SUMMARY: The biggest enterprise AI question is 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

SHOW SPONSORS:

• ShareGate - ShareGate Protect. Microsoft 365 Governance. We got this.
• Nasuni - Activate your data for AI and request a demo

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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