OneAI
Use case · Merchant onboarding

A staged onboarding you can measure.

Move merchants through a documented pipeline — Application, Compliance Form, Docs Review, Approval, Live — with per-document status, activity logs, automated emails, and full analytics.

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Outcomes

What you get.

One shared queue

Every stakeholder — RM, compliance, ops — sees the same live queue.

Document status in view

Approved / Rejected / Missing per document, with the uploader and timestamps.

Emails on stage change

Automated notifications to the RM and merchant on every transition.

Pipeline analytics

Funnel, drop-off, time-in-stage, and RM productivity.

Workflow

Alert to close, on rails.

  1. 01
    Application received
    Merchant enters the pipeline with initial metadata.
  2. 02
    Compliance form
    Structured KYC and business information collected.
  3. 03
    Docs review
    Per-document status tracked; missing documents surfaced.
  4. 04
    Approval
    Decision recorded with reason; audit trail written.
  5. 05
    Live
    MID provisioned and inherited into monitoring; risk score computed.
Features involved

The platform surface behind this.

Merchant onboarding pipeline

Application → Live, with docs, emails, and analytics.

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Merchant risk & MID lifecycle

MID inherits monitoring from day one.

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Aggregator hierarchy

Sub-merchant onboarding under the parent aggregator.

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Ready to see it live?

30-minute walkthrough on your merchant data.

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