The concept of the “last mile problem” is widely recognised across various industries as the challenges faced in the final stage of delivering services or products from a central system to the end user’s location. Although typically associated with telecommunications and transportation, its application extends far beyond these domains.

In the realm of Knowledge Management, we are now witnessing the emergence of the last mile problem. About a year ago, ChatGPT captivated millions of users worldwide, prompting businesses to explore the potential impact of this groundbreaking technology. Knowledge Management quickly became a focal point of interest, with vendors like OpenAI and Microsoft developing APIs and tools for developers to create their own applications. Since then, Fortune 1000 IT departments have been actively experimenting, testing, piloting, and implementing solutions to address productivity inefficiencies.

The possibilities presented by available APIs and services are truly revolutionary. We are witnessing remarkable examples of knowledge repositories being accessed through generative AI, enabling functions that were once considered nearly science fiction.

However, Knowledge Management encompasses far more than an internal dataset complemented by generative APIs that extract knowledge. It encompasses information derived from documents, dashboards, reports, an