Enter the Dragon: On the Potential of Artificial Intelligence in Community Management
Patrick Cadenhead, CMCA, AMS
Much like Balerion the Black Dread cast his immense shadow over the Seven Kingdoms (his wingspan was so large he could engulf entire towns with his shadow), generative AI has soared into the realm of possibility, poised to unleash its transformative power upon community associations. Generative AI refers to artifi cial intelligence systems that can create new content, such as text, images, music, or code, by learning patterns from existing data, often mimicking human creativity. The concept of wielding such power may be both thrilling and daunting, depending on one’s perspective.
Imagine if board packets could assemble themselves, emails could instantly craft and send automatic intelligent responses, and phone calls could be managed by AI in real time. What if the agenda and management report were effortlessly generated? And what if meeting minutes were fl awlessly produced, capturing every detailed motion with precision, with little or no manual effort? These ideas merely scratch the surface of possibility. Just as Aegon’s dragons bent entire kingdoms to his will, generative AI stands ready to reshape the domain of community management, offering those who can harness its power the ability to incinerate the tedious complexities of association administration with the devastating power of dragonsfi re. (With attribution to the Game of Thrones television series based on A Song of Ice and Fire novels by George R. R. Martin.)
Generative AI has already demonstrated its ability to analyze PDF documents, effi ciently identify their contents, and generate concise summaries. With minimal training and customization, tools like ChatGPT can take this a step further by creating detailed agendas based on the information extracted from multiple PDFs, streamlining the planning process for board meetings. These agendas can then be expanded into comprehensive management reports with just a few simple instructions, offering tailored insights and recommendations. Moreover, fi nancial data within PDF and other document formats can be seamlessly extracted, analyzed, and included as needed, or even transformed into visual representations like charts and pie graphs. With the potential for integration with platforms like Adobe Acrobat through API functionalities, generative AI could soon automate the entire process of
assembling board packets, including
organizing, formatting, and compiling all relevant documents. This technology stands on the verge of burning through administrative workfl ows, drastically reducing the time and effort required for board meeting preparation.
Many of us have already experienced the power of ChatGPT to assist in crafting professional email responses. With AI models specifi cally trained on association-related data, a virtual assistant could be developed with intimate knowledge of an association’s governing
16 November | December 2024
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