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James L. Heskett

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supply chain decision making
February 16, 2026

2026 Is the Year of No Excuses: Why Calmer Conditions Could Expose (and Reward) True Commercial Leadership

A Shift in the Narrative for 2026 In a recent conversation, Scott Luton spoke with Mark Gilham, Vice President & Head of Global Advisory at Enable, about what supply chain and commercial leaders should expect from the year ahead. While many annual outlooks attempt to forecast the next major disruption, Gilham offered a different lens: 2026 may become the “year of no excuses.” After years defined by a global pandemic, inflationary shocks, geopolitical instability, supply shortages, and the rapid rise of AI, organizations have already endured extraordinary volatility. Businesses not only survived, but in many cases adapted and grew. According to Gilham, that reality weakens the argument that disruption alone explains underperformance. Disruption is not disappearing, he cautioned, but leaders can only lean on it for so long.   Why a Calmer Year Raises the Bar Gilham argued that if external conditions stabilize even slightly, the pressure on leadership actually increases. A less chaotic environment removes convenient explanations and shines a brighter light on internal shortcomings. Process gaps, misaligned incentives, and execution failures become harder to ignore when the world is not on fire. Rather than waiting for certainty, Gilham believes leaders should act decisively. This does not mean radical…
supply chain
August 21, 2025

Hire, Onboard, Manage: Treating AI Agents Like New Team Members

Special Guest Blog Post written by Deborah Dull   Imagine it’s launch season in your supply chain, and a team of AI agents is hard at work: coordinating shipments with suppliers, allocating inventory, and handling a missed delivery. It’s hard to go a day without hearing about the latest AI headlines: new LLMs, new applications, new use cases. These discussions are part of my every day. Business leaders and IT teams are eager to explore – and they have a lot of questions… and apprehension. In these discussions, we have found one framework that lands consistently: consider AI agents like new hires, not new software.   Step 1: Hire Like You Mean It Just like hiring humans, this step is about defining what you need. The first decision is the purpose of the role: what problems are you trying to solve? Where are your people overwhelmed? Where is your business growing in coming months? From here, the next decision is to build the business case just like you would for a new headcount. For example, consider the ROI of having a digital employee who can process supplier performance data 24/7. Now, decide on the type of agent that will join…