Product Updates March 2026

Explainability That Reads Like a Narrative – Not a Rules Dump

When investigators review a customer risk score, the real work begins after the number:

  1. What drove the score?
  2. What theme does the risk fall into?
  3. How do I explain it consistently – across teams, segments, and audits?

This month, CRS explainability becomes significantly more intuitive with three upgrades that help teams move from “lists of indicators” to a clear, defensible story.

Group Risk Indicators into Meaningful Categories

Risk indicators can now be grouped into business-friendly categories (administrator-configurable) so investigators can understand risk drivers as themes (e.g., onboarding risk, behavioral risk, adverse media risk) rather than scanning long lists. This includes a simple mapping workflow to assign indicators to categories - and unassigned indicators still remain visible.

  • Risk drivers are now shown as meaningful themes (categories) instead of a flat, long list.
  • Administrators can map risk indicators to categories easily, so grouping reflects how the bank thinks about risk.
  • “Unassigned” indicators remain visible, so nothing gets hidden even if mapping is incomplete.
  • Historical context remains reliable - category structure is preserved for alerts at the time they were generated.

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Risk Indicator Labels – Primary / Secondary / Tertiary (with configurable thresholds)

Risk indicators can now be labeled into Primary / Secondary / Tertiary tiers, so investigators immediately know what matters most. These label thresholds can be configured (percentile / threshold logic) and applied separately for each explainability tab (e.g., Static vs Regulatory vs other views).

  • Risk indicators now carry priority-style labels (Primary / Secondary / Tertiary) so the “most important drivers” stand out.
  • Label thresholds can be configured so each bank can align tiering to their operating model.
  • Thresholds can be set separately for each explainability tab, so what counts as “Primary” in one context doesn’t have to be the same in another.

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Configurable Categorisation Based on Client Needs with Per-Tab Control

Clients can choose how explainability is organised - by Category view (administrator-defined) or by Label view (Primary/Secondary/Tertiary tiers), and control this independently for each tab.

  • Clients can control how explainability is organised based on what works best for different teams:
    • View by Category (risk themes), or
    • View by Label (Primary/Secondary/Tertiary tiers)
  • This can be configured tab-by-tab, allowing different explainability views to serve different workflows (operations vs QA vs governance).
  • The structure is designed to scale as clients add new rules or typologies - without reworking investigator workflows.

Once configured, the Score Explainability section of CRS alerts can be sorted, filtered and viewed based on user-defined categories and labels:

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Impact to Our Clients

  • Faster investigations: analysts quickly see the top risk themes, not just dozens of individual rules.
  • Cleaner narratives for alert reviews: “why high risk” becomes explainable in business language.
  • Safer administration: deleting a category doesn’t delete rules - rules simply move to “Unassigned.”

Impact to Our Clients

  • Instant prioritisation: teams focus on what truly drives risk instead of treating every signal equally.
  • Consistency across investigators: two analysts reviewing the same customer will rank drivers similarly.
  • Audit defensibility: tiering offers a repeatable structure for explaining decisions.

Impact to Our Clients

  • Different teams need different narratives:
    • Operations teams may prefer categories (“risk themes”) for quick reviews.
    • Governance or Quality Assurance may prefer labels (“priority tiers”) for consistency and reporting.
  • Clients can now align explainability to their operating model - without changing their scoring logic.