The transition from simple automation to autonomous agents creates significant complexity for most organizations. Digital strategy consultant Jeffrey Towson identifies two primary bottlenecks that prevent these systems from scaling effectively across diverse business units. Success requires a more robust digital transformation strategy that addresses the specific limitations of current agentic frameworks.
The 2026 Mobile World Congress served as a pivotal moment for identifying the next wave of infrastructure and consumer tech trends. In this episode, digital strategy consultant Jeffrey Towson provides a detailed analysis of how these shifts impact a company’s long-term digital transformation strategy. From AI integration at the edge to the maturation of 6G, these five takeaways highlight the current state of global tech competition.
The second takeaway from MWC 2026 highlights that high-performance processors are only one half of the equation for Huawei’s growing influence. Digital strategy consultant Jeffrey Towson argues that the ability to deploy complex AI infrastructure depends heavily on the engineers and experts who manage these systems on the ground. This focus on people over just hardware is a defining characteristic of a resilient digital transformation strategy for enterprises navigating the shifting tech landscape.
The core argument is that AI is transitioning from a passive tool to an active, goal-oriented partner, creating a new agentic AI operating model. This represents a fundamental shift for digital transformation strategy, moving beyond simple task automation. According to digital strategy consultant Jeffrey Towson, this new model is becoming the central operating system for the entire enterprise.
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.
As digital strategy consultant Jeffrey Towson explains, AI agents need data ecosystems to function effectively, which has significant implications for businesses developing their digital transformation strategy. A well-designed data ecosystem can provide the necessary infrastructure for AI agents to learn and improve, driving innovation and growth. By understanding the importance of data ecosystems, businesses can refine their digital strategy and stay ahead of the curve, as emphasized by Jeffrey Towson in his discussion of the role of AI agents in shaping the future of technology.
As companies embark on their digital transformation strategy, they must consider the potential impact of AI agents on their business, according to digital strategy consultant Jeffrey Towson. In his analysis, Towson questions whether AI agents necessarily require marketplaces or platform business models to succeed, challenging conventional wisdom on the topic. By rethinking the relationship between AI agents and platform business models, businesses can develop a more effective digital transformation strategy that leverages the strengths of these emerging technologies.
According to digital strategy consultant Jeffrey Towson, piloting AI agents is a critical step in any digital transformation strategy, allowing businesses to stay ahead of the curve. In his Tech Strategy podcast, episode 238, Towson emphasizes the importance of adopting AI agents to drive innovation and growth. By starting to pilot AI agents as soon as possible, organizations can develop a robust digital transformation strategy and reap the benefits of this emerging technology, as highlighted by digital strategy consultant Jeffrey Towson.
ADP is a leading provider of cloud-based payroll and HR software solutions, serving over 800,000 clients worldwide. In this article, we explore how ADP is leveraging AI to enhance its human capital management (HCM) capabilities and create a differentiated value proposition for its customers. We also discuss the strategic implications of ADP’s AI initiatives and how they position the company for future growth and profitability.
The future of work is not just about humans, but also about non-human workforces such as robots, software, and AI. How can ADP, a company that has been serving human capital for decades, adapt and thrive in this new era? In this podcast, Jeff Towson discusses ADP’s strengths, challenges, and opportunities in the changing landscape of work.