Insurance

Automate KYC and KYB for high-volume insurance portfolios

Clear low-risk customers automatically, reduce false positives, and keep risk current across products and jurisdictions.

Fragmented data

One customer record. Real risk, not noise

Insurance AML data is spread across CRMs, intermediaries, registries, and screening tools. Strise unifies it into one customer record and automatically clears low-risk hits, so analysts focus on real risk.

Onboarding

Automate up to 90% of low-risk cases

Most insurance AML work is low risk but still reviewed by hand. Strise applies configurable risk policies and AI-assisted scoring to auto-clear low-risk customers without human review. Only true exceptions reach analysts, reducing false positives and freeing teams to focus on real risk.

Monitoring

Move from point-in-time checks

Insurance risk does not stop after onboarding. Ownership, sanctions status, and customer risk change over time. Strise replaces periodic reviews with event-driven monitoring. Material changes trigger alerts and re-scoring automatically, without reopening files or restarting due diligence.

Why Strise?

Cut manualscreening noise

Risk scoring and contextual data reduce false positives

Simplifycustomer outreach

Client-facing portals pre-fill forms and capture only missing information

Audit-readyby design

Every data point, change, and decision is traceable to source

#1 choice for leading regulated businesses

Success stories
How fintech giant Vipps MobilePay made AML Automation a winning strategy
How Sparebanken Vest cuts manual AML data sourcing and speeds up case handling
How BN Bank reduces false positives by 30% and speeds up onboarding by 70%
How SpareBank 1 gets full client insight: pre-linked, analyst-ready data

Goodbye screening noise. Hello, controlled AML

Insurance AML teams face growing portfolios, high false positives, and evolving regulatory requirements across products and jurisdictions. Strise automates low-risk work, keeps risk current through continuous monitoring, and gives teams full audit traceability. AML becomes a scalable, controlled process instead of a recurring operational drain.

Man with light brown hair wearing a white dress shirt and cream blazer with a patterned pocket square, looking to the right.
Fredrik Riiser