30-Second Perspectives A 30-Second Perspective on pre-processing governance and the gap at the bottom of the enterprise AI stack. At Knowledge 2026 this week, ServiceNow is demonstrating what a mature AI governance architecture looks like inside the platform. Four enforcement planes, clearly defined. Model governance, agentic execution, identity and access, policy and accountability, each…

30‑Second Perspectives — Responsible AI as an Operating Model Most organizations don’t fail at responsible AI because of bad intent. They fail because their operating model can’t support it. Responsible AI isn’t a checklist or a set of principles stapled onto existing systems. It’s an operating model—defined by who makes decisions, how exceptions are handled, and where accountability lands when…

30‑Second Perspectives — Responsible AI as an Operating Model Most organizations don’t fail at responsible AI because of bad intent. They fail because their operating model can’t support it. Responsible AI isn’t a checklist or a set of principles stapled onto existing systems. It’s an operating model—defined by who makes decisions, how exceptions are handled, and where accountability lands when…

30-Second Perspectives | From Principles to Proof For the last few years, organizations have invested heavily in AI principles. Ethics statements. Review boards. Responsible AI commitments. That work mattered. It still does. But as AI moves from experimentation into daily operations, leadership expectations are changing. The question is no longer whether we believe in responsible AI. It’s…

30-Second Perspectives — Series #4 Response & Accountability: Turning AI Exposure into Durable Operating Advantage In the first three parts of this series, we traced a familiar pattern in enterprise AI adoption. In Series #1, we established that AI readiness is not feature readiness. It is an operating posture defined by discipline, ownership, and data fitness. In Series #2, we examined how…

Scaling Responsible AI in the Enterprise: A Governance Blueprint for Safe, Audit-Ready Adoption Practical patterns informed by the ServiceNow Zurich release (Guardian + AI Control Tower), tailored for enterprises operating under strict data-sharing, audit, and regulatory requirements. AI has moved from emerging technology to everyday conversation, occurring in boardrooms, operational reviews,…

Practical patterns informed by the ServiceNow Zurich release (Guardian + AI Control Tower), tailored for enterprises operating under strict data-sharing, audit, and regulatory requirements. AI has shifted from emerging technology to everyday conversation, in boardrooms, operating reviews, and global strategy discussions. The excitement is justified, but the pace introduces new uncertainty.I…

30-Second Perspectives — Series #3 Roadblocks & Challenges: Why AI Exposure Doesn’t Automatically Become Progress In Series #1, we established that AI readiness is not about features, it’s about operational discipline and ownership. In Series #2, we explored how AI acts as a live diagnostic, exposing how decisions, data, and accountability actually work inside the enterprise. What follows is…

Closing out the year with appreciation for the people and perspectives that made it meaningful. I hope the holiday season brings space to recharge, reflect, and reset—personally and professionally. Wishing you a restful break and a strong, intentional start to 2026.

An AI Security Perspective on a Hidden, Fixable Exposure Why misconfigured agentic AI workflows pose a real enterprise risk, and how to mitigate it. Misconfiguration in agentic AI workflows can result in unintended access to sensitive data, including PHI and PII. In regulated environments, this creates direct exposure under frameworks such as HIPAA and GDPR. This isn’t just a security concern;…