Organizational Intelligence Embedded in Fine-Tuned LLMs

Organizational intelligence refers to an organization's capacity to effectively gather, process, and utilize information to make informed decisions, adapt to its environment, and achieve its goals. It's about how well an organization understands its data, processes, and metrics, and how effectively it uses this understanding to improve performance. Think of it as the organization's ability to learn, adapt, and innovate - its brain.

Organizational intelligence has historically been retained in employees' and managers' minds, processes, and artifacts. As enterprises digitize more of their interactions in electronic documents and communications (text, audio, video calls, etc.), this data corpus becomes available to train LLMs/foundation models. It is not far-fetched to think of a fine-tuned foundation model as an organization's brain in the future, its most precious asset, and moat.

Similar to the culture and processes an enterprise has today, the organization’s fine-tuned model will embed the company’s context, understanding of data, and, via agentic processes, the capability to improve business performance. As time passes, we can expect an enterprise’s fine-tuned foundation model to continue to absorb the company’s business frameworks, lessening any dependence on human memory, processes, or decision-making.

It is key for a company to have wide access to internal and external data, as well as the capability to have human team members (and AI agents) orchestrate multi-agent workflows for task execution.

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