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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Integrated Quality Management within GRC: A Foundation for Responsible Agentic AI

Integrated Quality Management within GRC: A Foundation for Responsible Agentic AI

Governance defines what should be achieved. Risk Management determines what could go wrong. Compliance establishes what must be respected. Quality Management ensures that processes and their outcomes consistently fulfill requirements & intended objectives. Together, they establish an integrated management system for responsible human & AI-driven enterprise operations. Event-driven SIPOC model

By Peter Haenni