Understand what creates the risk.
AI projects fail when the model is treated as the product. A demonstration may look impressive without fitting a real process, reaching trusted information or handling uncertainty safely. Valuable automation requires a defined business event, measurable volume, clear quality expectations and an owner for exceptions. Ordinary rules and integrations should handle predictable steps, while AI is reserved for language, documents and judgement where it adds genuine value.