Credit scoring agent

Peter Haenni

Peter Haenni

— 1 min read
Credit scoring agent
SIPOC process map auto generated by the ProcessHorizon web app

Automatable Credit Scoring SIPOC process:

Data flow: Input(x) > Process algorithm(m+b) > Output(y)

1.      Establish supervised learning model

2.      Train model using historical data (x) to predict creditworthiness (y)

Basic equation: Credit Score (y) = m*(Financial History) + b for iterative optimization of the data fitting algorithm

Why is a stakeholder oriented SIPOC process map vital and a prerequisite to any responsible AI product & services development and sustainable deployment ?

What should be the Governance, Risk Management and Compliance (GRC) framework for an AI multi-stakeholder ecosystem ?

Using the following link you can access this sandbox SIPOC data & process model in the ProcessHorizon web app and adapt it to your needs (easy customizing) and export or print the automagically created visual AllinOne process map as a PDF document or share it with your peers: https://app.processhorizon.com/enterprises/XSiPYRnEufGFaWKVx9RQPiWv/frontend

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By Peter Haenni