Most agentic AI deployments are aimed at the largest, most complex organisations. In practice, the clearest early results are coming from environments where the problem is smaller, better defined, and not buried under twenty years of accumulated complexity.
Most enterprise AI initiatives stall not because of the technology but because the information foundation underneath them is fragmented, ungoverned, and permission-blind. Here is what that actually looks like and how organisations fix it.
After a decade delivering enterprise search across government agencies, major banks, and regulated organisations, these are the patterns that determine whether search actually holds up in production.
AI ambition meets enterprise reality NAB had already begun exploring how AI could improve internal operations and support employees in navigating complex information environments. Teams
Many organisations rush to deploy customer-facing AI assistants. In practice, the most successful AI initiatives begin by fixing internal knowledge systems first.
Across large organisations, AI now has a strange status. It is no longer experimental in the old sense. Boards ask about it. Leadership teams issue
