India, April 13 -- There is a pattern that continues to surface across boardrooms. Enterprises are not short of AI, they are short of memory and that distinction is quietly becoming expensive. At a time when AI investments are increasingly tied to measurable business outcomes, this gap is no longer conceptual. It is material.

Over the last two years, organisations have moved with urgency on Generative AI. Co-pilots have been deployed, assistants embedded into workflows, and automation has extended into content, insights, and even decision making. On paper, it signals transformation and progress.

In practice, however, most of these systems share a defining limitation in that they do not retain memory.

Every interaction begins from scrat...