Full reasoning chain
Every conclusion carries its reasoning and a citation to the source document, with agent actions and human overrides recorded in sequence.
Solution · Name Screening & Sanctions
Turn name-screening into evidence-backed decisions
Screen customers and related parties across sanctions, PEP, watchlist, adverse-media and internal sources, investigate potential matches automatically, and give reviewers an evidence-backed disposition.
MatchIdentityDisposition
The work
What a screening decision actually takes.
A name match is only the starting point. RiskPulse screens the party, compares the matched records across available identity attributes, investigates relevant context, and produces an evidence-backed recommendation for human validation. The objective is to clear false positives quickly without weakening control over genuine sanctions, PEP, or watchlist risk.
01
Ingest & Normalize
Receive customer, UBO, director, nominee, counterparty or payment-party data through API, file or onboarding workflow.
02
Screen
Screen against the bank's configured sources and lists.
03
Match & Compare
RiskPulse agents investigate the potential match using screening data, internal customer information and approved external intelligence.
04
Human Validate
Reviewer examines the evidence, comments, adjudicates and validates the proposed disposition.
05
Disposition & Monitor
Return the validated outcome to KYC/payment/onboarding systems and re-screen parties on the required cadence or trigger.
Where the agents run
Plan. Examine. Report.
The same three agents screen, investigate, and prepare the disposition record within a single governed workflow. Rather than operating as just a matching engine or an AI case-management layer, RiskPulse combines both into an integrated model purpose-built for regulated screening.
A match score is only the starting point.
A match score tells you how closely two records resemble each other. It does not tell you whether they represent the same party. RiskPulse compares the screened party and matched record field by field, identifies the attributes that support or differentiate the match, records what could not be verified, and produces an evidence-backed determination for analyst review.
- Field-by-field comparison — given name, date of birth, nationality, residence, occupation, employer and known aliases, each with its source
- Unavailable fields recorded — what could not be compared is stated rather than left to imply agreement
- Relationship tested, not assumed — whether the party is the entry, a family member, a close associate, or unconnected
- Evidence-backed disposition — findings and rationale are structured into the bank’s disposition format for analyst validation.
RiskPulse · Disposition record
Policy for this case type
Configured,
not hardcoded.
Nothing on this page is fixed in the product. Every element below is a policy setting you define, which is why the same platform runs this work and every other case type.
- Domain
- Name screening and sanctions — with its own alert types, from a sanctions match to a PEP entry, an adverse media hit or an internal list.
- Risk dimensions
- Commonly sanctions, PEP, adverse media, alert and affiliate risk — but the dimensions themselves, their weights, the composite bands and the escalation thresholds are all yours.
- Plan template
- Alert type drives which identity fields must be compared and which sources are reached to establish them.
- Report template
- Your disposition format, including the fields an examiner expects to see and the record your audit file keeps.
Controls
Defensible
after the fact.
The same governance and quality controls apply to this case type as to every other — because an examiner does not lower the standard for the harder files.
Quality control
Sampling built in
A sampling methodology sits behind this case type, so your quality team can assess a representative sample rather than reviewing at random.
Quality assurance
Independent assessment
A separate set of agents assesses case quality end to end against your methodology — a second opinion on the work.
See it on your own file
Bring a real case.
We’ll show you the workflow.
Pick a real queue or a set of closed dispositions and see how RiskPulse compares them, evidences them, and writes them up under your policy.
Request Demo