TL;DR: A vendor guide on AML transaction monitoring RFPs lays out the evaluation areas compliance teams must press on, including detection accuracy, rule logic, machine learning, case handling, FIU reporting, regulatory alignment, data security, integrations, and commercial terms, according to SumSub. The procurement question is no longer feature depth alone, but whether the monitoring stack can be governed, explained, and audited end to end.
NHIMG editorial — based on content published by SumSub: a practical guide to selecting AML transaction monitoring vendors through the RFP process
Questions worth separating out
Q: How should teams evaluate AML transaction monitoring vendors in an RFP?
A: Focus on how the system detects, explains, and preserves evidence, not only on headline accuracy.
Q: What breaks when AML monitoring tools lack strong model governance?
A: Detection may still occur, but the organisation loses the ability to defend why an alert fired, why a threshold changed, or why a case was escalated.
Q: How do you know if transaction monitoring explainability is actually working?
A: Analysts should be able to trace an alert back to the rule, score, or behavioural signal that triggered it, and then document the same logic for audit or regulators.
Practitioner guidance
- Score vendors on governance depth, not feature breadth Ask for proof of rule versioning, approval workflows, change logs, and rollback procedures before comparing detection features.
- Test explainability against real investigation scenarios Use sample alerts and ask analysts to reconstruct the exact factors that caused them, then verify that the vendor can preserve a clear decision trail through case closure and reporting.
- Treat integrations as part of the control boundary Review how the platform ingests data from payments, customer systems, and case tools, then confirm that access, logging, and error handling are covered in the security design rather than assumed by the buyer.
What's in the full article
SumSub's full article covers the operational detail this post intentionally leaves for the source:
- A full RFP question set for transaction monitoring vendors, organised by evaluation domain.
- Specific coverage areas for rule logic, machine learning, case handling, and FIU reporting.
- A procurement blueprint for comparing regulatory alignment, integrations, and data security.
- Commercial and SLA prompts that help teams structure vendor responses consistently.
👉 Read SumSub's full AML transaction monitoring vendor RFP blueprint →
AML transaction monitoring vendor RFPs: what compliance teams should ask?
Explore further
Model governance is no longer an optional checkbox in AML transaction monitoring. Once a monitoring system uses rules, statistical scoring, or behavioral analytics, it becomes a governed decision system rather than a simple reporting tool. That means teams must treat tuning, change approval, and evidence retention as part of the control itself. Practitioner conclusion: procurement should test whether the vendor can support defensible governance, not just detection claims.
A few things that frame the scale:
- Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them, according to the Ultimate Guide to NHIs.
- Only 5.7% of organisations have full visibility into their service accounts, which shows how quickly control assumptions collapse when ownership and access drift.
A question worth separating out:
Q: Which procurement signals show an AML vendor is ready for regulated use?
A: Look for documented data security controls, clear case handling workflows, jurisdiction-specific reporting support, and evidence of change approval for rules or models. If the vendor cannot show these elements in practice, the product may be useful but not yet governance-ready.
👉 Read our full editorial: AML transaction monitoring RFPs need tighter model governance