# AI agents for utilities and the public sector.

> Agents and data platforms for utilities, operators and public bodies, built into the asset, field and customer systems already in place.

Faults, field work and public messages handled with care.

Agents and data platforms for utilities, operators and public bodies, built into the asset, field and customer systems already in place, with people approving what matters.

- 01 Ageing assets, fewer engineers Networks need more maintenance each year, while experienced field staff retire.

- 02 Every message is scrutinised Outage notices, bills and replies must follow guidelines and regulation, word for word.

- 03 Reporting never stops Regulators, boards and the public expect numbers that are current and explained.

## Agents across the service.

The agents Twistag builds most often for utilities and public bodies, from fault to report. Each one keeps a person on the decisions that matter.

### 01 · Triage

#### Fault triage agent

Classifies reported faults, checks known outages and books a visit or sends a status update.

### 02 · Maintain

#### Maintenance scheduling agent

Turns sensor alerts and work orders into a crew schedule, with parts checked before anyone is dispatched.

### 03 · Inform

#### Reply drafting agent

Classifies each message, pulls up the account and drafts a reply in the house voice, checked against written guidelines.

### 04 · Bill

#### Cash collection agent

Tracks overdue invoices, sends reminders tuned to each customer’s history and logs every promise to pay.

### 05 · Comply

#### Policy question agent

Answers staff questions on internal policy and regulation from approved sources only.

### 06 · Report

#### Reporting agent

Answers business questions in plain language from the data warehouse, showing the numbers and the query behind them.

## Utilities work.

## Three steps from question to daily use.

- 01 Find where it pays back 2–4 weeks · from €5,000 Map the service from fault to report, score each process on value, effort and risk, and leave with a shortlist and a 90-day plan.AI Readiness Sprint→

- 02 Build the first agent 6–12 weeks One agent on real data, connected to the asset, field, CRM or billing systems already in place, with people approving each action.Multi-agent Systems & Agent Engineering→

- 03 Scale and govern Ongoing More agents on one platform, each with its own access rights, EU AI Act risk class and audit log.Agent Governance & Security→

## About AI in utilities and the public sector.

Which processes should get an agent first?

Which systems do the agents connect to?

How long until the first agent runs every day?

Where does customer and network data stay?

How does the EU AI Act apply here?

Who owns what is built?

## Let’s talk.

Tell us about the company and what it needs. A senior lead takes it from there.

A senior lead replies within one working day.

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Source: https://twistag.com/industries/utilities-public-sector