An AI system that can do everything, knows everything, and connects all departments. Sounds perfect. We tested it for six months in parallel with our 53 AI assistants. The result surprised even us.

In this episode, you’ll learn:

- What makes the AI operating system different from the agent approach

- Why a system without a face and a role does not build trust

- How an AI system checks itself, and why that is a problem

- How a governance incident showed us where the real risks are

- Why the agent approach is human-first and the operating system is AI-first

- The key question that shows you which approach fits your company

This is part 3 of our blog and podcast series about AI architecture in companies.

Sources:

- Leaders of AI blog series: AI architecture in organizations, part 1–3

- Internal self-experiment

More about Leaders of AI: leadersofai.com

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