Before companies seize productivity advantages through agentic AI, they’ll have to contend with a messy period of agent sprawl, poor design choices and inefficient workflows. When the dust settles, success won’t just be about the ease of agent building. The companies that succeed will most likely prioritise thoughtful design and problem solving, and find clever ways to balance bottom-up innovation with lightweight governance.

Don’t give into AI FOMO. Board the train at your preferred station.

AI transformation is more about behaviour change than technological change. Job insecurity, misaligned incentives, incompatible work environments and fragmented work systems can be impediments to this new way of working.

AI is rarely perfect or production-ready. Working with AI means embracing a perpetual beta mindset. And perpetual betas always need humans in the loop.

The days of manually curating and organising company knowledge will soon be behind us. Knowledge managers can’t operate as librarians anymore. They must, instead, elevate their AI literacy, implement an AI-first KM stack and deploy themselves as consultants to implement knowledge-enabled workflows.