OneAI
For aggregators

The aggregator model — first-class.

Most compliance tools were built for banks. OneAI was built for the aggregator model, where sub-merchants matter as much as the parent.

What aggregators deal with today
Sub-merchant sprawl with inconsistent policy.
Fraud tools that don't understand the hierarchy.
AML tools that only see the top-of-tree merchant.
Chargebacks rolled up but never drilled down.
Regulator asks for lineage; the team assembles it manually.
New sub-merchant categories launched without governance sign-off.
What you gain

What OneAI ships to your aggregator business

Hierarchy-native data model

Aggregator → sub-merchant is first-class, not a hack.

Per-sub-merchant monitoring

Rules apply at any level, not just the parent.

Policy inheritance

Set at the parent; overridden per child; audited.

MID Governor

Autonomous MID-level policy with maker-checker across the tree.

Portfolio + drill-down

One dashboard, portfolio to sub-merchant.

Regulator export

Lineage evidence pack, one click.

A day in the loop

From aggregator activity to regulator evidence

  1. 01
    Aggregator ingested
    Full hierarchy replicated in real time.
  2. 02
    Rules apply per level
    Portfolio, aggregator, and sub-merchant thresholds.
  3. 03
    Deviation isolated
    Sub-merchant flagged without punishing the parent.
  4. 04
    RFI or policy change
    Auto-drafted RFI, or MID Governor policy update.
  5. 05
    Evidence exported
    One click, lineage-preserving pack for the regulator.
Ready to see it?

30-minute walkthrough on your merchant data.