Map the supply chain IT portfolio before adding another AI application

Source attribution: Supply Chain Movement, “Company IT Portfolio for end-to-end supply chain management.” This Radar tutorial curates and interprets the original work; it does not imply any partnership, sponsorship or endorsement.

1. Inventory systems by role

Map the applications already used from supplier to customer. Distinguish transaction systems such as ERP and order-management platforms from planning systems, execution tools, analytics platforms and data infrastructure. Record not only the application name, but also the process and decisions it actually supports.

2. Identify overlaps and shadow decision flows

Multiple systems may calculate forecasts, maintain inventory parameters or expose similar dashboards while the final decision still takes place in Excel, email or a manual meeting. These overlaps matter because adding AI on top of an ambiguous process can increase complexity instead of reducing it.

3. Classify gaps correctly

A missing capability may require a new application, but it may also require an integration, a workflow change or better use of functionality already licensed. Distinguishing those cases prevents architecture from becoming a catalogue of products rather than a model of how the business actually decides.

4. Place AI in the right system layer

Only after the current portfolio is understood should AI applications or agents be positioned. Decide whether the capability belongs inside APS, ERP, execution software, the data layer or a cross-system workflow. Give each capability a system of record, an accountable owner and a clear boundary for what it may recommend or execute.

5. Tie the map to accountability

For every important decision, document the authoritative data source, the decision owner, the system that generates or records the recommendation and the system that executes it. This is what turns an application map into decision architecture.

Dataleo interpretation: the first AI architecture question is not “Which model or agent?” but “Which system should own this decision?” Portfolio mapping creates value when it exposes duplicated decision logic and unclear ownership. Its limitation is that a static application diagram can become another inventory exercise unless every box is tied to real decisions, data flows and accountabilities.