Las Vegas real estate brokerage launching AI avatar to help buyers Housing Business

This coupled with state-of-the-art AI adoption doesn’t guarantee their success but certainly provides them with some early advantages. SuperCity is an app that is rethinking how AI can be used to provide a better experience in how residents engage with their city in areas such as finding information, paying bills, and reporting an issue. It’s still early for AI agents in the private sector and even earlier for them in public agencies. However, one solution, SuperCity, provides an early glimpse at what is coming soon to our cities. This, of course, is just a simple tease at what will be possible in the near future when, for example, AI agents coupled with robots will autonomously carry out the entirety of complex assignments.

Collov AI changes the game

But in many of the country’s most economically influential metros, that number isn’t 35 percent but the majority. Cox agreed, saying that AI and data will allow real estate agents to better comply with their fiduciary duties to clients. “It’s based on AI-powered predictive mode that looks at the likelihood of attrition within our agent base, which helps our market center leaders recruit productive agents, which is core to our business,” Cox said. Tom Coshow, a senior director analyst at Gartner, said many agents today have limited independence, making few decisions and often requiring human review of their actions. Additionally, one of the bigger challenges with deploying agents is ensuring they’re grounded with quality data that produce consistent results, he said.

The Urgent Future Of AI In Cities

• After taking a class about startup research and development, Bonacina and fellow Harvard student Mikhail Andreev decided to build a virtual staging startup to help real estate professionals and home sellers save time and money.
• Unlike a large language model (LLM) or generative AI (genAI) tools, which usually focus on creating content such as text, images, and music, agentic AI is designed to emphasize proactive problem-solving and complex task execution, much as a human would.
• Humans have experience and intuition, which can provide a unique advantage in real estate investing.
• It reduces manual effort by up to 90%, addressing talent shortages and providing actionable insights, according to China Widener, Deloitte’s vice chair and US Technology, Media & Telecom leader.

Despite notable improvements in digitalization over the past decade, in most cities it’s still clunky for constituents, businesses, and visitors to engage in even the most basic government services online. Sure, in smart cities like Singapore, Baku, and Dubai, most municipal services are streamlined and digital, but they remain outliers. They are revolutionizing customer service, IT operations and knowledge management, improving both customer and employee experiences.

This level of creative control empowers real estate professionals to tailor listings for specific buyers — without waiting days or paying extra fees. As data availability and transparency increase, AI’s profound impact on the commercial real estate landscape will empower industry participants to embrace data-driven approaches to enhance decision-making. Stakeholders who understand this monumental shift now can have a significant advantage compared with their peers. Matias Recchia is Co-Founder and CEO of Keyway, the commercial real estate technology platform designed for small and medium businesses. Until now, software agents “have been difficult to implement, requiring laborious, rule-based programming or highly specific training of machine-learning models,” the McKinsey team noted. Capgemini, however, warned that organizations planning to implement AI agents should establish safeguards to ensure transparency and accountability for any AI-driven decisions.

He also served as a research manager at IDC, where he focused on software-defined infrastructure, compute, and storage within the Infrastructure Systems, Platforms, and Technologies group. The challenge is that AI agents must both make decisions and execute processes, which requires integrating automation tools like iPaaS and RPA with AI’s flexible decision-making, Forrester said. For example, Salesforce Einstein is designed to enhance customer relationship management using predictive analytics and automation. And Auto-GPT enables users to create an autonomous assistant to complete complex tasks by analyzing a text prompt with GPT-4 and GPT-4o then breaking the goal into manageable subtasks.

This could benefit sellers as agents double down on past tactics tied to faster or more lucrative sales. Hiatt, a Las Vegas-based broker who is also the owner of Luxury Realty Group, is currently beta testing an AI conversational avatar that speaks with potential homebuyers and learns from those interactions. Hiatt said they are scheduled to launch the technology in 22 U.S. cities and three in Canada as part of the rollout at the start of June, The goal is to have about 24 agents in each city. It seems there’s daily chatter in the news lately around the meteoric rise in the use of artificial intelligence, ranging from the wow factor to doom and gloom.

The technology will automate mundane tasks like data entry and posting listings to the Multiple Listing Service, Linsell said. While most AI “agents” on the market now are not truly agentic, today’s AI assistants are rapidly evolving into tomorrow’s agents, with increasing levels of autonomy and adaptability. Specialized AI agents will further enhance digital experiences and support the work of human teams across functions.

That’s because AI agents that use unclean data can introduce errors, inconsistencies, or missing values that make it difficult for the model to make accurate predictions or decisions. If the dataset has missing values for certain features, for instance, the model might incorrectly assume relationships or fail to generalize well to new data. Widener said genAI agents AI enhance customer interactions by personalizing services and automating support tasks. It customizes recommendations, guides setups, and streamlines human handoffs with summarized details. Agentic AI – supporting autonomous applications, where it’s value is surfaced – requires a strengthening of “cross-functional alignment between technology, business and compliance teams,” said Prashant Kelker, chief strategy officer with ISG. Still, most (68%) report that half or fewer of their employees interact with agents in their everyday work.

Unlike traditional AI tools that are handcuffed by constant human input, AI agents operate with a level of autonomy that sets them apart. These digital assistants don’t just execute commands; they anticipate needs, analyze data in real time and make decisions that drive efficiency. They seamlessly integrate into existing IT ecosystems, requiring little disruption while delivering massive impact. The next stage of generative AI is likely to be even “more transformative”, Yee and her colleagues suggested. AI coworkers such as virtual assistants, agents, copilots, and autonomous workplace assistants continuously learn to analyze, interpret, and take action on data in context of the systems and processes used to communicate and get work done. After taking a class about startup research and development, Bonacina and fellow Harvard student Mikhail Andreev decided to build a virtual staging startup to help real estate professionals and home sellers save time and money.

Agents still must use their knowledge and expertise to perfect the description, but “they don’t have to start from scratch,” he said. Zillow began using AI algorithms in 2006 to create its Zestimates of home values, and virtual assistants like Siri surfaced in 2011. The AI agent revolution is still in its early stages, but the trajectory is clear. As these intelligent systems continue to evolve, their capabilities will become even more powerful. Michele Lerner (email protected) covers real estate, interior design, and personal finance.

At Johnson & Johnson, AI agents now assist in drug discovery by optimizing chemical synthesis, including determining the best timing for solvent switches to crystallize molecules into drugs. While effective, the company remains cautious about potential risks, like biased outputs or errors, according to CIO Jim Swanson. “For instance, one could imagine a multi-agent system involving an AI project manager, blog writer, brand manager, editor, and SEO specialist working in concert to automatically create on-brand marketing material,” he said.

In another example, a vendor, Qventus, offers a customer-facing AI-based assistant called the Patient Concierge, which calls patients and reminds them of appointments, reiterates pre- and post-op guidelines, and answers general care questions. Thompson Hine employs more than 400 attorneys, operates in nine US states and promotes its use of advanced technologies, including AI, in providing legal services. “These risks will influence AI adoption, as companies must assess their risk tolerance and invest in proper monitoring and oversight,” according to a Forrester Research report — “The State Of AI Agents” — published in October. AI also helps combat fraud and cybersecurity threats by detecting anomalies in real time and automating tasks like vulnerability detection. It reduces manual effort by up to 90%, addressing talent shortages and providing actionable insights, according to China Widener, Deloitte’s vice chair and US Technology, Media & Telecom leader. For example, rather than the city being required to manage the complex integration of accepting payments from the app for say, a parking ticket, SuperCity uses AI to meet city requirements and then seamlessly logs in and submits the payment.