Enterprise transformation is evolving. The new focus is on redesigning the operating model, integrating people, processes, ...
Enterprise AI is advancing rapidly. Models are improving, tooling is expanding, and infrastructure is maturing. Yet when organizations move beyond prototypes, their AI systems fail in production. This ...
The way organizations manage AI is changing. The shift is from simple models to agents that act on their own — sometimes for better, sometimes for worse. To handle this, good AI governance means an ...
A company cannot be governed as a collection of intelligent fragments. What’s needed is nothing less than a living model of ...
A CX operating system isn't a platform you buy — it's how modern enterprises coordinate data, AI and people to execute ...
Organizations were not built to absorb enterprise generative artificial intelligence. A 2025 MIT NANDA study found that just ...
Released during TGI’s 250th Leadership Conference, the report calls for a redesign of governance to match the complexity of modern healthcare. Falling Behind argues that U.S. healthcare has outgrown ...
As enterprises adopt increasingly autonomous AI systems, traditional governance models are proving too static to keep pace with emerging risks, regulatory change, and growing accountability demands.
Nonprofit health system boards are governing larger, more complex enterprises than ever before, but a report published April 27 by The Governance Institute — part of NRC Health — argues that ...
The end-to-end delivery structure gives hospitals direct oversight of offshore workflow, governance and automation while preserving offshore cost, efficiency and scale ...
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