FRONT OFFICE AI FOR UTILITIES — THE COMPARISON
Utilities are sold one of two models: a customer-experience suite piled on top of the CIS that your reps operate from a console, or AI agents you assemble and configure per channel, priced per usage. No logos needed, because the same packaging habits dominate the market. Front Office was built on three different principles — and every answer to a customer comes from your approved tariffs, programs and policies only; every emergency goes to your emergency line.
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REAL AI - the whole Front Office is AI, not old software with an AI button. Give it your website: it learns your company, works from your approved knowledge and gets better with every answer you approve.
Live on this site right now — the assistant in the corner is the product · Award-winning AI — CES · ISE · TMCnet

One dashboard doing the jobs the others only track.
Across most of the market, every hire raises the software bill — the price follows your headcount, not the work getting done.
Credits, "AI actions", per-conversation fees, usage tiers. On many platforms the AI arrives as a second bill on top of the seats.
Enrich, draft, score, summarize, coach — designed to make YOUR people faster. Newer autonomous agents go further, but are typically configured per channel and priced per usage.
Fourteen utility jobs, three delivery models. The difference isn’t whether a capability exists somewhere — it’s what you must assemble, license and operate to get it. Descriptions reflect typical published product models, Aug 2026.
| The job | Traditional CRM model | Agent & copilot platforms | Zanus Front Office |
|---|---|---|---|
| Answer the storm-morning call surge | Your reps answer, with a contact-center suite, an IVR and a queue | Configure a voice agent, channels and usage separately | ✓ Built in — every caller answered at once on your numbers, 40 languages, nights and storm days included |
| Take the outage report and answer “when will it be back?” | The IVR takes the report; the estimate is a recording | An agent you train and maintain per channel | ✓ Filed with the address, the restoration status you published read back; no estimate invented |
| Start, stop or transfer service | A web form routed to a queue, read when someone gets to it | Agent invokes workflows you build and connect | ✓ Worked in minutes: identity per your rules, move date confirmed, meter visit booked |
| Explain the bill and the payment options | A rep looks it up; the arrangement is offered if the caller waited | Agent answers from what you connected; policies vary | ✓ Grounded in your approved policy; anything outside it goes to billing with the context |
| Book the technician visit | An all-day window from a scheduling module your dispatch maintains | Agent invokes calendar actions you connect | ✓ Booked inside the call into a real window, reminded, rescheduled from the message; crews synced |
| Call back the hang-ups | Nobody has time on a storm day | Possible if you build the workflow | ✓ Automatic: every abandoned call is called back with your greeting |
| Answer the rebate question and chase the application | A program portal customers must find and log into | Nudges from a program console you configure | ✓ Answered at 9 PM from your program pages; application link sent, half-finished forms followed up |
| File and route the service request | Cases in a console; billing says call engineering | Support agents configured separately | ✓ Filed complete — address, meter, since when — routed to the right department, customer updated until closed |
| Send the outage update, the reminder, the notice | Templates your staff trigger from a separate module | AI drafts; sending policies vary | ✓ Sequences you approve, in the customer’s language, stopping the moment a person should call |
| Brief the customer-service director | Dashboards you open and read | A to-do list for your reps | ✓ A did-it-for-you list: what was filed overnight, which neighborhoods called, who needs you |
| Train the new rep on tariffs and scripts | Months of shadowing on the floor | Not the product’s job | ✓ Role-play on your own tariffs and emergency script, productive in days |
| Keep emergencies with the emergency line | Depends on the rep and the IVR tree | Best effort, disclaimers apply | ✓ Your rules: a gas smell or a downed line gets your approved instructions and the transfer, every time |
| Call your customers before they call you | Reminder calls made by staff when there is time; otherwise a text | Build an outbound flow, connect telephony, meter the minutes | ✓ Auto-Call: an event, a funnel or a list triggers the call; the AI announces or converses, on your rules — Hi Mr. Patel, this is Fairview Water: a planned service interruption is scheduled Tuesday from 9 to noon in your area. |
| The bill | Per seat; grows with every hire and every storm-season temp | Per seat and/or per usage: credits, actions, conversations | ✓ One plan, chosen by outcome — your customers are never counted or charged |
Because the comparison is about the model, not the logo. A console your reps operate, portals customers must log into and metered AI on top is the norm across the utility market; naming brands adds nothing. If you are evaluating a specific product, ask the chat — it compares us to any vendor you name, point by point, from their published pages.
Every description of other models comes from typical published product pages, read August 2026, and describes what a utility must assemble, license, integrate to the CIS and operate to get the job done. Where a vendor differs, the chat will show you.
No. Your CIS stays the record of accounts, meters and bills; your outage management system stays the record of the grid. The Front Office is the system of work in front of them: calendars sync natively; connectors, webhooks and a read-only API feed what you authorize.
Give it your website. It learns your company. Then call it, chat with it, e-mail it — and decide. Nothing to install, nothing to cancel.
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Comparisons on this page reflect publicly available product and pricing information, verified Aug 30, 2026. Trademark notice in the footer below.