Tuesday, August 11 – 10:00AM ET
The next phase of supply chain AI
From promise to accountable outcomes
How to close the gap between AI adoption and measurable impact
AI adoption in supply chain is already well under way, but there’s a critical fissure between reported use and whether AI is delivering trusted, governed, meaningful business outcomes. As AI moves deeper into real-tdime decision-making and autonomous workflows, there’s a growing need for two-way accountability.
AI accountability is becoming the defining factor for success
In newly released independent research, IDC surveyed over 2,000 supply chain professionals and found:
- Only 2.2% of organizations report having no AI-enabled capabilities in operation*
- But only 12.3% of organizations describe themselves as AI leaders
- 52.3% cite trust in AI-driven decisions as a top barrier
Join IDC research director and guest speaker Eric Thompson alongside Kinaxis speaker Justin King, Field CTO, for a forward-looking discussion on how to move beyond simple AI adoption to accountable outcomes that deliver trusted decisions, measurable value, and governed autonomy.
You’ll learn:
- What “accountable AI” means in a modern supply chain context and why it matters
- How leading organizations build AI trust while improving governance and demonstrating measurable ROI
- Why governance needs to catch up to expectations for autonomous decision-making
- How AI is changing supply chain roles (hint: it’s not doom and gloom)
- What it takes to move from adoption to impact
Join us on August 11 at 10 am EST.
*IDC InfoBrief, sponsored by Kinaxis, Making Supply Chain AI Accountable (Doc #US54792026, July 2026)
Speakers
Eric Thompson
Research Director, Global Supply Chain Planning
IDC
Justin King
Field CTO
Kinaxis
