Empowering Lenders with AI-Driven Hardship Management
Meeting Global Regulatory Expectations with Evidence, Automation & Empathy

Financial hardship management is no longer just a policy requirement — it’s an outcomes-based expectation. Regulators want to see consistent identification, timely referrals, fair treatment, and clear evidence across the full volume of customer interactions.

In May 2024, the Australian Securities and Investments Commission (ASIC) released Reports 782 and 783, highlighting critical shortcomings in how lenders identify, manage, and monitor customers experiencing financial hardship.

While these reports were issued in Australia, the themes they surfaced are not unique to one market. Regulators across the UK, the United States, and New Zealand are increasingly focused on the same core principles:

• Early identification of hardship and vulnerability
• Consistent and timely referrals
• Fair, customer-centric outcomes
• The ability to evidence compliance at scale

As financial pressure continues to rise globally, lenders are expected to move beyond policy statements and sampling-based reviews toward continuous, data-driven oversight of customer interactions.

CXEX AutoInsights provides a market-agnostic, AI-powered hardship analytics framework that supports lenders operating across multiple jurisdictions — enabling them to meet local regulatory expectations while maintaining a consistent global standard.

Common Regulatory Challenges Across Markets

Across Australia, the UK, the US, and New Zealand, regulators and supervisory bodies are converging on similar findings:

• Hardship and vulnerability cues are missed
  Customers rarely use explicit regulatory language, yet indicators of distress are present in everyday conversations.
• Referral processes lack consistency
  Frontline and collections teams do not always escalate hardship cases in a timely or reliable way.
• Standardised responses fail complex customers
  One-size-fits-all solutions often lead to repeat contact, complaints, and poor outcomes.
• Limited monitoring and evidencing
  Many organisations cannot clearly demonstrate how hardship interactions are identified, handled, and resolved across their entire contact centre.
• Heavy reliance on manual QA and self-reporting
  Sampling and checklists are no longer sufficient to satisfy outcomes-based supervision.

Whether framed through ASIC guidance, UK FCA Consumer Duty, US CFPB expectations, or New Zealand’s CCCFA obligations, the regulatory direction is clear:

Lenders must be able to show what actually happened — not what should have happened.

How AutoInsights Supports Global Hardship Compliance

AutoInsights is a post-call AI analytics platform that analyses 100% of customer interactions, transforming unstructured conversations into structured, regulator-ready data — regardless of geography or regulatory regime.

1. Automated Hardship Identification Across Jurisdictions

AutoInsights detects hardship indicators even when customers never explicitly request “hardship”.

• CXEX Hardship Listener
  Identifies language patterns linked to:
  • Reduced or unstable income
  • Medical or caring responsibilities
  • Over-commitment and affordability stress
  • Relationship breakdowns and life events
• Affordability & Payment Pressure Analysis
  Surfaces interactions where payment pressure may be misaligned with customer capacity — a concern shared by regulators globally.

This ensures hardship signals are identified consistently and objectively, independent of local terminology.

2. Evidence-Based Referral & Escalation Oversight

Rather than relying on agent declarations or downstream case notes, AutoInsights measures real behaviour.

• Hardship Referral Effectiveness Analysis
  Confirms whether:
  • Hardship indicators were present
  • Referrals occurred
  • Appropriate pathways were followed
• Risk Prioritisation
  Interactions are risk-scored (High / Medium / Low) to support triage and early intervention.

This provides defensible evidence that hardship cases are not only identified, but acted upon.

3. Vulnerability Detection Beyond Financial Stress

Modern regulation increasingly recognises vulnerability as broader than affordability alone.

• CXEX Vulnerability Listener
  Detects indicators associated with:
  • Mental health distress
  • Family or domestic violence cues
  • Emotional or cognitive vulnerability

This enables lenders to monitor whether vulnerable customers receive appropriate treatment, escalation, and support — a common regulatory expectation across all major markets.

4. Automated Reporting & Regulator-Ready Evidence

AutoInsights has evolved beyond analytics into automated regulatory reporting.

• Monthly Hardship & Vulnerability Reports
  Produced automatically, including:
  • Volumes and trends
  • Referral effectiveness
  • Repeat hardship indicators
  • Outcome patterns by team, channel, or geography
• Structured, Auditable Datasets
  Every insight is traceable to the underlying interaction, supporting:
  • Regulatory reviews
  • Internal audit and risk committees
  • Board-level oversight

This allows organisations operating across multiple regions to apply a consistent governance model, while mapping outputs to local regulatory requirements.

5. Continuous Improvement & Early Intervention

AutoInsights also supports preventative outcomes.

• Repeat Call and Unresolved Issue Analysis
  Identifies customers at risk of cycling through hardship.
• Digitalisation & Deflection Discovery
  Highlights high-volume, low-complexity call drivers that could be automated before hardship escalates.

This aligns with global regulatory expectations around root-cause remediation and sustainable customer outcomes.

A Globally Consistent, Regulator-Ready Framework

Across Australia, the UK, the US, and New Zealand, the regulatory message is consistent:

Hardship management must be proactive, measurable, and evidenced.

AutoInsights enables lenders to:

• Identify hardship and vulnerability early
• Evidence compliant referral and handling
• Automate hardship reporting and oversight
• Reduce regulatory risk across jurisdictions
• Improve outcomes for customers in genuine financial distress

By embedding AutoInsights into collections and service environments, lenders can meet local regulatory expectations while maintaining a consistent, global standard of care.