Enterprise IT has historically revolved around standardization, consistency, and control. Teams were organized to manage platforms, enforce governance, and ensure uptime. However, the emergence of digital colleagues, agents capable of reasoning, acting, and collaborating, requires a significant shift. The IT management team must reimagine their roles, moving from custodians of technology to strategic designers of intelligent ecosystems.

As digital colleagues join the workforce, the platform-first model of enterprise IT is giving way to a protocol-based architecture that enables intelligence, agility, and coordination across human-AI teams.

Enterprise IT was built around the idea of standardisation. To scale efficiently, organisations invested in platforms that could centralise data, enforce process discipline, and act as the single source of truth. This logic shaped the rise of ERP, CRM and workflow tools - and created a generation of transformation programmes focused on digitising the past.

But that model is starting to collapse.

The rules of enterprise software are being rewritten. For decades, the strategy was clear: standardize processes to cut costs and streamline operations, paving the way for ERP, CRM, and other rigid systems to dominate. These legacy systems belong to an era of fixed processes and centralized control - a model designed for uniformity and efficiency that ultimately locked businesses into inflexible structures

AI is fundamentally changing how organizations operate, lead, and adapt. Beyond being a catalyst for increased productivity, it represents a novel form of capital that, when effectively harnessed, can reshape the operational and competitive landscape. Successful AI adoption requires more than technical expertise—it calls for rethinking team dynamics, leadership, and how organizations manage ongoing change.

AI technologies have the potential to revolutionize industries. However, there is a complex web of regulatory surrounding AI. Companies are eager to harness the benefits of AI, but they must navigate the rules and regulation to ensure ethical and responsible use of AI. Implementing effective and efficient AI governance practices enables businesses to pursue competitive advantages through innovation and optimization in a controlled and compliant manner.

The technological landscape has undergone a series of transformative shifts, each revolutionizing the way businesses operate and interact with the world. In this era of rapid advancements, like previously e.g. cloud and mobile, the notion of "AI First" is a paradigm shift, reshaping how you should approach decision-making, investments, and project portfolio management.