The Agentic AI Operating Model is the next digital transformation strategy, moving beyond simple AI tools to a system of autonomous AI agents that work alongside humans. According to digital strategy consultant Jeffrey Towson, this model consists of four integrated components: the AI Agent Layer, the AI Coordination Layer, the Human Coordination Layer, and the Operating Rhythm. This framework enables companies to fundamentally redesign their operations around the new capabilities of AI.
Explore the structural advantages of bundling in digital strategies, where cross-selling and complementing digital goods play a pivotal role. Digital strategy consultant Jeffrey Towson explains how innovation strategy combines with bundling and cross-selling to enhance business outcomes
Step 3 of the GenAI Playbook reveals how to construct effective barriers to entry using intelligence capabilities. By integrating advanced intelligence into your strategy, you can create a competitive edge that is difficult for rivals to overcome. This article provides actionable steps and insights to strengthen your market position through intelligent innovation.
In step 3 of the GenAI Playbook, we explore the concept of intelligence barriers, comparing them to grids and batteries. This analogy helps to clarify the structural challenges and strategic opportunities within the tech industry. Learn how to leverage these insights to effectively navigate and overcome barriers to entry.
In the third step of the GenAI Playbook, we delve into the critical process of assessing barriers to entry in the tech industry. Understanding these barriers is essential for any business looking to navigate competitive landscapes and secure a strong market position. This guide provides actionable strategies and examples to help you identify and overcome the challenges unique to technology markets.
In this episode of the Tech Strategy Podcast, Jeff Towson explores the second step of his Generative AI Playbook, focusing on the critical aspects of tech strategy. He discusses the key elements that drive successful AI implementation and shares actionable insights for businesses looking to harness the power of generative AI. Tune in for a deep dive into how strategic planning can transform AI potentials into tangible outcomes.
Step 2 of the GenAI Strategy transcends traditional approaches by emphasizing the rate of learning and marathon-like endurance in developing intelligence capabilities. This article delves into how organizations can leverage these strategies to gain a competitive edge in technology. Learn the key components that make up a successful AI strategy and how they can transform your business’s tech trajectory.
Digital strategy consultant Jeffrey Towson breaks down the AI tech stack, highlighting its app, model, and compute layers. This comprehensive analysis is essential for businesses aiming to build a strong digital transformation strategy. Towson emphasizes the importance of understanding these layers to leverage AI effectively in management and operations.
Machine learning transforms the rate of learning, affecting both operating activities and competitive moats.
In sectors like fashion and entertainment, rapid learning becomes a sustainable advantage.
Understanding this foundation is crucial for effective operational performance and staying ahead in the dynamic tech ecosystem.
Human learning rates play a pivotal role in shaping tech strategy. Whether it functions as an operating activity or a moat depends on context.
Industry-specific intelligence thrives on understanding these learning dynamics. Jeff Towson delves into the intricacies of leveraging human learning for competitive advantage.
Explore the interplay between human cognition and business models in the dynamic tech ecosystem.