# AI Pitfalls to avoid - Don't expect AI to solve verything - Be realistic about what AI can and cannot do given limitations of technology, data and engineering resources - Don't hire 2-3 ML engineers and count solely on them to come up with use cases - Pair engineering talent with business talent. Crease cross-functional teams to find feasible and valuable projects - Don't expect AI projects to work the first time - Plan for AI development to be an iterative process. Multiple iterations will be needed to succeed - Don't expect traditional planning processes to apply as is - Work with the AI team to establish timeline estimates, milestones, KPIs, etc - Don't think you need AI superstars - Keep building your team, but get going with what you have