The global intelligence layer for financial difficulty, hardship and vulnerability
Improving financial difficulty outcomes at scale requires context, consistency, and a system-wide perspective.
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The Financial Assistance Intelligence Engine (FAIE) is a global, membership- based data intelligence service built for regulated financial institutions.
Insights and Intelligence
A New Standard in Financial Difficulty Intelligence
FAIE establishes the first multi-jurisdictional intelligence layer dedicated to financial difficulty, hardship and vulnerability, transforming fragmented institutional data into comparable, decision-grade insight.
Through internal trend analysis, peer benchmarking, and macroeconomic correlation, FAIE enables institutions to understand what is happening, how performance compares, and what is driving it.
FAIE is designed to integrate with existing institutional data environments and deliver value from initial participation.
Data Contribution
Institutions submit a defined dataset aligned to their current reporting capability. Participation does not require complete data maturity at the outset.
Metric Standardisation
Data is structured against FAIE’s metric framework, ensuring consistency and comparability across institutions.
Intelligence Generation
Outputs are delivered across three intelligence layers:
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Absolute performance, how the institution is performing over time
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Relative performance, how performance compares to an anonymised peer cohort
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Contextual intelligence, how metric movements relate to macroeconomic and cost-of-living drivers
Insights and Intelligence
FAIE’s Intelligence Framework
FAIE structures financial difficulty intelligence across five core domains, providing a comprehensive view of performance.
Together, these domains define the full spectrum of financial difficulty oversight, from demand and response through to outcomes, experience, fairness, and operational sustainability. The dataset enables organisations to address the questions that matter most to them.
Domain
Explanation
Demand and Timeliness
How many customers request support, and how quickly institutions respond.
Customer Outcomes
Whether customers are genuinely better off following assistance.
Customer Experience
How customers experience the hardship journey.
Vulnerability and Fairness
How effectively vulnerable customers are identified and supported.
Operational Efficiency
How sustainably the hardship function is delivered.
Insights and Intelligence
What this enables
FAIE translates data into decision-grade intelligence across all levels of the organisation.
For Operational Leaders
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Identify emerging pressure points earlier
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Monitor intervention effectiveness over time
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Allocate resources based on evidence
For Executive Leaders
Establish a clear view of performance and trajectory
Understand drivers of change across customer and operational metrics
Prioritise investment and strategic focus areas with confidence
For Boards
Access defensible evidence of effectiveness and sustainability
Understand comparative performance across the market
Gain visibility of emerging risks and systemic trends
Insights and Intelligence