Speakers at HousingWire’s AI Summit said AI strategy should start with the problem and the user workflow, not the tool. They emphasized data rights, vendor longevity, and responsible AI guardrails, especially as systems move toward agentic AI.
Introduction to AI Adoption Challenges
Incorporating AI into business workflows is crucial for housing companies. Many leaders face the dilemma of whether to buy pre-existing AI solutions or build their own. Tyler Morton, a broker-owner and AI system founder, initially failed at building an AI tool because it didn't align with how his agents naturally communicated, emphasizing the need to focus on user workflow rather than just the technology itself.
Build or Buy
Tyler Morton built his AI tool to enhance his agents' experience without disrupting their existing processes. He advises buying AI solutions for common needs that are likely already well-developed, like CRMs. However, when purchasing, he stresses the importance of scrutinizing data usage policies and the potential longevity of the vendor's product, citing a past experience where a service like Facebook Workplace was discontinued, raising concerns about data accessibility.
A Hands-On Experience Either Way
Brooke Anderson-Tompkins asserts that even when buying AI technology, businesses retain a significant responsibility in 'building' its effectiveness within their operations. She highlights the need to establish robust 'guardrails' for AI, especially as systems evolve towards 'agentic AI,' to ensure outputs align with a company's mission, values, and risk tolerance. Both experts advise leaders to focus on solving underlying business problems with AI rather than being swayed by mere hype, suggesting that companies of any size can begin AI adoption by tackling small, time-saving tasks.
