- Leadership
- Tools
- DevOps
- PowerPlatform
- AI
- Copilot
- Digital_Workforce
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AI Doesn't Need Governance. Businesses Do.
What happens when AI does not perform as expected? Governance should not be positioned as controlling AI. Its purpose is controlling business risk. AI simply introduces new dependencies that must be managed through ownership, policies and accountability. The focus should remain on protecting business outcomes rather than governing technology for its own sake.
The Invisible Organization Chart
Who owns and manages AI capabilities inside the enterprise? Tomorrow's organization charts will contain more than people and departments. They will include AI agents, copilots and autonomous processes. The question is no longer who reports to whom, but who owns which digital capabilities and who remains accountable for business outcomes.
The Next AI Challenge Is Not Intelligence. It's Resilience.
Last week I caught myself getting frustrated with an AI assistant. It was slower than usual. It didn't quite follow my prompts. My first reaction was simple. The AI isn't working. Then I realised something...
Operating in the Age of Intelligence - An Enterprise Operating Model for AI
Artificial Intelligence is rapidly evolving from an innovation initiative into an operational dependency. Across proposal management, customer service, document processing, knowledge management, software development, and decision support, AI is becoming embedded in the way organizations deliver business outcomes.
Better AI Starts with Better Instructions
A lot of AI assistants do not disappoint because the technology is weak. They were disappointed because they weren't guided clearly enough.