Your policy. Applied automatically

Risk scored against your policy and updated as information changes.

Sound familiar?

01
The 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.

02
A 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.

03
High, 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.

04
Thousands 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.

05
Something 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.

06
You 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

Instant
risk recalculation when data changes.
80%
of cases auto-approved. No analyst required.
100%
of risk decisions documented with rationale.

What customers say

"Since adopting Strise, our processes have gotten so much quicker."
Gavin Bergin
Director of Governance at British Land
"With Strise we use manual labor where it's most worthwhile, and decrease costs."
Silke Oeverby
Chief Risk & Compliance Officer at Vipps MobilePay
"With Strise, we have reduced false positives by 30%."
Endre Jo Reite
Director of personal markets
"Strise has helped us move away from periodic review. That's fundamental."
Rebecca Robinson
Chief Risk and Compliance Officer at Tenora
"With Strise, we get better accuracy and quality in our customer risk assessments."
Niri Kvammen Forberg
AML Specialist at SpareBank 1 SMN
"Strise saves us a considerable amount of time per onboarding"
Ragnhild Georgsen
Head of AML & Sanctions at Sparebanken Norge
"Strise helps our clients realise the benefits of AI quickly."
Alan Paterson
Founder and Chief Innovation Officer at Plenitude

Policy applied automatically

1

Policy set. Engine ready

Set risk weights for every factor in plain language. No developers needed.

2

Entity assessed. Scored

Risk calculated at onboarding, then recalculated automatically as new data arrives.

3

Data changes. Score updates

A director change, sanctions hit, or jurisdiction shift triggers automatic recalculation.

4

Decision made. All recorded

Full score timeline per entity, what changed, when, and why. Every factor cited.

How risk scoring runs itself

Policy configuration, no developers

Assign risk weight to any factor, jurisdiction, industry code, PEP status, ownership structure, in plain language, without writing a line of code.

Event-driven reviews, not calendar ones

Reviews triggered by actual risk changes, not by the date. High-risk entities reviewed when it matters, not just when the annual cycle says so.

Portfolio risk visible at a glance

Segment your portfolio by risk tier, industry, jurisdiction, or any custom attribute, to see exactly where your exposure sits without building a report.

Scores recalculate when data changes

Risk scores updated automatically when new information arrives, director changes, ownership changes, adverse media, sanctions updates. No scheduled recalculation needed.

Every score explained and documented

Every risk score broken down by factor, every factor cited to source. Your analysts can explain and justify any decision with confidence, in any context.

Feed the risk engine from your stack

Connect signals from your existing systems via API. Internal risk signals sit alongside Strise data in the engine, so scores reflect everything your operation knows, not just external sources.

Risk scores you can explain. And prove
See how Strise scores and tracks risk, and what it looks like when every decision is backed by evidence your team can stand behind.
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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.
sales@strise.ai