Insights
What we learn implementing AI in real operations — no smoke and mirrors, no fortune-telling, just the numbers.
Security, multi-country compliance, and data that doesn't train third-party models.
Template and arguments that work with skeptical CFOs.
What level of data maturity each type of use case requires.
Model drift, process changes, and the hidden cost of "set and forget."
The Impact × Feasibility framework explained with real-world examples.
What we learned when automating prospect responses in multi-country campaigns.
