In the rapidly evolving tech landscape, the promise of control reigns supreme. And, it’s why founders, CEOs, and technical decision-makers are increasingly drawn to the idea of building in-house platforms. The appeal is understandable: complete sovereignty over every layer of the tech stack, from the user interface down to the most granular data interactions. It's an intoxicating vision that promises a bespoke solution tailored precisely to a company's unique needs.

The business landscape is undergoing radical change across industries, driven by artificial intelligence (AI) and automation. This article will differentiate AI and automation, debunk misconceptions, and highlight what business leaders need to know to navigate the challenges of integrating AI and automation across the value chain. So what’s the difference between AI and automation? AI and automation have distinct purposes.