The AI pilot worked. So why is nobody using it?
Most AI pilots that stall do so because nobody asked how they would run in live operations: who owns them, what data they can reach, what they're allowed to do, and who supports them. Part 1 of 3.
Insights
Short pieces on the six production enablers and how to put them in place. We publish on LinkedIn.
Most AI pilots that stall do so because nobody asked how they would run in live operations: who owns them, what data they can reach, what they're allowed to do, and who supports them. Part 1 of 3.
The first agent is expensive because it builds foundations every later agent needs: documented data, engineering patterns, governance and support. Keep and reuse that work, and each deployment should get cheaper and faster. Part 2 of 3.
A platform gives you technical capability, not the organisation to use it. It can't decide what an agent is allowed to do or which decisions need a person. That takes three linked parts: the platform, an enablement team that makes each deployment easier, and business owners accountable for the outcomes. Part 3 of 3.
Twelve questions, five minutes, an answer on screen. Or talk it through with the people who'd do the work.