Agentic AI | Procurement Insights

Browsing All posts tagged under »Agentic AI«

I Am a Lousy Salesperson

February 28, 2026

Your success with ProcureTech, including AI, starts by asking questions nobody is asking.

From Kraljic to AWU: Why the Industry Keeps Building the Wrong Instrument for the Right Problem

February 28, 2026

Why is Salesforce recommending AI users eat Skittles for breakfast? Because Skittles are easy to count — and outcomes are not.

A CPO Asked Whether Zip’s New Enterprise Transformation Office Understands Phase 0 Readiness — We Put the Question to Six Independent AI Models

February 10, 2026

A CPO asked my view of ZIP's Enterprise Transformation Office. Here are the results of the RAM 2025 Multimodel assessment.

Agentic AI Didn’t Kill the Magic Quadrant — It Made It Optional

February 9, 2026

Why did Agentic AI demote Quadrants, Waves, and Maps?

Why Your AI Agents Need a Steering Wheel, Not Just an Engine

January 24, 2026

Frameworks CAN be used with governance — but they don't REQUIRE it. That's the gap.

For the First Time, the Practitioner Leads the Technology (Not the Other Way Around)

January 23, 2026

The new role of procurement professionals isn't approving transactions — it's governing the agent ecosystem.

Why You Should Avoid The Hackett Group’s January 28th Webinar

January 13, 2026

When it comes to AI success, you have to stop chasing the best-of-breed illusion and realize your own unique outcomes.

The Pattern of Equation-Based Thinking Is Repeating With CrewAI — And the Results Will Be the Same as Always

January 12, 2026

The agentic AI conversation is accelerating — and organizations are making the same mistake they made with ERP, e-procurement, and cloud. Here's why CrewAI is equation-based thinking in new clothing.

The Fractional CPO Paradox: When Seeing Clearly Isn’t Enough

January 7, 2026

Are company boardrooms ruining their procurement and supply chain capabilities from the inside out?

Microsoft Called It Copilot. It’s Autopilot for Tasks, Not Co-pilot for Outcomes.

January 5, 2026

Microsoft didn't lie with the name — they just set the wrong expectation. The gap between assist and partnership is where most AI strategy turns into implementation disappointment.