Category: Artificial Intelligence
-
Responsible AI Is an Operating Discipline, Not a Policy
Responsible AI should be integrated into an organization’s operating model rather than treated as a separate principle. Effective responsibility involves clear decision-making authority and structural accountability. Organizations often fail not due to a lack of values but because responsibility is not embedded in daily operations, leading to potential risks and…
-
Demonstrating Responsible AI Governance
Organizations are shifting from promoting AI principles to demonstrating their responsible implementation as AI becomes integral to operations. Governance requires traceability and clear escalation paths to build trust. Documentation becomes essential leadership infrastructure, highlighting the need for organizations to provide evidence of their AI systems’ governance rather than merely supporting…
-
Transforming AI Exposure into Operational Advantage for Leaders
Series #4 of “30-Second Perspectives” emphasizes the shift required for organizations to leverage AI exposure effectively. It argues that accountability transforms AI from a mere technology into a strategic operating model. High-maturity organizations clarify decision rights, embed governance in workflows, and prioritize decision quality, ultimately fostering better, faster decisions.
-
The CISO’s Guide to Scaling AI: A Governance Blueprint Using ServiceNow Zurich
The paper outlines a governance blueprint for scaling AI responsibly in enterprises, emphasizing the necessity of safety measures and audit readiness. With the ServiceNow Zurich release, organizations can ensure AI decisions are explainable and compliant. By utilizing capabilities like Now Assist Guardian and AI Control Tower, companies can address management…
-
AI Doesn’t Fail Quietly. It Exposes Leadership Gaps at Scale.
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…
-
Avoiding ServiceNow AI Misconfigurations
Misconfigured agentic AI workflows pose significant risks, potentially leading to unauthorized access to sensitive data. The Confused Deputy problem, exacerbated by second-order prompt injection, enables privilege escalation. Implementing Zero Trust principles and specific controls, such as supervised execution and continuous monitoring, is crucial for safeguarding against these vulnerabilities in regulated…
-
Elevating Corporate Responsibility Through AI Insights
Series #2 of 30-Second Perspectives examines AI’s role in revealing the true operational integrity of enterprises. Rather than transforming organizations, AI exposes existing weaknesses in data governance and accountability. Leaders must adapt by clarifying ownership, aligning incentives, and treating exposure as an opportunity for improvement, thus ensuring AI amplifies rather…
-
AI Readiness vs Feature Readiness: What Leaders Must Know
Discover why AI readiness goes beyond feature activation. Learn the leadership steps for governance, data quality, and operational discipline in generative AI.
-
The AI Revolution: ServiceNow’s GenAI Shift and the Future of Work
ServiceNow is leading a transformation in enterprise IT by integrating Generative AI (GenAI) into its platform, enhancing workflows and customer interactions. This shift parallels historical tech revolutions and suggests a move towards dynamic consumption models. Companies must adapt to AI advancements, reassess workforce roles, and navigate ethical implications as AI…
SNC Development 