Would you trust an AI agent to handle site reliability?

ArchitectureStrategy

Yes, this would alleviate pressure on the team43%

Somewhat, AI agents could play a role but humans need to be involved54%

No, this would be too risky4%

80 PARTICIPANTS
493 viewscircle icon1 Upvotecircle icon1 Comment
Sort by:
Fractional CIO in Services (non-Government)4 months ago

Handle, no. Monitor, yes. 

Content you might like

If you were designing an “AI leader” role at your organization, which of the following would be non-negotiable responsibilities? Select all that apply

Drive AI innovation 38%

Develop AI strategy 71%

Build AI team 29%

Establish use cases 19%

Track market trends 24%

New vendor discovery 24%

Design AI architecture 14%

Manage AI governance 24%

Improve AI delivery models

Something else (share in comments!)

View Results

How are you incorporating regulatory uncertainty and policy changes into your technology roadmaps? What contingency planning approaches have proven most effective for your organization?

Read More Comments

Which of the following flexible data infrastructure measures do you have in place at your org?

Cloud-based solutions 13%

Modular and microservices architecture 53%

Data virtualization 33%

API-driven integration 53%

Containerization (e.g., docker, kubernetes) 60%

Schema-on-read approaches 20%

Automated data management tasks 20%

Prioritize interoperability and standards 7%

Real-time data processing 7%

View Results

‘AI’ Business Model – With many components flowing into the AI domain (cost, data, E&C, people, value, strategy, duplication of everything, etc.), I’ve started to think about splitting out ‘AI’ from the operating model and putting it into a separate legal entity. This way, I could manage a) risk and compliance, b) cost, c) resource allocation, d) governance, e) IP, f) revenue generation, etc.

Of course, this isn’t new in general, but I’m especially interested in how this approach could help with the ongoing challenge of ensuring compliance with data privacy and regulations related to LLMs and data access/usage over time.

My question: Is anyone else thinking about this, or has anyone already done it? I know there are examples in the literature, but I wanted to float this here for general comments and discussion.

Read More Comments

Digital transformation isn’t just about new tools, it’s about changing how teams work. Key lessons I’ve observed: 1. Start with process bottlenecks, not technology 2. Empower cross-functional teams 3. Measure outcomes, not outputs   What has been the most surprising lesson your teams have learned during a transformation?

Read More Comments