When was the last time you’ve heard the term “system of intelligence”?

Machine Learning (ML)Artificial Intelligence (AI)

< 1 year ago11%

1-3 years ago63%

3-5 years ago18%

5+ years ago8%

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What is the one business pain point / challenge that you regularly face, that you wish AI had solved it? The problem could be a time consuming, routine task that is frustrating to handle. It may happen daily / weekly / monthly, and you may lose many hours on it which results in delays / added cost.

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‘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.

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What is the biggest factor that will determine successful adoption of Agentic AI?

Strategic Alignment: ensuring AI projects directly support mission outcomes and priorities.31%

Governance & Oversight: establishing clear policies, risk management, and accountability frameworks.48%

Workforce Readiness: building AI literacy, confidence, and trust across roles.19%

Technical Infrastructure: ensuring secure, accessible data and platforms to support AI.2%

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How do you approach managing multiple enterprise systems (ServiceNow, Workday, Oracle, SAP, Salesforce) that all want to leverage AI? How do you handle security and infrastructure complexity, and do you see a role for an agnostic AI orchestrator?

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What's the most important friction in deploying Robotic Process Automation (RPA) in your company?

Cost of RPA products25%

Lack of developers who can code RPA applications43%

Amount of customization needed to automate business processes27%

Lack of RPA code maintenance resources4%

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