Your policy. Applied automatically.
Every entity scored against the same rules, and recalculated the moment data says it should be.
Sound familiar?
01The risk model lives in a spreadsheet
Policy changes, new jurisdictions, updated thresholds, all requiring manual edits to a shared file that may or may not reflect what your analysts are actually applying.
02A director changed last month. The risk score did not
Risk scores calculated at onboarding and never updated. Material events, director changes, ownership shifts, sanctions hits, sit undetected until the next scheduled review.
03High, medium, low, defined differently by each analyst on your team
Without a configured policy applied consistently, risk classification reflects who reviewed the case as much as what the case actually contains. That’s an audit problem.
04Thousands of clients reviewed last quarter. Risk scores calculated by hand
Manual risk scoring does not scale. As the portfolio grows, so does the review backlog, and the margin for inconsistency grows with it.
05Something material changed three weeks ago. The risk score didn’t
Your risk policy lists the events that should trigger recalculation. Your system can’t read the policy, so recalculation happens when someone remembers to run it, not when the data says it should.
06You can explain the decision. Documenting it is a different problem
Risk scores without factor breakdowns, source citations, or change history are not defensible. The judgment was sound. Proving it after the fact is where things fall apart.
The difference Strise makes.
Instantrisk recalculation when data changes.
80%of cases auto-approved. No analyst required.
100%of risk decisions documented with rationale.
What customers say.
“With Strise, AI can take on much of the time-consuming routine work.”
Anne Reisch BrusetHead of KYC at BDO 
Gavin BerginDirector of Governance at British Land 
Silke OeverbyChief Risk & Compliance Officer at Vipps MobilePay 
Endre Jo ReiteDirector of personal markets 
Rebecca RobinsonChief Risk and Compliance Officer at Tenora 
Niri Kvammen ForbergAML Specialist at SpareBank 1 SMN 
Ragnhild GeorgsenHead of AML & Sanctions at Sparebanken Norge 
Alan PatersonFounder and Chief Innovation Officer at Plenitude 
Policy applied automatically.
Policy set. Engine ready
Set risk weights for every factor in plain language. No developers needed.
Entity assessed. Scored
Risk calculated at onboarding, then recalculated automatically as new data arrives.
Data changes. Score updates
A director change, sanctions hit, or jurisdiction shift triggers automatic recalculation.
Decision made. All recorded
Full score timeline per entity, what changed, when, and why. Every factor cited.
Automate risk scoring.
Your risk policy. Your team. No IT department.
Assign risk weight to any factor, jurisdiction, industry code, PEP status, ownership structure, in plain language, without writing a line of code. Your compliance team owns the configuration. Your IT team isn’t involved.
Event-driven reviews, not calendar ones.
Reviews triggered by actual risk changes, not by the date. A PEP designation, a sanctions update, a director change, each triggers an immediate review with everything your analyst needs already attached. High-risk entities are reviewed when it matters, not just when the annual cycle says so.
Your entire portfolio. Risk-ranked. No reports to build.
Segment your portfolio by risk tier, industry, jurisdiction, or any custom attribute. See exactly where your exposure sits, what’s changed, what’s overdue, what needs attention, without building a report or running a query.
Risk changes. Strise acts instantly.
When new information comes in, Strise automatically updates the risk assessment and routes material changes directly to the right person for review. No material change in risk goes unaddressed.
Every score explained and documented.
Every risk score broken down by factor, every factor cited to its source. Your analysts can explain and justify any decision, in any context, to any regulator. Not because they remember the case, but because the system recorded it.
Your internal signals. Inside the engine. One score.
Connect signals from your existing systems via API. Internal risk data sits alongside Strise data in the engine, so scores reflect everything your operation knows, not just what external registries say. The score isn’t incomplete. It’s the full picture.
Risk scores you can explain. And prove.
See how Strise scores and documents risk, and what your team’s workload looks like when every decision is backed by evidence, not memory.
Things we get asked. Answered.
How are risk scores actually calculated?
Each entity is scored across multiple risk categories, jurisdiction, PEP status, adverse media, sanctions exposure, ownership structure, industry, each weighted according to your policy. The score is the sum of those weighted factors, not a black box. Every point comes from somewhere your team can see and explain.
Can we configure the risk policy ourselves, without developers?
Yes. You set the weight for each risk factor, how many points a PEP hit adds, how much a high-risk jurisdiction contributes, which adverse media categories matter. Configuration is done in plain language, no code required. Your policy, not a generic one applied to everyone.
How many risk tiers can we have, and can we name them ourselves?
Up to seven risk levels, though most customers use three or four. Tier names and thresholds are yours to define. The system shows both the calculated score and any user-assessed override side by side, so there is always a clear record of what the engine produced and what your team decided.
What triggers a risk recalculation?
Any material data change: a director added, a sanctions list updated, a PEP designation made, adverse media flagged, an ownership structure changed, or a jurisdiction reclassified. The score updates automatically when the data changes, not when the next review cycle comes around.
Can analysts override a calculated risk score?
Yes. An analyst can move a score up or down, with a rationale attached. The calculated score is preserved in the audit trail alongside the override, so there is always a record of what the system produced and what your team decided, and why. Both are visible, neither is lost.
What does the audit trail look like for risk decisions?
Every score change is logged automatically, what changed, when, who made the decision, and why. If a risk rating was overridden, the original calculated score sits in the record alongside it. When your regulator asks how a risk decision was reached, you show them the complete trail. Nothing to reconstruct.
Running a formal evaluation?
Send us your RFP. We’ll come back with real numbers for your setup.