systems.
Yes. An outage voice agent identifies the caller's premises, checks your outage management system for a known event, gives the current restoration estimate and logs a new report if there isn't one. It can handle many calls at once during storms. Calls about safety hazards such as downed lines follow your emergency script and go straight to people.
No. We build AI that reads operational data, predicts and recommends. Switching, dispatch and control decisions stay with your operators and control systems. We prefer read-only connections to operational technology and keep AI outside control networks unless your security team decides otherwise.
Typically sensor or SCADA readings such as temperature, load, vibration or pressure, plus asset age, inspection results and failure and maintenance history. If history is thin, we start with anomaly detection and improve the model as more data and labeled failures build up.
Yes. We work with AMI and meter data management data, sensor feeds over protocols such as MQTT, Modbus or DNP3 gateways, and exports from existing platforms. Our IoT team builds ingestion, storage and dashboards, and our machine learning team builds forecasts and anomaly models on top.
We design systems to support the security and privacy rules that apply to you, such as data protection laws like GDPR and India's DPDP Act, and sector rules from energy regulators and utility commissions. That covers encryption, role-based access, audit logs, network segmentation and hosting in your region. We work with your security and compliance teams and don't claim certifications on your behalf.
It depends on the data sources, integrations and any hardware. After a free consultation we give you a scoped pilot plan and budget range for one region, asset class or call type.
Fewer Outage Calls on Hold, Fewer Surprise Failures
Tell us the operational problem that costs you most. We'll show you how AI can help in a scoped pilot.
Discuss My Operation