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Archive of stories in "Fast Company"

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In

Enrique Dans

by

Enrique Dans

·

3d ago

Stop building digital employees. Start building intelligent companies

IMAGE: A crumbling hierarchy of robot workers flows into a unified, transparent system that preserves the company’s knowledge and learning.

In

Enrique Dans

by

Enrique Dans

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Nov 1

An emergency brake… or the architectural demotion of the AI model?

On June 14, Satya Nadella published an article on X about corporate AI that left me completely impressed: his main point, that the…

IMAGE: A luminous AI core is contained inside a transparent engineered chamber, while a human hand controls an external lever beyond its reach.

In

Enrique Dans

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Enrique Dans

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Oct 25

When AI runs the company, what exactly is leadership for?

For quite some time in this already long series of articles on what is and what should be corporate AI, we have been discussing concepts…

IMAGE: A business leader oversees an AI-driven company where autonomous teams continuously optimize operations, while leadership focuses on objectives, constraints, trade-offs, culture, and long-term direction.

In

Enrique Dans

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Enrique Dans

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Oct 12

Your company’s AI needs a scoreboard

I’m talking to many companies these days that are trying to incorporate AI into their business practices. Most of them are still in what I…

IMAGE: A corporate AI presents executives with a business scoreboard tracking outcomes such as revenue, margin, retention, quality, delivery time, compliance, and customer value.

In

Enrique Dans

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Enrique Dans

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Oct 4

Enterprise AI has an empty seat

This is something you have probably noticed several times, at least, I’ve certainly have: when you use an AI chatbot for personal…

IMAGE: A boardroom team faces an empty glowing chair representing the missing control function in enterprise AI, while business goals on the wall emphasize staying on course, learning from results, adapting, and delivering value.

In

Enrique Dans

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Enrique Dans

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Sep 29

Why your company’s AI should get better every day

Imagine working with someone who was completely unable to learn, to gain any experience whatsoever. There’s no need to picture someone…

IMAGE: A small AI robot climbs illuminated steps from interactions and feedback toward better decisions and higher value, carrying a case labeled with the company’s experience as a business leader watches the learning curve rise.

In

Enrique Dans

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Enrique Dans

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Sep 25

Enterprise AI is waiting for its iPhone moment

IMAGE: A split-screen illustration contrasts today’s complex enterprise AI deployments — full of integrations, frameworks, consultants and technical plumbing — with a future in which business users can simply add AI capabilities as easily as installing an app.

In

Enrique Dans

by

Enrique Dans

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Sep 18

We are programming AI in assembly language

In this series of articles devoted to what I believe corporate AI should be, we’ve been touching on a very provocative idea: perhaps the…

IMAGE: A split-screen illustration contrasts today’s complex, hand-assembled AI stack — full of code, memory, permissions, retries and orchestration — with a cleaner AI-native runtime where state, workflows, security, observability and learning are built into the platform itself.

In

Enrique Dans

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Enrique Dans

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Sep 13

AI cannot optimize a company it cannot understand

For many weeks now, I have been trying to describe in this section what I think is the future of corporate AI. Now imagine that someone…

IMAGE: A corporate leader faces two versions of the same organization: one fragmented into disconnected data and guesswork, and another represented as a structured model of entities, relationships, rules, actions, outcomes, and feedback loops that enable progressively better decisions.

In

Enrique Dans

by

Enrique Dans

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Sep 8

When everyone has the same AI, what makes your company smarter?

After a few years monitoring and studying corporate AI implementations, I’m still puzzled by one thing: most of them begin with a…

IMAGE: A split-screen illustration contrasts companies using the same generic AI and receiving similar answers with a company building its own learning loop from proprietary data, actions, outcomes, and feedback — turning shared AI capability into differentiated institutional intelligence.