Assets are fixed after they fail.
What it costsUnplanned outages, penalties and emergency call-outs.
What changesSensor and maintenance data predict failures, and work orders are raised in time.
Agentic OS · AgentsAI Transformation · Energy, utilities and renewables
Enterprise AI for assets, field crews and customers.
For power, renewables, utilities and energy services companies: agents that predict equipment failures, plan field work and answer outage and billing queries, alongside AI for regulatory reporting, procurement and safety, each approved by a person.
Where AI helps first
- AssetsFailures predicted early
- FieldCrews scheduled and dispatched
- CustomersOutage and billing queries
- MeteringEnergy and usage analytics
- ReportingRegulatory reports assembled
- ResidencyData kept in-country
Every agent action approved by a named person
Written for
COOs and asset directors, Heads of customer operations and Regulatory and HSE leaders
The question you came with
Why do we fix assets after they fail, and why do regulatory reports take weeks to assemble?
Part of Enterprise AI Transformation
Where it starts in energy and utilities. The first work handed to agents: predictive maintenance, field service scheduling and outage and billing agents. Each one drafts or flags, and a named person approves.
See the whole programmeWhat breaks in energy and utilities
If two of these are true, the rest of this page is about you.
Field crews are scheduled by phone and spreadsheet.
What it costsWasted trips, missed SLAs and overtime.
What changesField work planned by skill, location and priority, with a technician app and live status.
Agentic OS · FlowOutages flood the contact centre.
What it costsCustomers wait, and complaints and regulator attention follow.
What changesVoice and chat agents answer outage and billing queries from live data, in the customer's language.
Agentic OS · SignalRegulatory reports take weeks to assemble.
What it costsSenior staff pulled into spreadsheets every reporting cycle.
What changesReports assembled from governed data, with evidence and approvals recorded.
Agentic OS · PulseYour role
What changes for each of the people who sign off.
COOs and asset directors
Uptime, and maintenance spent where it matters.
- Failure risk by asset
- Planned work replacing emergency call-outs
Heads of customer operations
Fewer calls, faster answers during outages.
- Outage and billing queries answered by agents
- Handoff to people with full context
Regulatory and HSE leaders
Reports and safety evidence without the scramble.
- Regulatory reports assembled from governed data
- Data kept in the regions regulators require
What we build for energy and utilities
The capability on the left, what your team would notice on the right.
- Assets
Predictive maintenance
Sensor, SCADA and maintenance data used to predict failures and raise work orders in your maintenance system.
- Field
Field service scheduling
Crews dispatched by skill, location and priority, with a technician app, parts and SLAs.
- Customers
Outage and billing agents
Voice, chat and WhatsApp agents answering outage, billing and connection queries, with handoff to your team.
- Metering
Energy and metering analytics
Meter and building data analysed to find losses, faults and savings.
- Reporting
Regulatory and compliance reporting
Reports produced from governed data, with evidence collected as work happens.
- Infrastructure
Sovereign cloud and private AI
Data and models kept in-country, on infrastructure your security team controls.
Enterprise AI in energy and utilities, beyond sales
The same programme runs in operations, finance and service. These are the first workflows we usually see handed to agents. Each one drafts, checks or flags; a named person decides.
- Operations
Asset health summarised from sensor and maintenance data, with likely failures flagged to the asset manager.
- Field service
Work orders planned by skill and location, and job reports drafted from technician notes.
- Customer service
Outage and billing queries answered from live data, with handoff to a named person.
- Finance and procurement
Supplier invoices matched to contracts and work orders, with mismatches sent for review.
- Regulatory and HSE
Regulatory reports assembled from governed data; safety incidents logged and tracked to closure.
Where we start
Small, fixed and useful on its own. You decide after each step.
- Weeks 1 to 3
AI Transformation Review
Assets, systems, data and residency rules reviewed, and the first workflows ranked: usually predictive maintenance or outage queries.
- First pilot
One asset class or one channel
Failure prediction for one asset class, or an outage agent on one channel, with a baseline.
- Then
Field crews and reporting
Field scheduling and regulatory reporting, on in-region infrastructure.
Questions
Can you work with SCADA and OT data?
Yes, read-only and through approved connections. Operational control stays with your systems and people.
Our data must stay in-country. Is that possible?
Yes. We design for in-region and private infrastructure, with private models where public AI services are not allowed.
Do agents talk to customers during outages?
Yes, for status and billing questions, using live outage data. Safety-critical calls go straight to your team.
Where do we start?
With the AI Transformation Review. It names the first workflow worth handing to an agent.
Where to start
Fixed-scope offers that fit this industry. Each has a set timeline and a deliverable you keep.
Offer · Pilot
Private and Sovereign AI Setup
AI that runs in your region, on infrastructure you control, behind one governed gateway
Offer · Pilot
AI Voice Agent Launch
A voice agent live on your number for one use case, in your customers' languages
Offer · Assess
AI-Ready Data Assessment
A clear view of which data blocks which AI use case, and the plan to fix it
Keep going
The services, tools and rules that matter most in energy, utilities and renewables.
Services for energy, utilities
AI transformation for the agentic engine era
Start with a fixed-fee AI transformation review. We map your systems, data and teams against the six layers of Pegasus Agentic OS and name the first workflows to hand to agents. You keep the findings whether or not you work with us.