SUMMARY: The biggest enterprise AI question may no longer be which model is smartest? Instead, which organization can most effectively operationalize, govern, and economically scale AI agents across the business?’

SHOW: 1032

SHOW TRANSCRIPT: The Enterprise AI Show #1032 Transcript

SHOW VIDEO: https://youtu.be/GsK_RUnYroI

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SHOW NOTES:

Opening Thesis - How will team collaboration evolve within Enterprise AI?

Question: Any suggestions on how to introduce enterprise-level governance and standardisation for agentic coding? Like skills, rules, plugins, context etc

Key Topics

1. This isn’t a Coding-specific problem. Every team has this issue.

If your processes weren’t well defined and enforced before, they will be worse now
Not it’s not just process standardization, but “buy-in” standardization

2. Everything moves so fast, so managers don’t have the answers (yet)

AI value is being created bottom-up, but paid for (and mandated) top-down
The current measurements aren’t useful (tokenmaxxing, all-or-nothing, etc.)

3. The governance tools don’t exist yet.

And it’s not clear that anyone wants them. They didn’t want them before.
How do you even define governance? What’s the baby step before that, reuse and basic sharing?

4. Are we ready to invest in “Centers of Excellence” again?

5. We under-estimate the “creativity” element in human buy-in.

Is success measured in improvement or replacement?
How much of that did “you” do? We don’t know how to measure that.
We haven’t lived through an AI-centric promotion cycle yet

6. Bottom-up and Top-down need to find some common language and middle ground.

Have they walked a mile in each other’s shoes yet (or lately)?
How to bring a reality to the hype vs. demands vs. learning curve?
How long is an AI-centric cycle vs. a pre-AI-centric cycle?

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