Regtech and compliance automation: what financial teams should change

TL;DR: Regtech in financial services is moving from workflow support to operational necessity as teams face faster rule changes, manual review bottlenecks, and higher expectations for auditability, explainability, and real-time fraud and AML decisioning, according to Unit21. The governance test is no longer whether software helps, but whether it preserves control, evidence, and accountability.

Editorial analysis by NHI Mgmt Group, based on content published by Unit21: “Regtech use cases: 7 applications in the financial sector”.

Key questions

Q: What should financial institutions do first when regtech is only partially implemented?

A: Start with the control that creates the largest governance gap, usually identity verification, transaction monitoring, or case management.

Q: Why does weak compliance automation create regulatory risk even when teams have tools in place?

A: Because having software is not the same as having coverage.

Q: How should compliance teams measure whether RegTech is actually reducing operational burden?

A: Compliance teams should measure RegTech against cycle time, staffing effort, control coverage, and decision quality, not software adoption alone.

Practitioner guidance

• Define verification as a control objective Tie onboarding checks, KYC, KYB, and entity resolution to explicit risk outcomes so teams know what evidence is required before access is granted.
• Separate monitoring from screening logic Maintain distinct rule sets for transaction screening and behavioural monitoring so teams can tune permissibility and anomaly detection independently.
• Test rule changes against historical cases Validate new scenarios, thresholds, and watchlist logic on past activity before release so analysts can see the operational impact before live deployment.

Bottom line: Regtech in financial services is best understood as a control layer that links identity, monitoring, reporting, and fraud response to changing obligations.

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