Why business readiness is critical for supply chain AI

Despite this attitudinal sea change among leaders, one major challenge persists. In the past, technology implementations focused on training and communications — the how, when and why of coming technology change. But AI is different. Successful AI transformation demands a new level of business-readiness in three crucial areas: reshaping processes and governance, redefining employee roles and related upskilling requirements, and realignment and modernization of personal and organizational KPIs across the business.

As organizations approach AI transformation, too many attempt to simply add new technologies to their existing — but quickly aging — workflows and technology environments. This kind of bolt-on approach means two things. The promise of AI in reshaping supply chain efficiencies and outputs will never be truly realized, and those organizations that take a more holistic, business-ready approach will be the ones that win in the emerging age of AI-driven supply chain operations. Enterprise-wide preparation is no longer a nice-to-have but an imperative step toward success that includes a review of end-to-end processes, new modeling and crucial changes to policies and controls.

A new, in-depth report takes a look at the components of process change and examines the critical need for a human-centered approach in the era of AI supply chains.

Download to discover insights into how to best align this enterprise-wide process change with a new determination of how workforce experience and talents should be managed as automation and AI tools advance in daily operations, and the changes required to KPIs to best understand how to achieve success.