Use only what the decision requires.
Define approved inputs, access, retention and deletion before processing confidential spend, supplier, drawing or costing information.
Trust and controls
AI can accelerate procurement work. Accountability stays with people.
Every solution defines where data goes, what the model may do, what evidence it must show and who owns the decision.
Our design principles
Controls are built into the workflow.
Technology choices adapt to the client's environment. The principles remain consistent: use only the data required, preserve a source trail and keep accountable people in control of material decisions.
Show assumptions and sources.
Material recommendations should reveal the evidence, calculations, sensitivities and unresolved uncertainty behind them.
Keep accountable people in control.
Supplier strategy, price approval, risk acceptance and external transmission remain explicit human decisions.
Design around the client's constraints.
Hosting, model choice, system access and integration are selected with the client's security, legal and operating requirements.
Does client data train public AI models?
Our standard is that client data is not used to train public AI models. The selected providers, account terms, access controls, retention settings and approved data flows are documented for each solution.
Can an AI system send information to a supplier or buyer?
It may prepare and route a draft, but confidential or commercially binding information is sent only after the required NDA status, internal authority and human approval have been verified.