That doesn’t mean bad service goes unnoticed. The feedback just shows up somewhere else: in complaints filed with the state commission, in performance metrics written into rate plans, and in investigations after a storm.

The commission-level feedback may lead to severe financial losses. In July 2026, the New York Public Service Commission announced $50.1 million in penalties against five utilities that missed their 2025 customer service standards, which included customer satisfaction surveys, complaint rates, and call answer rates. That same month, after storms left hundreds of thousands of Michigan customers without power, the Michigan Public Service Commission received more than 1,500 complaints, many about inaccurate restoration estimates. It ordered utilities companies to report on how they communicated with customers and how accurate those estimates were.

Scrutiny intensifies as rising monthly bills leave customers with far less tolerance for poor service. J.D. Power’s 2025 U.S. Electric Utility Residential Customer Satisfaction Study states that satisfaction has fallen to 499 on a 1,000-point scale, the lowest across its residential utility studies, while average monthly electric bills have climbed 34% since 2020 to $189. The same study found that satisfaction rises when utilities send timely outage alerts and make billing and self-service easier, even when costs are high.

When engineering AI for utilities, this is the foundation that must guide the design, and the principle behind Talkdesk Utilities Experience Cloud: a contact center judged less like an enterprise sales channel and more like a vital public service.

AI-powered customer experience software, built for utilities.

The scorecard is written in the contact center.

Many of the numbers used to judge a utility come from customer contacts: how quickly calls get answered, how many customers escalate to a formal complaint, and how reliably outage updates are communicated. These metrics represent the operational benchmarks state commissions measure. And when they review a major outage, customer communication is part of the review, not a footnote.

That changes what good automation looks like. In a competitive business, AI in the contact center is usually measured by its impact on cost and conversion. For utility providers operating under regulatory oversight, every answer AI gives also needs to stand up to scrutiny long after the interaction ends.



A wrong answer costs more than a slow one.

A customer who waits two extra minutes is frustrated. A customer who is told the power will be back by 6 p.m. and is still in the dark at midnight becomes a complaint, and possibly a line in a commission report. So the first design question for Talkdesk Utilities Experience Cloud wasn’t how much the AI could say. It was what the AI should never say without a source.

That produced a few fixed rules:

  • Restoration times come from the utility’s outage management system, never from AI’s own estimate.

  • Identity is verified, for example with a one-time passcode, before any account information is shared.

  • A report of a gas smell or a downed line is an emergency, not a troubleshooting conversation. The issue is captured and routed immediately to the appropriate emergency response team, while the customer receives safety instructions.

  • Security is built-in, not bolted on: payment card data is captured securely by the utility’s payment provider ensuring transaction safety while the platform complies with PCI DSS Level 1, SOC 2, ISO 27001, and GDPR/CCPA requirements.



Three moments that decide the score.

Most customers only think about their utility at a few predictable moments. That’s where Talkdesk Utilities Experience Cloud AI agents do their work.They identify the customer by phone number, email, or account ID and find the right account and service location.



Storm day.

Volume arrives all at once, and most people are asking the same question. The AI agent checks the outage management system at the customer’s address. If there is one, it shares what the utility has published and signs the customer up for updates. If there isn’t, it opens a new outage report. When customers get answers and a promise of updates, they have less reason to call back, and every update sent before the phone rings is capacity the team gets back when it needs it most. Reports of a gas smell or downed line skip the queue entirely.



Bill day.

When bills rise, “why is my bill so high?” is the question most likely to turn into a dispute. The AI agent can compare the customer’s usage with the previous period and explain the difference in plain language. In the same conversation, it can share the balance and payment history, send a copy of the statement, and send a secure payment link. An explanation on the first contact is one less escalation.



Move day.

Starting, stopping, or transferring service involves dates, addresses, and sometimes a field visit. The AI agent handles the service request, books, reschedules, or cancels a field appointment if one is needed, and sets up notification preferences for the new service.



Keep the customer information systems. Change the conversation.

