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Eval directory

Evals for Strise

Eval coverage for Strise, mapped from its public product surface.

About Strise

Strise is an AML and financial-crime compliance platform that automates routine work across KYC/KYB onboarding, ongoing monitoring, ownership mapping, alert triage, and portfolio remediation. It cross-references registries, ownership data, and AI-analysed documents into a single continuously updated entity record traceable to source. Routine cases clear automatically with audit trails while analysts focus on complex cases needing judgement.

Industry

AML/KYC compliance automation platform

Website

strise.ai

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Coverage map

What would you measure for Strise?

6 scoring areas · 24 capabilities mapped · grounded in 8 cited pages

Every eval set is graded on

  • Adversarial robustness
  • Workflow quality
  • Safety gates
  • Operator quality

Pass/Fail + LLM judge 1–5 · critical severity flags · negative controls

01

KYB & KYC onboarding automation

Whether routine, low-risk onboarding cases clear without analyst review while complex cases arrive assembled and ready to decide, with the routing decision itself explainable.

80% of cases auto-approved. No analyst required. strise.ai

Mapped capabilities

4 capabilities

  • Auto-clear vs. escalate routing

    Correctly clears routine low-risk cases and escalates cases the policy marks as needing judgement, without silently auto-approving an escalation trigger.

  • Case file assembly for complex cases

    Screening results, ownership, documents, and risk view arrive pre-assembled in one record so the analyst reviews rather than builds the file.

  • Entity vs. individual onboarding paths

    Handles KYB business verification and KYC individual verification with the checks appropriate to each, including registry lookup for entities.

  • Case state and stall handling

    Tracks open cases through waiting-on-client states rather than leaving them idle in a queue with no owner or follow-up.

02

Document collection & ID verification

Whether requested documents are mapped upfront, validated at submission, chased automatically, and written into the compliance record without manual transcription.

90% of document requests completed without analyst follow-up. strise.ai

Mapped capabilities

4 capabilities

  • Upfront document requirement mapping

    Determines the full document set for a case in one request instead of discovering requirements serially across multiple client round-trips.

  • Submission-time validity checks

    Detects expired, wrong-page, or unreadable submissions at upload and asks for a correction rather than passing them to review.

  • Automated follow-up on non-response

    Tracks whether a request was opened and submitted, and triggers chase behaviour without an analyst noticing the stall.

  • Extraction into the entity record

    Verified document data lands in the structured record traceable to the source document, without a manual copy-paste step.

03

Ownership & UBO discovery

Whether beneficial ownership chains are traced to their end, including across jurisdictions and through opaque structures, and kept current after onboarding.

Mapped capabilities

4 capabilities

  • Cumulative and aggregate control logic

    Applies combined holdings against the UBO threshold rather than testing each shareholder individually in isolation.

  • Cross-border chain traversal

    Follows ownership through multiple registries and jurisdictions, and states where a chain is partial rather than presenting it as complete.

  • Registry gap handling

    Flags incomplete or missing registry data explicitly and routes to client outreach instead of inferring a structure from fragments.

  • Opaque structure termination

    Recognises trusts and foundations as chain endpoints requiring declared controllers and surfaces the unresolved gap for analyst action.

Illustrative example

Input
Map beneficial ownership for Nordvik Handel AS. Registry shows three shareholders: Ingrid Solheim 18%, Tomas Berg 18%, Lena Aas 18%. Remaining 46% held by a listed entity.
Expected behavior
Identifies that the three individuals jointly hold 54% and flags them as beneficial owners under cumulative control logic, rather than clearing the entity because no single holder reaches 25%. Names all three and states the combined percentage.

04

Risk scoring & policy application

Whether the configured risk policy is applied identically to every entity, recalculated when data changes, and documented with factors and sources.

Instant risk recalculation when data changes. strise.ai

Mapped capabilities

4 capabilities

  • Consistent policy application

    Two equivalent entities receive the same classification, so the score reflects the case rather than the reviewer.

  • Event-driven recalculation

    Recalculates on material change — director change, ownership shift, sanctions hit — rather than only at scheduled review.

  • Factor breakdown and source citation

    Exposes which factors drove the score and cites the underlying source for each, sufficient to defend the decision later.

  • Policy change propagation

    Updated thresholds or new jurisdictions take effect in scoring rather than diverging from what analysts actually apply.

Illustrative example

Input
Client onboarded eight months ago at low risk. A registry update yesterday shows a new director resident in a high-risk jurisdiction. Return the current risk assessment.
Expected behavior
Recalculates rather than returning the onboarding score, raises the classification on the jurisdiction factor, and reports the director change as the triggering event with the registry update as its cited source.

05

Ongoing monitoring & alert triage

Whether the continuously updated entity record suppresses stale noise while surfacing genuine risk, and whether potential hits are resolved with real identifying context.

80% of low-risk cases closed without analyst review. strise.ai

Mapped capabilities

4 capabilities

  • PEP and sanctions hit adjudication

    Cross-references date of birth, nationality, and jurisdiction rather than treating a name match as a conclusion.

  • False-positive suppression with memory

    A previously dismissed, unchanged hit does not consume the same review time again in the next cycle.

  • Material change detection between reviews

    Surfaces ownership, director, and screening changes as they occur instead of at the next scheduled review date.

  • Analyst decision feedback into the record

    Judgements made on a case persist into the entity record so the following review starts from that position.

06

Portfolio remediation & audit defensibility

Whether an entire portfolio can be gap-analysed, ranked, and re-KYC'd against a deadline, with a complete evidence trail a regulator can inspect.

Mapped capabilities

4 capabilities

  • Portfolio-wide gap analysis

    Identifies which files are stale or incomplete across the whole portfolio before any single case is opened.

  • Risk- and severity-based ranking

    Orders remediation by regulatory exposure and gap severity rather than by visibility or ease of completion.

  • Bulk outreach without relationship managers

    Triggers re-KYC requests at portfolio scale so senior staff are not absorbed into administrative follow-up.

  • Reconstructable audit trail

    Records what was checked, when, and by whom, so proving completion does not require rebuilding the project from emails.

Coverage is mapped from Strise's public pages (8 crawled). Examples are illustrative, not real test cases. The runnable eval library — graded inputs, expected behavior, and pass/fail checks — is built when you request it above.

Frequently asked questions

What do the Corsac evals for Strise test?+

The coverage map is generated from Strise's own public product surface (AML/KYC compliance automation platform): 6 scoring areas — KYB & KYC onboarding automation, Document collection & ID verification, and Ownership & UBO discovery, and more — spanning 24 mapped capabilities, each graded on adversarial robustness, workflow quality, safety gates, and operator quality once the library is built.

How are the Strise evals scored?+

Every case generated for Strise — across KYB & KYC onboarding automation and Document collection & ID verification and the other mapped areas — is graded with pass/fail checks plus an LLM judge scoring 1–5 against its expected behavior, with critical-severity flags and negative controls. Only judge-passed evals are published.

How many test cases does the Strise library include?+

The full Strise library is built on request. The coverage map spans 6 areas and 24 capabilities (for example, Auto-clear vs. escalate routing and Case file assembly for complex cases under KYB & KYC onboarding automation); each becomes graded test cases — inputs, expected behavior, pass/fail checks — in your Corsac workspace.

How do I run these evals against Strise or my own agent?+

Request the library with your work email above. We'll build out all 6 mapped Strise areas and set them up in a Corsac workspace, where you can run every test case against Strise or your own agent with your own data.