AI Engineering for Customer Operations

We automate billing exception processing, service order backlogs, and meter data reconciliation — built and operated for you.

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Common Questions About AI for Utility Customer Operations

How do we start?
We start with a 2-week AI Roadmap. Our engineers spend time inside your customer operations — watching your team process billing exceptions, mapping your service order flows, measuring your volumes. The output is a ranked list of workflows by ROI, with implementation timelines and expected savings. No commitment to build beyond the roadmap.
What does my team do differently on day 1?
Almost nothing. The first workflow runs alongside your existing process — AI processes billing exceptions in parallel while your team works normally. Once accuracy is validated (typically 2-3 weeks), we switch over. Your team starts managing complex cases instead of processing every exception manually. The transition is gradual, not a big bang.
How does this work with our CIS and billing systems?
We build on top of your existing systems. We integrate with Oracle CC&B, SAP IS-U, and every major CIS and billing platform. The AI layer connects systems that don't talk to each other today. Your IT team keeps managing infrastructure. We build the automation that sits between your systems.
What about PUC customer service requirements?
Every workflow we build respects your public utility commission requirements. For customer communications, the AI drafts and routes — your team reviews and approves. We maintain audit trails for every automated action. The AI doesn't override your customer service rules; it eliminates the manual processing work.
How do we measure success?
We define success metrics with you before building anything. Typical metrics: billing exception resolution time, service order processing speed, meter data reconciliation accuracy, and call center deflection rate. We set up dashboards that show before/after in real-time. If the numbers don't improve within 90 days, we fix it on our dime.
What's the total cost for year 1?
Two options. Per Workflow: $25K-$75K per workflow, best for starting with one high-impact process like billing exception processing or service order automation. Dedicated Team: ~$22K/month for 2+ AI engineers embedded in your operation, building multiple workflows continuously. Most customer ops teams start with one workflow, prove the ROI, then move to a dedicated team.

Your customers deserve faster service.

Book a free 30-minute AI Assessment. We'll map your highest-volume customer operations workflows and show you the 3 processes with the highest ROI.