Practical AI notes for operating teams.
More articles on control layers, ERP boundaries, approval checkpoints, and measuring AI ROI in procurement and finance.
Latest articles
How to Stop Employees From Misusing Internal AI Agents
Employee misuse of internal AI agents is rarely malicious — it is unclear policy and missing guardrails. Here is how to define limits people can actually follow.
Read articleMCP for Enterprise AI: The Control Layer Between Agents and Business Systems
MCP is the control layer connecting agents to SAP and Ariba: it defines which tools an agent can call, under what permissions, and with what audit trail.
Read articleWhy One ERP to Rule Them All Does Not Work
SAP, Salesforce, and Ariba do not need replacing for AI to help — they need a controlled layer around them, not one system forced to do everything.
Read articleThe Case for Human Checkpoints in AI Procurement Systems
Procurement AI should speed up prep work, not replace judgment — this piece maps the checkpoints that keep approvals, spend, and disputes in human hands.
Read articleVendor Onboarding Is a Perfect Enterprise AI Pilot
Vendor onboarding is repetitive and bounded, with clear pass/fail checks — which is exactly why it makes a safer first enterprise AI pilot than most teams expect.
Read articleWhat Is Hurdle Rate and Why Enterprise AI Teams Should Care
Not every workflow deserves equal budget. Hurdle rate gives finance and AI teams a shared number for valuing cash timing before anyone builds anything.
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