Beyond Automation: How AI Memory and Digital Twins Redefine Business Orchestration

J

Jason Averbook

LinkedIn Author

Senior Partner @ Mercer | Global Leader – Digital Transformation, AI, Business Strategy; Author; Analyst; Investor, Board Member, Keynote Speaker, Top 25 Global HR Consultant

This past week saw two significant, yet perhaps understated, product launches that signal a profound shift in the AI landscape. Far from being just another wave of AI product drops, these developments point towards a future of sophisticated business orchestration, moving beyond simple automation.

Anthropic’s Claude, with its new ‘Skills’ feature, now possesses the ability to remember how you work, not just what you ask. Simultaneously, Viven’s Digital Twins are emerging as powerful tools to capture the nuances of how individuals decide, communicate, and learn in real-time. These innovations are not merely about making tasks faster; they are about enabling a more intelligent and integrated way of working.

The Power of Orchestration Over Automation

The common misconception is that these advancements are solely about automation. However, the true potential lies in orchestration. When AI capabilities like Claude’s memory are combined with the contextual understanding provided by Digital Twins, the impact is multiplicative, not additive. As Jason Averbook aptly puts it, when memory meets mirror, the math changes significantly. The synergy between ‘Skills’ and ‘Twins’ doesn’t simply add up; it amplifies each other, with the twin providing context to the skills and the skills offering structure to the twin.

A Shift in How We Interact with AI

For decades, the focus has been on teaching tools what to do. Now, we are entering an era where we teach these tools how *we* do things – incorporating our unique tone, our established processes, and our critical judgment. This represents not an outsourcing of intelligence, but a powerful extension of it. The core mindset shift here is crucial: true progress isn’t about finding shortcuts, but about capturing and leveraging the learning process itself.

Capturing Collective Knowledge

The essence of this evolution is the ability to say, “I figured this out, and let’s ensure nobody has to start from zero again.” This approach democratizes expertise and accelerates organizational learning. It’s about codifying and sharing the hard-won insights that drive success.

The Future of AI in the Workplace

The fear that AI will replace humans is a common one. However, these developments suggest a different future. Instead of replacement, AI may finally provide the tools we need to overcome the inefficiencies and knowledge silos that plague so many organizations. It’s about enhancing human capability and fostering better collaboration and understanding within the workplace.

This perspective, originally shared by Jason Averbook on LinkedIn, offers a valuable insight into the next frontier of AI adoption in business. It challenges us to think beyond task automation and embrace the potential for intelligent orchestration.

📝 About This Content

This article is based on insights shared by Jason Averbook on LinkedIn.

📅 Originally posted on October 19, 2025 | View original post on LinkedIn →