Rewiring the Operating Model for AI
AI just broke the old operating model. Dr. Mik Kersten, AI expert in residence at Planview and author of Output to Outcome, joins Alan Shimel on why enterprises must rewire around an AI native operating model. Furthermore, Mik unpacks the seven shifts leaders use to pull ahead.
About Mik Kersten
Mik spent a decade in open source before founding Tasktop and creating the value stream management category. Consequently, he now helps CEOs turn technology teams into the core of the business.
Inside the AI native operating model
Mik argues that outputs are becoming cheap while outcomes are the real prize. As a result, small empowered teams sit closer to customer value. Meanwhile, the old matrix, approval and funding processes become the new bottleneck.
In addition, Mik uses the electricity analogy. Therefore, dropping AI into a legacy org chart is like bolting an electric motor onto a steam-era factory, and the real gains arrive only after teams, budgets and decisions get decentralized across every level of the organization.
Why the AI native operating model matters now
Meanwhile, Mik lays out seven shifts, from slop to substance and matrix to modularity, that CEOs and team leaders can apply today. Consequently, the winners are already pulling ahead with outcome trees and fast feedback loops that compound advantage quarter after quarter.
Explore more AI coverage and the latest Techstrong TV interviews. Furthermore, Output to Outcome is out now on Amazon, Barnes and Noble and in audio. Meanwhile, Mik shares the mental models that help leaders spot the real constraint. Learn more at planview.com.
