30% of inbound inquiries can be contained or eliminated via real-time AI driven engagement at customers channel of choice.StraViso's AI-driven Contact Center platform unifies CIS, OMS, and GIS data to deflect calls, automate billing inquiries, and deliver agent-assist at the moment it matters most.
Electric, gas, and water utilities face a perfect storm: aging infrastructure drives outage spikes, billing complexity frustrates customers, and workforce retirements drain institutional knowledge — all while regulators demand higher service standards.
The majority of inbound contact center volume is billing-related — payment due dates, usage disputes, rate clarifications, and autopay questions — all handled by costly live agents who should be resolving complex issues.
When service interruptions hit, call volume spikes 3× or more. Without proactive outbound notifications, customers flood inbound lines seeking ETR and status updates — crushing agent capacity at the worst possible moment.
Agents toggle between disconnected CIS, OMS, and GIS systems in real time — increasing handle time, raising error rates, and leaving customers waiting while agents hunt for the full account picture.
StraViso maps its Contact Center campaign directly onto utility operations — delivering call deflection, proactive outage and billing notifications, and live agent-assist over a single unified data view.
StraViso's purpose-built AI agent for utility billing interactions autonomously handles the highest-volume, highest-cost call type — billing enquiries — freeing agents for work that actually requires human judgment.
Customers ask questions in plain English — "Why is my bill higher this month?" — and Billing Concierge pulls usage data, rate tier info, and seasonal comparisons to explain clearly, without an agent.
Offers and enrolls customers in budget billing, deferred payment, or assistance programs autonomously — reducing payment-related disconnections and inbound follow-up calls.
Identifies anomalous reads, meter issues, or seasonal patterns and resolves disputes at first contact — or auto-escalates with full context attached so agents resolve in minutes, not days.
Enrolls, modifies, and confirms autopay mandates and paperless billing preferences in a single conversational turn — removing a top-5 agent call driver entirely.
When rate cases result in price changes, Billing Concierge proactively contacts affected customers with personalized impact summaries — suppressing the predictable call spike.
Deployed across IVR, web chat, mobile app, and SMS — meeting customers on their preferred channel while maintaining consistent data access and conversation continuity.
Every interaction is logged with timestamps, resolution codes, and outcome data — feeding directly into regulatory reporting and quality assurance workflows without manual effort.
Recognises when a case exceeds AI confidence thresholds and hands off to a live agent with full conversation history, customer sentiment score, and recommended resolution path attached.
StraViso orchestrates CIS, OMS, and GIS data in real time — giving Billing Concierge and human agents a complete, unified picture of every customer and every asset.
StraViso's utility CX platform is purpose-fitted for the three major distribution segments — each with distinct pain points, all sharing the same high-cost contact center burden.
Storm-driven outage call surges are the defining contact center challenge. StraViso proactively notifies affected customers with ETR updates via IVR and SMS — suppressing call volume spikes by up to 31% and lifting CSAT by up to 30% without increasing headcount.
Safety-critical communications during pressure events and planned maintenance require zero ambiguity. StraViso orchestrates compliant outbound notifications, safety FAQs via conversational AI, and leak-report escalation pathways — keeping agents free for genuine emergencies.
More fragmented budgets and smaller contact center teams mean every call is expensive. Billing Concierge's self-service layer resolves usage queries, leak adjustments, and conservation programme enrolments — delivering enterprise-grade CX on a municipal budget.
Independent market research and utility deployments validate the ROI of AI-driven contact center transformation.
AI billing bots focused on high-volume, low-complexity billing intents achieve up to 90% containment — resolving enquiries without live agent involvement.
Utilities that push proactive outage and billing notifications before customers call see customer satisfaction scores rise by up to 30 percentage points.
A utility deploying proactive AI voicebot for outages, billing changes, and maintenance schedules reduced inbound call volume by 31% within the first operational quarter.
Customers resolved via messaging automation — rather than live phone — report 88% satisfaction scores, matching or exceeding live-agent benchmarks for routine enquiries.
Organisations effectively implementing AI contact center automation report a 10–20% increase in operational ROI, with automation tools saving knowledge workers an average of 5 hours per week.
7x Expansion of Operational AI in Utilities. Scaling intelligent operations across utility ecosystems with enterprise-grade AI and automation.
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