Home Latest Insights | News Centricity in Agentic AI Workplace: Four-Vector Model for Organizing AI Agents [podcast]

Centricity in Agentic AI Workplace: Four-Vector Model for Organizing AI Agents [podcast]

Centricity in Agentic AI Workplace: Four-Vector Model for Organizing AI Agents [podcast]

Today, at Tekedia Institute, we publish the four-vector model for Organizing AI Agents in companies. It is explained in my latest podcast.

The summary:

This podcast emphasizes that AI is a transformative force requiring a strategic approach to its integration into organizations. The core idea revolves around the “centricity” for AI agent development, advocating for a centralized AI infrastructure that supports all organizational functions. This centralized approach, akin to Meta’s technology stack, ensures efficient resource utilization and rapid improvements across the board.

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Ndubuisi introduces a “four-vector model” as a framework for organizing the deployment of AI agents. These vectors—customers, employees, technologists/engineers, and partners/suppliers—represent the critical stakeholders and functions that AI must influence to drive organizational efficiency and productivity in the market.

Yes, by focusing AI agent development around these four areas, organizations can create a cohesive and impactful AI strategy. The model suggests that within each of these major vectors, there will be “micro-agents” working in concert, leading to a highly optimized and responsive organization.

Podcast VideoSign-up at Blucera and check Tekedia Daily podcast category under Training module.


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