Procurement Insights

Are you teaching your AI agents to fail?

Start With Your Current Outcomes. Then Trace Back to the Decisions.

November 7, 2026

Event-driven planning is faster than the calendar, but it still waits for the event. Strand Commonality™ reads the conditions that produce it.

Tagged: AI Governance, Decision-led planning, Event-driven planning, Outcome-based transformation, strand commonality

Posted in: Commentary

The Riptide Effect: When a Crisis Measure Calms the Surface but Not the Current

November 6, 2026

Was the 1969 moon landing a success when the astronauts landed on the moon, or when the crew returned safely to Earth?

Tagged: Crisis response, Grey Swan, Riptide effect, strand commonality, Suppy chain risk

Posted in: Commentary

How the Hansen-McKinsey AI Operating Systems Address Choudary’s “Human-in-the-Loop Fallacy.”

November 4, 2026

A navy title card with a teal accent. In white: "How the Hansen – McKinsey AI Operating Systems Address"; in teal: "Choudary’s ‘Human-in-the-Loop Fallacy’." Below: "Human-as-checker is a diminishing role. Human-as-orchestrator is not." On the right, a coral box reading "Human as checker: approves a finished decision," an arrow, and a teal box reading "Human as orchestrator: frames the work before it starts."

Human-as-checker is a diminishing role. Human-as-orchestrator is not.

Tagged: AI operating system, human in the loop, Human Orchestrator, Phase 0, Shadow systems

Posted in: Commentary

In Food-Sector Cyberattacks, the Door Changes. The Clock and the Authority Do Not.

November 4, 2026

The attacker picks the door. Your operation’s strands decide the loss.

Tagged: AI operating system, Cold chain cybersecurity, Decision Authority, Food supply chain cyberattacks, strand commonality

Posted in: Commentary

We Already Had Ambient AI Agents in 1998. They Were Human.

November 3, 2026

A navy title card with a teal accent. In large white type: “We Already Had Ambient AI Agents in 1998,” followed in teal by “They Were Human.” Below, two boxes, “1998: human input agents, a person sees the weather and enters it” and “Today: ambient AI agents, a sensor detects it and enters it,” both connected by lines to a third box: “The same engagement methodology: connect the condition, fence the action, the human owns the outcome.”

There is no difference between Ambient AI Agents and Human Agents - the engagement methodology is the constant.

Tagged: AI Agents, Ambient AI, Firm Fence, human in the loop, RAM 1998

Posted in: Commentary

Build Versus Buy Is the Most Ridiculous Debate in the Industry Today. Here’s Why.

November 3, 2026

A navy title card with a teal accent. In large white type: "Build Versus Buy Is the Most Ridiculous Debate in the Industry Today," followed in teal by "Here's Why." Beneath it: "Practitioners must be builders before they become buyers." Below, two boxes joined by an arrow: "1 Build to understand," highlighted in teal, then "2 Then buy, partner or adopt to scale."

Why must practitioners become builders before buyers?

Tagged: build versus buy, enterprise AI strategy, Industry-specific applications, Phase 0, procurement technology

Posted in: Commentary

The New Risk Management Mindset: Stop Focusing on Disruptions and Start Following Their Strands

November 2, 2026

The storm ended. The strands it crossed did not. Why the new risk management mindset follows the strands, not the disruption.

Tagged: Continuous Tracking, risk management, Strait of Hormuz, strand commonality, supply chain disruption

Posted in: Commentary

The Greatest Threat to Your AI Success Is the Following Statement: Data Governance Evolves Into AI Governance

November 2, 2026

Data governance governs the information. AI governance governs the agent. Neither tells you whether either reflects how your operation actually works.

Tagged: Action authorization, Agentic AI, AI Governance, data governance, Phase 0

Posted in: Commentary

Amazon Is No Longer One Supplier. It Is Several of Your Strands, And Why You Should Start Paying Attention.

November 1, 2026

Why is your Amazon exposure a grey swan?

Tagged: AI vendor financing, Amazon capital spending, Nortel 2001, strand commonality, Supplier concentration risk

Posted in: Commentary

Start With Your Current Outcomes. Then Trace Back to the Decisions.

The Riptide Effect: When a Crisis Measure Calms the Surface but Not the Current

How the Hansen-McKinsey AI Operating Systems Address Choudary’s “Human-in-the-Loop Fallacy.”

In Food-Sector Cyberattacks, the Door Changes. The Clock and the Authority Do Not.

We Already Had Ambient AI Agents in 1998. They Were Human.

Build Versus Buy Is the Most Ridiculous Debate in the Industry Today. Here’s Why.

The New Risk Management Mindset: Stop Focusing on Disruptions and Start Following Their Strands

The Greatest Threat to Your AI Success Is the Following Statement: Data Governance Evolves Into AI Governance

Amazon Is No Longer One Supplier. It Is Several of Your Strands, And Why You Should Start Paying Attention.

Follow Procurement Insights Blog

Top Posts & Pages

Top Clicks