Key Take Aways
- Public sector collections require earlier engagement, particularly after a first missed payment, before debt escalates to summons or enforcement.
- Customer engagement remains the central challenge; people in financial difficulty often avoid contact with local authorities, utilities and creditors.
- Middle-income households are increasingly struggling, often without prior experience of debt or knowledge of available support.
- Payment hierarchies are shifting, with some customers prioritising credit cards and overdrafts because these support day-to-day living.
- Council tax and utility arrears can be deprioritised by customers, even though these are priority bills.
- Cost pressures are broad-based, including food, fuel, energy and reduced disposable income.
- Many people are not claiming exemptions, benefits or discounts to which they may be entitled.
- A single-customer view across local authority departments could improve outcomes and reduce duplicated collection activity.
- Departmental silos and data-sharing concerns remain barriers to holistic support.
- Outsourced welfare support can provide capacity and expertise that local authorities may not have internally.
- Preventative intervention can reduce wider downstream costs linked to health, mental health, social care and children’s services.
- Human engagement remains essential, even where AI improves identification, triage and prioritisation.
Innovation
- A “whole person” approach to local authority debt, viewing the citizen across multiple obligations rather than by department.
- Early-stage intervention immediately after the first missed payment, using supportive language rather than demand-led messaging.
- Third-party engagement to rebuild trust where customers are reluctant to speak directly with local authorities or utilities.
- Use of AI to identify missed support opportunities, segment customers and accelerate case prioritisation.
- Combining AI-led identification with human-led conversations to capture nuance, vulnerability and unstated needs.
- Financial education programmes in schools, colleges and universities to build earlier money-management capability.
- A preventative collections model that links debt resolution with wider public-sector cost avoidance.
Key Statistics
- Council tax collection rates were described as typically above 90%.
- Some local authorities were described as collecting around 97–98% of council tax.
- Unpaid council tax was referenced as being around £6 billion outstanding.
- Welfare Together was described as having identified £825,000 in benefits.
- Welfare Together was described as having collected over £200,000 in arrears for clients.
- Backdated disability premium examples were referenced at around £6,500, £7,000 or £8,000.
- The new Crisis Resilience Fund was described as coming in from April.
- The discussion referenced a five-year horizon in which AI is expected to become more embedded in processes.
Key Discussion Points
- How local authorities can engage customers earlier, before statutory escalation.
- Why customers often avoid contact when they are struggling financially.
- The growing pressure on middle-income households.
- The practical difference between “can’t pay” and “won’t pay”.
- The role of benefits, exemptions and discounts in reducing arrears.
- The limitations of digital-only support routes for some customers.
- The importance of asking “are you okay?” rather than simply demanding payment.
- The opportunity for local authorities to move towards a single customer view.
- The barriers created by departmental silos and GDPR concerns.
- The business case for outsourcing welfare support where internal capacity is limited.
- The role of AI in identifying customers who may otherwise be missed.
- The need to retain human judgement and empathy in customer support.
Description
This podcast features a discussion with Tracy Stone, Director of Welfare Together, about the changing nature of financial difficulty, council tax arrears, utility debt and local authority collections. It explores the importance of early intervention, customer engagement, benefits maximisation, financial education, departmental coordination, AI-enabled identification and human-centred support. The discussion positions preventative welfare engagement as both a customer outcome priority and a potential route to reducing wider public-sector costs.
RO-AR.com contact list
