The Enterprise AI Show
The Enterprise AI Show explores the AI journey for Enterprise companies around the world. [formerly The Cloudcast]
As the AI revolution moves from experimentation to execution, The Enterprise AI Show provides the clarity needed to lead. Join Aaron Delp and Brian Gracely as they explore the intersection of generative AI, enterprise systems, and global business strategy. Each episode features clear-headed conversations with the people making actual decisions—founders, investors, and practitioners—focusing on the technical architectures and business models that drive real-world ROI.
New shows every Wednesday and Sunday.
Topics: Enterprise AI strategy · The AI Economy · LLMs in production · AI leadership · Agentic AI · Digital Sovereignty · Machine Learning · AI startups · Cloud Computing
The Enterprise AI Show
How will team collaboration evolve within Enterprise AI?
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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?
FEEDBACK?
- Email: show @ the enterprise ai show dot come
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- Twitter/X: @TheEntAIShow
- Instagram: @TheEntAIShow
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