Notes on strategy, governance, security, and trust from the Dimlang team.
Trust in an AI system isn't a feeling users arrive with. It's a property you design for, deliberately.
Compliance gets treated as the thing that slows AI down. Done right, it's the reason a system gets to scale.
Hallucination gets all the attention because it's easy to demonstrate. It's rarely the risk that costs most.
Questions separating scalable AI initiatives from stalled ones rarely surface early enough.
“Human in the loop” gets treated as a single design pattern. In practice it's several different patterns.
AI systems introduce security surfaces that traditional application security checklists don't cover.
Governance and speed get treated as opposites. Teams shipping AI fastest usually have clearest governance.
Giving your org access to a chatbot isn't the same as having an AI strategy. The gap between the two is where the risk lives.
Most enterprise AI programs don't fail because the model was bad. They fail for the same avoidable reasons.