As artificial intelligence (AI) becomes more accepted across commercial real estate, the conversation is shifting from whether firms will adopt the technology to how they will use it to improve operations, decision-making and investment performance. David Stifter, the CEO of PredictAP, discusses how AI is being applied to some of commercial real estate’s most detailed back-office functions, including invoice coding, accounting workflows and expense management. He addresses why real estate has historically been slower to adopt broad technology tools, why AI may be different, and where purpose-built platforms can help firms manage highly specific, property-level knowledge. Stifter also discusses the balance between automation and human oversight, the limits of AI accuracy, growing fraud risks tied to generative AI, and how better data can help firms identify operational risks, uncover hidden inefficiencies and spot opportunities sooner.
PredictAP aims to help real e
