The AI feature race is over. Real estate agents need tools they can trust.
Before buying real estate AI software, time end to end workflows, define the result, and check true cost, integration and support quality.
The real estate industry has seen a surge in AI-powered software solutions, but it's becoming clear that agents need more than just flashy technology - they need tools they can trust. With so many options on the market, it's easy to get caught up in the hype, but agents and brokers need to take a step back and assess their true needs. What workflows can be streamlined or automated? What results do they want to achieve, and how will they measure success?
When evaluating AI software, it's crucial to consider the end-to-end workflow and how it will integrate with existing systems and processes. This includes not just the upfront cost, but also any ongoing fees, implementation costs, and potential disruptions to business operations. Moreover, agents need to think about the quality of support and training provided by the software vendor - will they be able to get help when they need it, or will they be left to figure things out on their own?
As the dust settles on the AI feature race, what's next to watch is how these software solutions will evolve to meet the practical needs of agents and brokers. Will vendors focus on delivering robust, user-friendly tools that can be relied on to get the job done, or will they continue to prioritize bells and whistles over substance? For ASID members and the broader real estate community, staying informed about the latest developments and best practices will be key to making informed decisions about AI investments.
Originally reported by housingwire.com. ASIDNews adds analysis for real estate & property readers.