Writing on the procurement operating model.
These articles examine why procurement execution does not scale, what separates agents from assistants, how to govern software that acts, and how to measure coordination cost credibly. They are grounded in the operating model rather than in vendor claims, and they avoid unsupported benchmark statistics.
All articles
Operating model
Why your ERP does not solve procurement execution
ERP systems record procurement transactions accurately. They do not perform the interpretation, routing, chasing and comparison that surrounds those transactions, which is where most procurement capacity is consumed.
AI in procurement
AI procurement agents versus copilots: the distinction that decides the business case
Copilots make each step faster for the person taking it. Agents remove steps from people entirely, within a permitted boundary. That difference determines whether procurement capacity is still bounded by headcount.
Governance
How to govern autonomous procurement: six controls to require before you authorise execution
Governing autonomous execution comes down to six controls: role-based access, agent permissioning, executable thresholds, non-bypassable checkpoints, explainability with override, and a complete audit trail.
Measurement
How to measure what manual procurement coordination actually costs you
Manual coordination rarely appears in procurement reporting because it is spread across every workflow. Four measures — manual touches, cycle time by stage, first-time-complete rate and exception rate — make it visible.
Evaluation
What to demand in a demonstration before buying an autonomous procurement platform
A demonstration that only shows work succeeding has not shown you the governance. Six specific requests — using one of your own workflows — reveal whether execution and control are real.
See the model applied to your own workflow.
Articles explain the operating change. A demonstration on one of your processes shows it.
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