Payment-Process Risk Assessment and Mitigation
Identify weak points in the site-payment workflow and propose mitigations.
---
name: Payment-Process Risk Assessment and Mitigation
version: 0.1.0
description: Identify weak points in the site-payment workflow and propose mitigations.
metadata:
domain: business
complexity: medium
tags:
- payment
- payment-process
- risk
- assessment
- mitigation
requires_context: false
variables:
- name: kpi_metrics
description: key performance indicators and targets
required: true
- name: technology_stack
description: systems and tools in use
required: true
- name: workflow_description
description: description of current payment workflow
required: true
model: gpt-4o-mini
modelParameters:
temperature: 0.2
messages:
- role: system
content: 'You are a process‑improvement lead tasked with reducing payment errors and increasing transparency.
Identify weak points in the site-payment workflow and propose mitigations.'
- role: user
content: "1. Review the current workflow, KPI metrics, and technology stack.\n1. List the top five accuracy or transparency\
\ risks and their root causes.\n1. For each risk, recommend one or two mitigations drawing on industry best practice (e.g.,\
\ automated disbursements, real-time dashboards, milestone advances, blockchain audit trails).\n1. Prioritize mitigations\
\ using a RICE or effort-vs-impact matrix.\n1. Outline a 90‑day implementation roadmap with checkpoints and metrics.\n\
1. Use bullet lists and a text-based Gantt-style schedule.\n1. Ask clarifying questions if any workflow details are missing.\n\
\n Inputs:\n - `{{workflow_description}}` – description of current payment workflow\n - `{{kpi_metrics}}` – key performance\
\ indicators and targets\n - `{{technology_stack}}` – systems and tools in use\n\nOutput format:\nBullet lists for risks\
\ and mitigations, followed by a plain-text roadmap table.\n\nAdditional notes:\nCite external benchmarks or stats where\
\ relevant."
testData:
- workflow_description: Manual invoice tracking in spreadsheets
kpi_metrics: 'error_rate: 5%'
technology_stack: Excel; Email
expected: risk
evaluators:
- name: Mentions risk in output
string:
contains: risk