Utilities spend significant time and resources implementing their customer information systems (CIS). Modernizing the contact center shouldn’t require reopening that investment. Talkdesk Utilities Experience Cloud runs on Talkdesk Customer Experience Automation (CXA) platform and connects to the systems a utility already has through prebuilt integrations.

Customer data maps into a utilities data model (accounts, contract accounts, premises, meters, outage events, service orders), for AI agents to understand that one customer can hold several contract accounts, or that a service premise isn’t the same as a mailing address.

Behind the scenes, an orchestrator transfers the conversation, and context, between AI agents, so an outage call that turns into a billing question doesn’t start over. When the issue requires escalation, the call is routed to a human agent who can see the customer’s details, billing information, and service status pulled live from the CIS on the agent workspace. Outage information, GIS maps, and contextual guidance are the next additions to that workspace.



Start where the scrutiny is.

An investor-owned utility answering to a state commission, a municipal water district answering to a city council, or a rural co-op answering to its members don’t share a playbook. Talkdesk Utilities Experience Cloud is modular, so each can start with the use cases that carry the most volume and the most scrutiny, often outages and billing, and add others on their own schedule.

That also makes success measurable using metrics leadership already tracks. Repeat calls during outages, billing escalations, call answer rates, and complaint volumes are already being measured, and in some states they’re incorporated into rate plans. Those are the numbers a first deployment should move.



Earning the right to serve.

Utilities don’t compete for customers. They compete for trust, and they’re graded on by commissions, city councils, and co-op boards, and by customers at the moments when a wrong answer hurts the most.

Every automated interaction and live handoff either reinforces that trust or puts it at risk in front of regulators, city councils, and rate-case dockets. When performance is graded in public hearings and rate decisions, contact center technology can no longer be treated as a back-office utility; it is the frontline of regulatory resilience and public credibility.

Are your highest-volume customer journeys prepared for the next extreme weather event or rate adjustment? Explore how Talkdesk Utilities Experience Cloud helps utilities automate high-scrutiny interactions, safeguard public trust, and consistently meet regulatory standards without overhauling core CIS infrastructure.

Author Luis Catarino

About Luís Catarino

Luís Catarino is a senior product manager at Talkdesk. He works on industry-specific customer experience solutions for utilities, commercial and residential services, and life sciences. Luís believes AI works best when it's built for how an industry actually operates, and he focuses on building AI agents that understand the real workflows of the businesses he serves.

AI customer service for utilities FAQs.

AI enables utilities to automate customer requests, provide faster support, and give agents better access to customer information. AI agents can handle tasks such as reporting outages, answering billing questions, checking service status, processing payments, and explaining energy usage. AI can also analyze customer and operational data to provide proactive outage updates or alert customers to unusual consumption before they contact the utility.

Yes. AI agents can handle large numbers of interactions simultaneously, which helps utilities manage higher volumes during storms and outages. They can provide outage information, capture outage reports, share restoration updates, and answer routine questions while human agents focus on more complex or urgent cases. Proactive AI-powered notifications can also reduce inbound demand by giving customers information before they need to call.

Utilities protect customer data by applying the same security and governance controls used across their technology environment, including access controls, encryption, authentication, data masking, and audit trails. AI systems should also have clear rules governing what data they can access and what actions they can take. Human oversight and escalation are especially important for sensitive interactions involving safety, payments, or regulated processes.

AI agents can use consumption and account data to help customers understand when and how they are using energy. They can explain unusual usage, identify patterns that may be driving higher bills, and provide personalized recommendations for reducing consumption. When connected to smart-meter and billing data, AI agents can also direct customers to relevant energy-efficiency programs, services, or rate plans based on their individual usage patterns.

The timeline depends on the utility’s existing technology, the AI use case, and the number and complexity of systems involved. A focused deployment, such as automating a specific customer service workflow, can be considerably faster than a broad transformation involving CRM, customer information systems (CIS), billing, meter data, and outage management systems. Platforms with prebuilt connectors and APIs can reduce integration work by allowing utilities to add AI capabilities without replacing their existing systems. Talkdesk Utilities Experience Cloud includes an out-of-the-box SAP S/4HANA integration, and an Oracle integration is currently in development.