Your business wants productivity. Legacy vendors want control.

In today’s fast-paced work environment, professionals are often overwhelmed by a multitude of tasks, apps, and notifications. Picture this: a typical workday starts with a browser filled with 22 tabs, multiple apps open, and a relentless stream of unread messages. Despite having advanced technology at our fingertips, many still find themselves bogged down by cluttered interfaces and endless toggling between screens. The promise of artificial intelligence and large language models (LLMs) was to simplify our workflows, yet the reality is that many legacy software vendors are keeping us tied to outdated systems. These companies understand that the true competition lies not in user-friendly dashboards, but in controlling the data that fuels these tools. As AI technology evolves, traditional applications are giving way to innovative solutions like conversational AI and autonomous workflows. This shift means that the focus is moving from the application interface to the underlying data, which is becoming paramount. Major players in customer relationship management (CRM) and other legacy software ecosystems are aware of this transformation. They are implementing stricter policies on data usage to maintain their grip on enterprise clients, preventing seamless access to the data needed for real-time insights. The hidden costs of inefficient workflows are significant. Studies show that knowledge workers switch between applications approximately 1,200 times a day, leading to a staggering loss of productivity—up to four hours weekly. This translates to nearly five weeks of lost work annually, all due to the constraints imposed by legacy systems. However, there is hope. Organizations no longer need to navigate complex menus or dashboards. Instead, they can leverage an intelligent data layer powered by LLMs to streamline tasks such as drafting reports or generating emails with ease. The value lies not in the software interface but in the data itself, which is why legacy vendors are increasingly focused on keeping that data locked within their systems. As LLMs and AI tools continue to render traditional interfaces less relevant, the need for a unified and trusted data foundation has never been clearer. This foundation is essential for harnessing AI's capabilities, ensuring data accuracy, and maintaining autonomy over information. The companies that successfully build this robust data foundation will not only lead in AI but will also redefine control in the business landscape. For insights on establishing this crucial foundation, explore our white paper, 'The 10 Data Rules to Win in the Age of Intelligence.'