A cured payment is not a cured financial vulnerability.

The blind spot: repeated delinquency and the illusion of cure

Picture a customer who alternates between paying and falling behind. In one reporting period the account is overdue; in the next, it is current again. A conventional arrears report captures every transition. Well-designed credit-risk models can also incorporate those transitions, payment histories and behavioural scores. What neither the payment status nor the history alone necessarily explains is why the pattern persists.

One borrower may be deliberately rotating limited cash between credit cards, rent, food and utilities. Another may have irregular earnings and misaligned debit-order dates. A third may have lost employment and begun using short-term borrowing to remain current. These borrowers can show similar payment patterns while following very different future risk trajectories.

The question is not simply whether the payment arrived. It is whether the customer's capacity to keep paying has changed.

Why this matters under IFRS 9 and Expected Credit Losses

The IFRS 9 expected credit loss (ECL) framework is explicitly forward-looking. It requires entities to assess whether credit risk has increased significantly since initial recognition (SICR) and to reflect reasonable and supportable information about past events, current conditions and forecasts of future economic conditions when measuring expected losses. Depending on the requirements applicable to the exposure, that affects whether 12-month or lifetime ECL is recognised.

IFRS 9's application guidance explains that changes in credit risk often arise before arrears appear, and that forward-looking information should not be disregarded in favour of past-due data when it is reasonably available without undue cost or effort. The Basel Committee similarly describes delinquency as a lagging indicator and calls for borrower-specific risk drivers, sound measurement processes and feedback from realised losses. See the IFRS Foundation and Basel Committee sources below.

That is the commercial relevance of timely, borrower-level intelligence: a lender can potentially distinguish a genuinely improving borrower from one whose intermittent cures mask persistent vulnerability. In a well-governed ECL process, those signals may be evaluated alongside existing delinquency histories, macroeconomic forecasts, behavioural models and risk controls.

Better information does not always mean a lower ECL estimate. It can support higher expected losses where deterioration has been missed, or lower expected losses where credible recovery has taken place. The aim is a more faithful view of risk and more timely action, not mechanically reducing provisions.

How FVRSI converts a conversation into decision-useful intelligence

SimONE's Financial Vulnerability Risk Scoring Index (FVRSI) is a proprietary ten-band framework. It seeks to establish the nature, severity and persistence of financial vulnerability using structured customer engagement and relevant context. A failed transaction, seasonal cash-flow mismatch, acute job loss, long-term unemployment and severe inability to pay require different responses.

The resulting FVRSI band guides an appropriate, institution-approved treatment strategy. The longitudinal view is what becomes particularly important for creditors: a band observed today can be reassessed as circumstances and behaviour evolve.

Longitudinal engagement: from a missed payment to a borrower trajectory

One conversation can explain a payment failure. Repeated, lawful engagement can help explain whether the cause remains unresolved. For example, a borrower may initially report retrenchment, later reveal continuing unemployment, then begin rotating obligations to protect essential spending. Alternatively, new income may restore affordability and make a sustainable payment arrangement possible.

Over time this can create a documented trajectory: not just whether arrears were cured, but whether affordability stabilised, vulnerability persisted, commitments held or risk signals deteriorated again. That is the difference between a payment event and a continuously informed view of the customer relationship.

This matters even when a customer never formally defaults. Repeated near-misses, payment rotation, short-lived cures and increasingly unrealistic commitments may indicate fragility that warrants review before a more serious credit event.

Two sources of value: more faithful ECL and fewer future losses

The first benefit concerns risk measurement; the second concerns risk mitigation. They are related, but distinct. SimONE aims to make both possible by connecting customer truth, structured actions and observed repayment outcomes.

The integration does not require the bank to replace its ECL model

SimONE sits alongside existing engagement and credit systems. Customer disclosures and subsequent behaviour can be captured through established rails, processed according to institutional policies and made available for controlled review. Credit-risk, finance and model-validation teams can decide which information is sufficiently reliable for a risk-management or impairment use case.

• Establish a baseline. Analyse repeat-delinquency behaviour and existing risk performance without SimONE-derived signals.
• Collect a longitudinal evidence series. Capture root cause, FVRSI band changes, realistic affordability, payment promises, retention outcomes and subsequent performance.
• Test incremental signal value. Compare risk predictions using existing data against models with appropriately transformed, validated engagement features. Control for selection bias, missing data and potential feedback effects from intervention.
• Assess treatment impact separately. Compare cure durability, repeat arrears, kept promises, complaints, retention and eventual cash shortfalls using an agreed evaluation design.
• Govern implementation. Apply the bank's SICR, PD, LGD, EAD, ECL, data-protection, model-risk and accounting policies before introducing signals into any formal impairment process.

What would make the commercial case compelling?

For lenders, a serious pilot should focus on a measurable question: does engagement-derived context explain or predict outcomes that a strong baseline model does not already capture, and can appropriate treatment improve those outcomes? That requires comparisons across time and across similarly situated borrowers, not just response or promise-to-pay rates.

Meaningful measures include time to first reliable diagnosis, kept-payment arrangements, cure durability, recurrence of arrears, customer retention, days spent delinquent, risk-model discrimination and calibration, and attributable changes in future cash shortfalls. IFRS 9 use would additionally require governance over information quality, representativeness, stage-transition criteria and accounting judgments.

Ubiquity has already demonstrated structured engagement performance in a regulated-lender champion–challenger pilot. Those results show that the model deserves further examination, while the longitudinal and IFRS 9 value case can be tested explicitly with a bank. The interactive brochure presents the pilot metrics and their context.

Questions credit-risk, finance and collections leaders ask

Standards and further reading

These sources establish the accounting and supervisory context. The application of SimONE described here is a product and risk-management proposition for validation with financial institutions.

• IFRS 9 Financial Instruments, particularly application guidance B5.5.2–B5.5.5: forward-looking information and past-due indicators
• IFRS Foundation: 2024 post-implementation review of IFRS 9 impairment requirements
• Basel Committee: expected credit losses guidance, including PAP20.62, PAP20.95 and PAP20.128