Ask a procurement or programme leader where supplier risk comes from and the list is familiar: a component announced end-of-life halfway through a long programme, a certificate or export-eligibility document that lapsed, a single-source supplier with slipping deliveries. Each is visible somewhere. The problem is that no one system holds the whole picture.
An intelligence feed, not a dashboard
In the decision platform we built for an electronics design-and-build manufacturer, the answer was not another dashboard. Fourteen standing agents scan the SAP, CRM, PLM and quality estate, reason about what they find, quantify the money at stake and route each alert to an owner, who can accept, assign, escalate or dismiss it against an SLA clock1.
How the standing agents work
From our manufacturing case study
| Step | What happens |
|---|---|
| Scan | Agents watch programmes, parts, certificates and capacity across systems |
| Reason | The model judges what a finding means; arithmetic stays in SQL |
| Quantify | Each alert carries a money impact |
| Route | An owner accepts, assigns, escalates or dismisses it against an SLA |
Note: Capabilities as built; demonstration data is modelled.
Source: DaasLabs, “Delivered for manufacturers and distributors: manufacturing case study” (2026)
The automotive version: PPAP and certificates
Automotive suppliers face the same pattern with production part approval and certification. An agent can track what each part and supplier still owes, chase it and assemble the pack. Approval stays with the supplier quality engineer.
Keep the arithmetic in SQL and let the model judge. That is what makes a money figure on an alert something finance will accept.
Where to start
Pick one risk class — end-of-life parts, missing certificates or single-source exposure — connect the systems where it lives, and give every alert an owner and a clock before adding the next class.