Find The Business Problem Before The AI Agent
AI work pays off when it starts from a real business constraint, not a tool wishlist. Run a small test and check the problem is worth solving.
Tag: for-technology-leaders
-
-
Finding AI Gold With Lean Startup Techniques
Most AI efforts start with tools and demos. Better to use product discovery to aim AI at a real business constraint and test the riskiest assumption first.
-
How to Simplify Your Scaling Model as AI Makes Teams Faster
The flattening pitch assumes your teams can deliver an outcome alone. Most cannot. Agents make them faster, not necessarily independent. Here is how agents CAN help you accelerate the descaling process
-
Zoetis CTO on AI Operating-Model Change
Most AI efforts are still stuck in personal productivity. Zoetis CTO Kumar Venugopal on what it takes for AI to change the process itself.
-
AI Isn’t Failing: Our Operating Systems Are
95% of AI projects fail: not because the models are wrong, but because organizations run high-uncertainty AI work in project mode.
-
How to Get AI Initiatives Beyond the Proof of Concept
AI initiatives die in the proof-of-concept stage when run as fixed-scope projects. Clemens Adolphs and I unpack why AI work needs real product discovery.