Meet Adam, Your Everything Teammate for Multifamily Operations

Travtus is deploying advanced analytics and “knowledge mining” using machine learning and generative AI to “radically” change multifamily property management, offering resident-centered design, rapid prototyping and “customer journey mapping.”

According to CEO Tripty Arya, the company has been working with large language models for four years. The result of this work is Adam, “the digital teammate for all multifamily operations”—or, in bot-speak, your “everything teammate.”

Adam is a multi-tasking multifamily bot trained for operational and technical use cases, Arya told GlobeSt. “The first use case is curation of knowledge. The second use case is using that knowledge for better decision-making and benchmarking,” she said.

“We then do a layer of generative AI and statistical analysis for ratings against performance of the community and try to find the needle in the haystack of which of your customers need your attention and why,” Arya said. “Finally, the third use case is automation.”

We met Adam on the bot’s web page (hiadam.ai), where our new everything teammate explained to us how we could quickly become best buddies. Adam said there were three simple human steps we needed to take:

1: Connect Adam to your community inbox, reviews and forms to gather “field intelligence.” 2: Recruit Adam to learn and respond to customer emails, messages and chats with knowledge. 3: Let Adam automate operations and workflows from lead capture and maintenance to payments “and beyond.”

“The first step was mining conversational data from our clients. We connect to voice as well as chat. We connect to client in-boxes,” Arya explained. “We want unbiased interaction with customers.”

“We mine that to understand what your clients are asking you about. Then we mine your company’s knowledge to build out your knowledge base to understand what it is that your employees know,” she said.

“When you have the knowledge and understand what is needed to be done, you are then able to leverage the productivity of the generative AI model,” Arya added. “The user is an employee or a customer, a property owner or a property management company.”

The automation piece is a work in progress. We asked Arya if the bots will get smart enough to leverage the information without human prompts. “Do I think it will happen anytime soon? No, because there aren’t enough experts training any of them,” she responded.

“LLMs are developing, but from a domain-specific perspective, which is real estate itself, there are a very small handful of people who understand what’s possible with these models and how they orchestrate together to get that layer of automation,” Arya said.

“The dream is to get to automation, but there’s a gap in understanding how long it will take,” she added. “100% automation is in the future, not the near future. There’s a really good synergy between property managers and technology, and that will be the future, where you are improving experience by leveraging knowledge.”

So, is your new “everything teammate” eventually going to replace you?

“The co-pilot model allows people to understand the potential of this without the threat of immense change,” Arya said.

“It can only be disruptive if it is widely adopted. For adoption to be full-scale, you need to minimize change management as much as possible,” she said. “Not rocking the boat is part of the disruption. To be transformational, it has to be something that can be adopted with ease.”

Adam helpfully adds: “A digital teammate is an automated team member that is trained to carry out a business process just like any employee, only faster and without mistakes.”

Your new teammate can do stuff much faster than you, doesn’t make mistakes and it won’t eat any of the donuts in the lunchroom. Why would anybody want to replace you?