AI Agents for Energy & Utilities
FISTA Solutions builds energy and utility AI agents that sit strictly outside the control path: triaging anomalies and alarms, planning maintenance by asset risk, drafting outage communications, investigating meter exceptions, and answering customer billing questions from read-only data.
- 150+
- projects delivered
- 50+
- companies served
- 99.9%
- verified uptime
- 47%
- efficiency gains
- 12+
- countries reached
What we build
What can AI agents do in energy and utilities?
Energy agents group related alarms and propose probable cause, rank maintenance work by asset risk and crew availability, draft outage updates for approval, investigate meter validation failures, and answer billing and usage questions from read-only account data.
- 01
Anomaly triage agent
Groups related alarms and meter anomalies, proposes probable cause with supporting data, and routes to the right team.
Operations - 02
Maintenance planning agent
Ranks candidate work by asset risk, history, and crew availability into a schedule a planner approves.
Assets - 03
Outage communication agent
Drafts customer and stakeholder updates from operational status, with human approval on every external message.
Communications - 04
Meter exception agent
Investigates validation failures against historical patterns and proposes estimation or field visits for review.
AMI - 05
Customer service agent
Answers billing and usage questions from read-only account data, escalating disconnects and hardship cases.
Customer
Requirements
What guardrails do energy and utilities agents need?
Utility agents work near critical infrastructure and regulated customer processes, so the guardrails are categorical: no control-path access, human approval on external communication and dispatch, regulated processes routed to staff, and complete traces retained.
| Guardrail | Why it matters here | How FISTA implements it |
|---|---|---|
| Control isolation | Grid operations must never be influenced by an AI component. | Read-only acquisition from historians and operational feeds, with no write path and documented network boundaries. |
| External communication | Outage and billing messages carry regulatory weight. | Human approval on every customer or stakeholder message, with templates and approval rules by severity. |
| Regulated processes | Disconnects, hardship, and disputes follow mandated procedures. | Intent detection routes these to staff and the formal process, with the interaction recorded in the case file. |
| Data protection | Usage data is personal and sensitive. | Purpose-scoped retrieval, masking for support roles, consent-aware sharing, and access logging. |
| Evidence retention | Regulators may review how customers were treated. | Full traces per interaction retained on the schedule your compliance team sets. |
Where AI fits
Which energy and utilities workflow should you automate first?
Start with meter exceptions or alarm triage. Both are internal, high-volume, and measurable, and neither requires the agent to speak to a customer or influence an operational decision.
- 01
1. Investigate meter exceptions
High volume, clear correctness criteria, and entirely back-office.
- 02
2. Triage alarms
Grouping and probable-cause proposals reduce noise without touching control.
- 03
3. Plan maintenance
Risk-ranked schedules that a planner approves, using data the utility already holds.
- 04
4. Draft outage communications
Approval-gated messaging that improves customer experience during events.
- 05
5. Serve customers
Read-only billing and usage answers once grounding and escalation rules are proven.
Cost and timeline
How much does an AI agent for energy and utilities cost, and how long does it take?
Cost is driven by data volume and integration breadth; timeline by security review for anything near operational technology. FISTA does not quote blind: the scoping call returns an agent design, a boundary architecture, and a phased estimate.
Security review governs the schedule when work approaches operational technology. Designing read-only boundaries early and documenting them keeps that review short and keeps the agent layer clearly outside the control path.
Data access is the other gate. Meter, asset, and outage data often live in systems with limited interfaces, so the integration work is scoped explicitly rather than assumed.
Send the scope you have, even if it is a paragraph. You get a written brief, an architecture sketch, and a phased estimate before any commitment.
Get a scoped quoteDelivery
How does FISTA deliver an AI agent into production?
FISTA delivers agents in four gated phases: a discovery sprint that picks the workflow and writes the agent specification, a design that names tools, permissions, and approval points, a build with an evaluation harness and shadow runs on real work, and a production release with traces, dashboards, and rollback.
- 1
Select and specify
Choose the workflow with a measurable outcome, map its systems and edge cases, and write the agent spec with success metrics.
OutputAgent specification, golden test set
- 2
Design the guardrails
Tool inventory with least-privilege scopes, approval gates, escalation paths, data handling, and the evaluation plan.
OutputTool and permission matrix
- 3
Build and shadow-run
Implement tools as MCP servers or connectors, iterate against the evaluation harness, and run in shadow mode on live inputs.
OutputShadow-mode results, eval scores
- 4
Release and observe
Graduated rollout, full traces, cost and quality dashboards, on-call runbook, and a change process that re-runs the evals.
OutputProduction agent with SLOs
Why FISTA
Why choose FISTA Solutions to build your energy and utilities agents?
FISTA builds utility agents with a documented boundary between analytics and control, approval on every external message, and regulated processes routed to staff automatically. Work is contracted through a US entity with full IP assignment.
Energy & Utilities specifics
- No agent component has a write path to operational systems; the boundary is documented for your security team.
- Every customer or stakeholder message requires human approval, with rules by severity and audience.
- Disconnect, hardship, and dispute intents route into the regulated process rather than being handled conversationally.
- Traces are retained per interaction on your compliance team's schedule.
How FISTA engineers
- Spec-Driven Development: every deliverable starts as a written specification with acceptance criteria, so scope is testable before it is built.
- AI-native delivery: engineers direct coding agents under review gates and evaluation harnesses, compressing build time without loosening verification.
- Official Anthropic partner, with production experience across Claude, OpenAI, Google, and open-weight models, chosen per workload rather than by default.
- One accountable delivery lead, weekly demos on your environment, and code in your repositories from week one.
What you get as a client
- 150+ projects delivered for 50+ companies across 12+ countries since 2017, with 99.9% verified uptime on systems we operate.
- A US entity (FISTA Solutions Inc., Wilmington, Delaware) for contracting, invoicing, and IP assignment, with an engineering center in Faisalabad, Pakistan for cost-efficient senior capacity.
- US business-hours overlap for standups and reviews; written decision logs so nothing depends on a meeting you missed.
- Flexible engagement: fixed-scope build, embedded forward deployed engineers, or a dedicated team that you can scale month to month.
Clear answers
What teams ask before deploying agents.
Straightforward guidance for evaluating scope, fit, and the next step.
01Can an agent affect grid operations?
No. Agents consume operational data read-only through historians and reporting feeds, with no write path to control systems. The boundary is documented in the architecture so your OT and security teams can verify it.
02Can agents message customers during an outage?
They draft messages from operational status; a human approves before sending. Approval rules vary by severity and audience, and every message and approval is recorded.
03How do you handle disconnects and hardship cases?
By detecting the intent and routing it into your formal regulated process with staff handling, rather than letting an agent conduct a conversation that carries regulatory obligations.
04Can agents work with our AMI data volumes?
Yes, over the time-series platform that serves your analytics, with pre-aggregation so agent queries do not scan raw interval data. Volume is sized during discovery against your meter count.
05How long until deployment?
An internal exception or triage agent typically reaches supervised use within weeks once data access exists; customer-facing agents follow security and regulatory review, which discovery dates.
Scoped in writing before you commit
Triage the noise; keep the control room human.
Bring the exception queue, the alarm volume, or the outage messaging load. The scoping call returns an agent design and a boundary architecture.