Billing queries are the single biggest driver of contact into most energy and utility suppliers, “why is my bill so high?”, “my direct debit changed”, “this estimate looks wrong”. Each one ties up an agent, and at scale they swamp the contact centre. AI can resolve the routine ones straight from your billing data, and tee up the rest for a human.
Why billing queries cost suppliers so much
A billing query is rarely simple to answer well. The agent has to open the account, read the billing history, work out whether the charge is driven by an estimated read, a tariff change, a direct debit re assessment or genuine higher usage, and then explain it clearly. That is skilled, time consuming work, and it happens tens of thousands of times a month. When volumes spike (a price cap change, a cold snap), queues build, complaints rise, and regulatory scrutiny follows.
Most of those queries fall into a handful of repeatable patterns. That is exactly the kind of work AI is good at.
What OptiFlow does
OptiFlow is an AI layer that reads incoming billing queries, from email, web form, chat or your CRM, and resolves the routine ones using the data already in your billing platform. It identifies what is actually driving the query, drafts a clear, accurate explanation grounded in that customer’s real billing history, and either sends it (within the guardrails you set) or hands the agent a ready to review response. Complex or sensitive cases, vulnerability, disputes, complaints, are routed straight to a person with the context already assembled.
The result is faster resolution on the routine majority, shorter queues, and agents freed to spend time on the cases that genuinely need judgement.
How it works
- Capture, OptiFlow ingests the query from whichever channel it arrives on.
- Diagnose, it reads the account’s billing history and pinpoints the driver: estimated read, tariff/price cap change, direct debit re assessment, or higher consumption.
- Resolve, it drafts a clear, accurate explanation from the customer’s real data, ready to send or for an agent to approve.
- Escalate, vulnerability, complaints and genuine disputes are flagged and routed to a human with full context.
On top of your billing platform, no rip and replace
OptiFlow does not replace your billing engine, CRM or customer service tooling. It layers on top of the systems you already run, acting on the data they already hold. There is no migration project, and your agents keep the tools they know. It fits alongside the wider supplier operations picture on our AI for energy & utilities page, and complements the compliance side work described in our AI for energy suppliers overview.
See how OptiFlow resolves routine billing queries from your own data and escalates the rest. Get a quote →
Related reading: UK energy data flows guide and AI for energy & utilities.
Frequently asked questions
Will OptiFlow replace our billing system?
No. OptiFlow is an AI layer that works on top of your existing billing platform, CRM and customer service tools, using the data they already hold. There is no migration or rip and replace.
What kinds of billing queries can it handle?
The routine, repeatable majority, high bill explanations, estimated read corrections, direct debit re assessments and tariff or price cap change questions, answered from the customer\u2019s own billing history. Complex or sensitive cases are escalated to an agent.
How does it handle vulnerable customers or complaints?
These are detected and routed straight to a human, with the account context already assembled. OptiFlow handles the routine load so your team has more time for the cases that need care and judgement.
Does the customer get an accurate answer or a generic template?
The explanation is generated from that specific customer\u2019s real billing data, the actual driver of their charge, not a generic template, so it is both accurate and personalised. You set the guardrails for what can be sent automatically versus reviewed first.
How quickly can it go live?
Because there is no system to replace, most suppliers are live in weeks. We typically start with a proof of concept against a sample of your real billing query traffic.