Tutorials & How-to
Practical, field-tested guides for building governed AI decision systems.
How to validate an AI inventory use case before buying software
A decision-first protocol for turning broad AI interest into one measurable inventory workflow.
Build a governed autonomous replenishment agent for SAP S/4HANA with Claude and MCP
A production-oriented tutorial for designing, validating and controlling an agent that reads SAP planning data, calculates replenishment needs and creates purchase requisitions through narrowly scoped tools.
Test Whether a Supply Chain AI Agent Is Real or Agent-Washed
A practical evaluation framework for vendor claims, tool use and decision governance
Build a Governed S&OP Scenario Register Instead of Managing Scenarios in Email
Create a single controlled register for assumptions, decisions and approved plan versions
Run a One-Week Planning Master-Data Audit
Identify the parameters creating the greatest planning risk before a system or AI project
Create a Decision and Permission Matrix for Supply Chain Planning Agents
Define what planning agents may read, recommend, modify and execute
Build a Governed AI Forecast Review Workflow Before Connecting AI to Your Planning System
A controlled workflow for AI-assisted forecast adjustments with planner approval
Build a governed Claude Managed Agent for Supply Chain workflows

From Open-Source Multi-Agent Control Tower to Governed Supply Chain Decision App
Dataleo analysis of Vishal Vishwakarma’s supply chain root-cause architecture and the governance risks to address before production use

Build a Governed AI Control Tower for Logistics Questions
A practical prototype pattern for shipment visibility, text-to-SQL and human-in-the-loop logistics decisions
