My Vision for AI
I believe AI is a force for efficiency, alignment, and augmentation. Its highest value lies not in replacing people, but in enabling them. By automating the repetitive and the routine, AI frees us to focus on the creative, the complex, and the consequential.
As agentic workflows become prevalent, enterprises will evolve beyond siloed, function-led models defined by Conway’s Law. Instead, they’ll become goal-oriented systems, where AI agents coordinate intent, action, and feedback across teams, platforms, and processes. Work will become orchestrated, not assigned.
To support this, enterprises need to invest in semantic layers—machine-readable representations of their business domains, data, and logic. This will enable intelligent agents to reason with context, navigate complexity, and operate within guardrails. These semantic foundations are essential to the creation of digital twins: dynamic models of the business (and of individuals) that allow AI to simulate, test, and optimize decisions before real-world execution.
But none of this transformation is possible without trust. AI systems must be transparent, explainable, and auditable. Governance, safety, and human oversight are not optional—they are the foundation. AI should extend our judgment, not override it.
The future isn’t about humans vs. machines. It’s about designing a new kind of enterprise, one where humans and intelligent systems work in partnership. Where strategy is expressed as intent, and AI helps deliver it with speed, precision, and accountability.








