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AI-driven debt prevention in the
cost-of-living era

A strategic roadmap for UK energy suppliers to transition 
from reactive collections to proactive, AI-driven support.

UK household energy debt reached a record £4.43 billion in 2025, creating unprecedented pressure on utility suppliers. We partner with your organization to enable early intervention, protect vulnerable consumers, and improve recovery rates. Our strategic approach ensures compliance with Ofgem expectations and aligns with the principles of the Energy UK Vulnerability Commitment.

The structural challenge facing domestic suppliers

The data confirms a significant trend in the energy market. In Q2 2025, Ofgem reported that household energy debt reached £4.43 billion, an increase of over £750 million from the previous year. Of this total, £2.9 billion is attributed to 2 million customers without repayment arrangements. This equates to an average of £1,716 per account, a 42% rise since Q2 2023.

These figures represent a broader socioeconomic crisis, with over 6 million UK households now facing fuel poverty. Traditional, non-segmented collection methods are often insufficient for today's requirements. These legacy processes struggle to maintain a balance between effective debt recovery and the empathy required at this scale.

Strategic insights within the roadmap

Preventing debt through early intervention

We utilize existing data sets to identify financial risk at the earliest possible stage. By March 2024, two-thirds of domestic meters in Great Britain were smart meters, providing essential live usage data. We show how AI-enabled behavioral scoring integrates this data with payment histories to flag potential issues during customer acquisition. This intelligent monitoring helps prevent bill shock and identifies fictitious debt early.

Implementing precision segmentation

When a payment is missed, a targeted response is essential for successful recovery. We provide AI-driven segmentation that evaluates a customer's ability to pay, total balance, and historical contactability. This objective process matches every account to the most appropriate intervention. For instance, a customer who simply missed a deadline receives a digital reminder, while a household in genuine hardship is prioritized for a specialist agent.

Engaging through dynamic communication

Static dunning cycles often fail because customer behaviors vary. We outline how dynamic omnichannel journeys adjust the timing, channel, and messaging based on individual preferences. Our solutions leverage engagement data to deliver reminders when customers are most likely to respond, utilizing digital platforms to arrange payments without the need for traditional call queues.

Synchronizing organizational operations

Siloed data systems often prevent a comprehensive view of the customer. We demonstrate how workflow automation and a centralized customer record can automatically route billing disputes and vulnerability indicators to the correct internal teams. Our platforms help you transform fragmented data into decisive, coordinated action.

Recovering with objective judgment

Managing aged debt requires a structured and measured approach. We provide frameworks for flexible repayment plans based on verified affordability data and optimized field operations. These processes prioritize home visits based on the probability of productive contact. Additionally, we address the strategic application of legal enforcement as a necessary final option.

Ready to implement decisive solutions?

The £4.43 billion debt challenge can't be resolved with incremental updates to legacy systems. Suppliers that prioritize prevention, utilize intelligent segmentation, and support their agents with data-driven insights will likely recover more debt while rebuilding consumer trust.

Download the complete roadmap to access our full framework, which includes practical process maps, the five key success metrics used by leading suppliers, and technology recommendations aligned with Ofgem standards.

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