With SIPOC to Agentic AI

This AllinOne stakeholder oriented SIPOC process & data model for an AI agent process demonstrates how AI functions from receiving data and inputs to generating outputs and serving customers. It helps to understand how AI integrates into broader systems and contributes to achieving desired outcomes.

The core functionality or workflow carried out by the AI agent:

1. Data Collection: The AI agent gathers data from various sources such as sensors, databases or external APIs.
2. Preprocessing: The data is cleaned, filtered and prepared for analysis, removing noise, handling missing values or converting data into the right format.
3. Data Analysis/Pattern Recognition: The AI processes the data using algorithms to identify patterns, make predictions or classify information.
4. Learning/Training: If necessary, the AI learns from the provided data (supervised or unsupervised learning) and improves its model over time.
5. Decision Making: Based on the analysis and learning, the AI agent makes decisions, recommendations or predictions.
6. Action Execution: The AI may perform actions based on its decisions (e.g. sending alerts, controlling devices, providing recommendations).
7. Feedback Loop: The AI receives feedback from users or external systems to adjust and improve its performance continuously.

In the SIPOC model, the stakeholder sphere encompasses your suppliers, customers and other stakeholders. It focuses on how you interact with your key partners e.g. in the supply chain (SCM) and in customer relationships (CRM) and the influence you have on each.

The data sphere defines the sources of raw data and the recipients of processed or transformed data, ensuring information flows efficiently through the system.

The value of your data comes from its context within processes and most importantly its relevance to human decision-making and action.

The process sphere is the backbone of your value chain, supporting both your business model and strategy. It also ensures transparency in your activities, providing visibility to all stakeholders.

A SIPOC model & process map form the foundation for a transparent and observable operating model, showing both the current and future states to all stakeholders.

Events in an Event-driven Process Chain (EPC) are used to model business processes, particularly in the context of workflow management.

EPCs can serve as a framework to design, visualize and manage the behavior of agentic AI systems, helping to define their responses to events, the logic behind their decision-making and how they can autonomously adapt to changing conditions.

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/HLsHLaewQQwxniNjUJmiXEC1/frontend