Latest Advisory
What is Model Context Protocol, Where is it Heading, and Why Should You Care?
Model Context Protocol (MCP) is a vital standard enabling AI agents to automate tasks in core enterprise systems, but requires immediate, strong governance for safe adoption.
What is Model Context Protocol, Where is it Heading, and Why Should You Care?
Model Context Protocol (MCP) is a vital standard enabling AI agents to automate tasks in core enterprise systems, but requires immediate, strong governance for safe adoption.
End-User Testing: Why is it So Critical in Today’s ICT Operations? – Webinar and Presentation Kit
End-user testing is crucial; it guarantees new systems truly meet user needs, enabling a smoother operational handover via service desk and project team collaboration.
VENDORiQ: Will the rush to AI Fragment the HCM Landscape?
Acquisitions like Workday-Paradox risk fragmenting HCM with new data silos, demanding unified AI governance and local compliance scrutiny.
VENDORiQ: ServiceNow Unveils AI Experience – Repositioning it as the Unified Orchestration Layer for Enterprise AI
ServiceNow has announced the release of AI Experience, a unified interface that will span the entire ServiceNow platform and seek to position it as the unified orchestration layer for enterprise AI.
Agentic AI and Leadership’s Duty of Care: The Case for Excellence in AI Governance
Agentic AI demands immediate, top-level governance to manage universal risks, preserve accountability, and protect leaders from personal liability exposure.
Autonomous agentic AI presents a universal risk/value challenge; leaders must urgently establish robust, new-era governance frameworks to meet their personal duty of care.
AI as the Engine of the Innovation Economy: Part 4 – AI Governance Models
AI governance isn’t a brake on progress; it’s a strategic enabler of ethical, scaled innovation, requiring a shift to use-case focus and universal literacy.
Six Questions for Boards and Six Questions for Executives to Ask Regarding AI
Boards and executives must ask targeted questions to bridge their AI knowledge gap, ensuring responsible adoption and effective governance.