# Post-Authorization
source: https://developer.mastercard.com/identity-insights-for-transactions/documentation/use-cases/use-cases-2/index.md

## Sequence Diagram {#sequence-diagram}

The following flow shows a high-level data flow between the customer and Mastercard for obtaining insights on a transaction.
This flow will work for all End-Customer or Partner Post-Authorization use cases.

Diagram mermaid3

### Following are the execution steps: {#following-are-the-execution-steps}

1. Consumer completes their transaction with the e-commerce merchant.
2. E-commerce merchants submits all available details of the transaction to their decisioning platform for review (Internal or a third party Fraud Services Provider).
3. The Decisioning Platform sends a request for transaction insights to IIT.
4. IIT enriches the data in the requests with insights from its Identity Network and utilizes this to generate risk scores for the identity.
5. IIT the scores and associated signals to the Decisioning Platform.
6. The Decisioning Platform analyses the IIT scores and signals alongside other insights it has available to it, to arrive at a decision.
7.   
   1. The Decisioning Platform instructs the Merchant to proceed to clearing and/or shipping without the need for any further review due to an extremely low risk of fraud.
   2. The Decisioning Platform instructs the Merchant that the transaction should be manually reviewed in advance of proceeding to clearing and/or shipping due to a potential risk of fraud.
   3. The Decisioning Platform instructs the Merchant to not proceed to Clearing or Shipping due to an extremely high risk of fraud.

Note: Refer to the [API Reference](https://developer.mastercard.com/identity-insights-for-transactions/documentation/api-reference/index.md) page for more details on each endpoint and related parameters. Refer to the [Codes and Formats](https://developer.mastercard.com/identity-insights-for-transactions/documentation/code-and-formats/index.md) page for more details on error codes.