Risk scores you can explain, not just calculate
Steward generates risk scores using explainable AI, combining KYC data, screening results, customer behaviour, and historical decisions. Every score is transparent, evidence-backed, and defensible, supporting confident approvals, escalations, and audits.
Customised risk models for your team’s needs
Steward lets you design and fine-tune risk scoring models to match your compliance strategy. Configure risk factors such as jurisdiction, industry, entity age, ownership structure, and control thresholds, then weight and combine them into a transparent, explainable risk score that reflects how you assess risk.
Dynamic risk that evolves over the customer lifecycle
Risk scores automatically update as new information emerges, including screening hits, periodic reviews, trigger events, and behavioural changes. This ensures risk assessments stay current without manual recalculation.
Redefined AML risk scoring
Generate an overall AML risk score during onboarding using customer type, jurisdiction, products, delivery channels, and initial screening results.
Aggregate risk across entities, shareholders, directors, and UBOs into a single risk outcome, supporting KYB, complex structures, and multiple layers of ownership.
Automatically rescore customers based on lifecycle events, screening updates, ownership changes, or periodic reviews.
Maintain a complete, timestamped record of risk inputs, scoring logic, overrides, and reviewer rationale for audits, regulatory review, and FATF-aligned governance.
Risk scoring as part of a complete
AML framework
Steward’s risk scoring integrates seamlessly with AI KYC verification, AML screening, ongoing monitoring, and periodic reviews. Risk assessment is a continuous control, not a one-time checkbox activity.
Trusted for high-risk, high-complexity screening
Document-first onboarding that removes blockers, even for complex structures.
“Steward’s document-first onboarding quickly extracts required information, flagging gaps, and removing blockers, even for complex structures.”
Less review time, stronger audit defensibility, higher-value work.
“Steward cuts manual review time, improves decision consistency, and strengthens audit defensibility, freeing compliance teams to focus on higher-value work.”
One fund became our entire portfolio on Steward.
“What started with one fund led us to move our entire portfolio to Steward, delivering seamless, AI-powered onboarding with a highly responsive team.”
Document-first onboarding that removes blockers, even for complex structures.
“Steward’s document-first onboarding quickly extracts required information, flagging gaps, and removing blockers, even for complex structures.”
Less review time, stronger audit defensibility, higher-value work.
“Steward cuts manual review time, improves decision consistency, and strengthens audit defensibility, freeing compliance teams to focus on higher-value work.”
One fund became our entire portfolio on Steward.
“What started with one fund led us to move our entire portfolio to Steward, delivering seamless, AI-powered onboarding with a highly responsive team.”
Document-first onboarding that removes blockers, even for complex structures.
“Steward’s document-first onboarding quickly extracts required information, flagging gaps, and removing blockers, even for complex structures.”
Less review time, stronger audit defensibility, higher-value work.
“Steward cuts manual review time, improves decision consistency, and strengthens audit defensibility, freeing compliance teams to focus on higher-value work.”
One fund became our entire portfolio on Steward.
“What started with one fund led us to move our entire portfolio to Steward, delivering seamless, AI-powered onboarding with a highly responsive team.”
See Real-life Risk Scoring in practice
Walk through a real KYC workflow using your onboarding and monitoring scenarios
Frequently Asked Questions
Everything you need to know about AML risk scoring on Steward. Can’t find the answer you’re looking for? Please chat to our friendly team.
Steward combines customer data, entity and ownership structures, jurisdictional risk, screening outcomes, behavioural signals, and historical decisions into a single, explainable risk score powered by AI.