Beneficiary · The beneficiary, not the buyer

Sharper screening from the same structured data.

Financial crime teams don’t buy a placement or operation — they inherit the output of them. Sanctions, AML, KYC and Travel-Rule screening all run sharper on structured, field-tagged addresses than on free text, so ioNova ARS acts as the upstream overlay: whatever it classifies or corrects, your screening reads more precisely, cutting sanctions false positives by 40–60%.

40–60%
fewer false positives
$5–10
per alert (from $50–80)
0
screening-engine changes
rule_source
evidence per finding
‘Cuba’ in a street field is not Cuba in a country field — but our screening can’t tell, so we drown in false positives. We don’t want to replace the screening engine; we want the data going into it to be structured and field-tagged, with evidence a regulator can examine.
The problem, in their words
Head of Financial Crime / Sanctions

What You Can Do

Field-level sanctions screening
Field-appropriate rules cut false positives 40–60%.
Validate · either placement
Shell-company detection
Many entities collapsing to one normalised address become visible once spellings are reconciled.
Classify
KYC at point of capture
Address validated against postal data proactively, not after a rejected payment returns.
Validate · At-Source
Travel-Rule chain integrity
Tagged fields survive every hop; every screening decision is field-cited and auditable.
Validate · In-Flight

From Sandbox to Live

Span
No separate deploy — value accrues as the upstream edition goes live
Shape
Overlay / config — point screening & KYC at ARS’s structured fields
Tier entry
Rides on Treasury / Banking / Transact
1
Get started
Sandbox live, first resolved address in ~2 days
2
Build
Register channels, test; ioNova tunes ~10,000 representative addresses in parallel
3
Validate
Production validation — channels + integrations exercised together
4
Go live
Swap test keys for live keys — no code change

Compliance is an overlay, not a control point, so there is no standalone integration to run. You point your existing screening, monitoring and KYC stack at the structured, field-tagged output ioNova ARS already produces. As soon as the upstream edition’s plan completes in 2–4 weeks, screening can read the structured fields and the false-positive reduction and audit benefits accrue immediately — no change to the engine, monitor or KYC platform, only to the quality of their input.

Why It Pays Off

investigation cost $50–80 → ~$5–10 per alert 40–60% fewer sanctions false positives engine, monitor & KYC platform don’t change evidence a regulator can examine (rule_source per finding)
Where you start
Rides on the edition the institution already runs — engage your treasury, bank or hub stakeholder and turn on field-level screening.

Frequently asked questions

Do structured addresses reduce sanctions false positives?

Yes — screening field-tagged addresses instead of free text lets field-appropriate rules cut false positives by 40–60%.

Do I have to replace my screening engine?

No — ioNova ARS is an upstream overlay; the screening engine, transaction monitor and KYC platform stay the same, only the input data improves.

How does it help shell-company detection?

Reconciling address spellings collapses many entity representations to one normalised address, making hidden links visible.

Is each screening decision auditable?

Yes — every finding carries a rule_source citation a regulator can examine.

Does it run at KYC onboarding?

Yes — addresses are validated against postal data at the point of capture, proactively.

What does it cost per alert?

Investigation cost typically falls from $50–80 to roughly $5–10 per alert.

Live in weeks — before 14 November 2026.

First sandbox call in minutes, first channel live in days. Early Adopter terms end 31 July 2026.