When everyone claims to be the best AI solution, very few actually feel trustworthy. Trust is the moat. What builds trust: • Make the system understandable. Show what it does, what it doesn’t, and why. • Ground claims in real outcomes. Case studies beat slogans. • Be visible. People trust products when they know who’s behind them. • Build feedback into the product. Users should shape how it learns. • Handle mistakes openly. Trust grows when errors are acknowledged, not hidden. When options are plenty, trust is the reason people stay. Read full article: softwareco.com/designing-for-trust-in-ai #AI #SoftwareDev ##AILeadership #CustomerTrust