Virtual Staging AI helps Realtors digitally furnish rooms within seconds

AI is finding its way into every aspect of city operations including public safety, planning, transportation, and citizen services. The most popular uses include task automation, support for decision-making, and engagement with the community. Estrada, the Beverly Hills agent who uses AI “for everything,” has experimented with applications that virtually furnish, or “stage,” a home for showings. Another application uses AI to show buyers how a tired, dilapidated home might look after remodeling.

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Specialized models could compute answers with fewer calculations and less energy, with agents efficiently choosing the right model for each task — a challenge for humans today, according to Lee. Trust in autonomous AI agent is another challenge, as revealed in the PwC survey. Thirty-nine percent of executives still do not trust handing over tasks to agents, and 35% are concerned about maintaining human oversight and accountability. Perhaps the emerging AI technology that promises the most radical shift in how people experience their local government will be through the deployment of AI agents.

• It could also identify neighborhoods or properties that buyers may not have discovered otherwise.
• Similarly, Deloitte predicts that enterprises using AI agents this year will grow their use of the technology by 50% over the next two years.
• On a whim, and sometimes just for fun, consumers can view properties from any computer or smartphone via virtual tours.
• The technology will automate mundane tasks like data entry and posting listings to the Multiple Listing Service, Linsell said.
• Beyond efficiency, AI agents also play a critical role in decision intelligence.

Using the buyers’ preferences and a list of homes they already looked at, the program displays listings worth considering on a buyer’s Apple CarPlay while they’re driving. In December, Rocket Homes — a home-search company affiliated with Rocket Mortgage — unveiled a new application that helps home shoppers find homes while they’re driving about. Advocates say real estate professionals need to get on the AI bandwagon or risk getting left behind.

Matt Coatney, CIO of business law firm Thompson Hine, said his organization is already actively experimenting with agents and agentic systems for both legal and administrative tasks. “However, we are not yet satisfied with their performance and accuracy to consider for real-world workflows quite yet,” he said, adding that the firm is focused on agent use in contract review, billing, budgeting, and business development. 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. The survey of 300 senior executives, released by PwC last month, finds evidence of these basic benefits, as well as plenty of money flowing toward agents. Almost all, 88%, say their team or business function plans to increase AI-related budgets in the next 12 months to develop and deploy agentic AI. Seventy-nine percent say AI agents are already being adopted in their companies.

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While most apps require the user to locate the feature they need, SuperCity will soon present itself as a conversational bot. A resident will simply discuss what they need and the app will use AI agents to carry out as much of the need with little, if any, user engagement. Removing integration complexity also means that this single app can be used by a user in different cities without requiring the download of a new app with an entirely different process. The team behind SuperCity come with significant government and technology credentials.

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Coatney stressed that research and development around AI agents is still evolving. Most commercially available tools are either fledgling startups or open-source projects like Autogen (Microsoft). Established players such as Salesforce and ServiceNow highlight AI agents as key features, but the term “agent” remains loosely defined and is often overused in marketing, he said.

• 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.
• Trust in autonomous AI agent is another challenge, as revealed in the PwC survey.
• This attention to ethical design standards helps real estate professionals stay compliant with local and national advertising rules, avoid misrepresentation, and build long-term trust with both buyers and fellow agents.
• U Haul’s 2024 report showed Nevada dropped a dramatic 24 spots in the rankings for moves into the state, according to the moving company.
• Most commercially available tools are either fledgling startups or open-source projects like Autogen (Microsoft).

While he hesitates to say that AI has become more accurate, he did note that in real estate, a vast amount of data is fed into the models, which may make it more reliable. At Sotheby’s, a tech and tools team recommends AI models to agents, Barry said, and training is done regularly on how to use them responsibly. This attention to ethical design standards helps real estate professionals stay compliant with local and national advertising rules, avoid misrepresentation, and build long-term trust with both buyers and fellow agents.

According to Deloitte’s 2025 Technology, Media, and Telecommunications Predictions Report, some of the most impactful use cases include customer experience personalization, and security enhancements, regulatory compliance, agent builders and prchestrators. AI Agents are going to play an increasingly important role in how cities function and how residents … Other new AI products include a tool by Irvine-based Revive that uses photos to assess the costs and benefits of renovating a home before putting it up for sale. In addition, Compass uses AI to look for homeowners who are likely to sell their homes by analyzing such signs as marriages, job changes or children leaving the nest.

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Humans can also understand neighborhood dynamics of a specific property market that may not be evident in real estate data. In contrast, AI may not fully understand the impact of local market conditions, neighborhood dynamics, zoning regulations or specific property features that can significantly influence overall investment decisions. Such trust also needs to be managed “intuitive human-AI collaboration, ensuring efficiency while preserving user authority,” said Srivastava. Without trust and confidence, agentic AI systems’ ability to autonomously plan, reason, and execute tasks will be irrelevant. “Striking this delicate balance will be crucial for the long-term success of AI-driven businesses,” he said.

Our rapidly moving business landscape means efficiency and intelligent decision making are no longer optional—they are essential. AI agents enable businesses to streamline operations, unlocking new levels of productivity. By handling time-consuming, repetitive tasks, they free up employees to focus on creative, high-impact work that drives innovation.

Akoum noted that 40 percent of the people who visit the site have been using the model, leading to a rise in engagements and folks taking the next step in the transaction. In addition, while AI agents must also comply with the European Union’s AI Act and similar regulations, innovation will quickly outpace those rules. Businesses must not only ensure compliance but also manage various risks, such as misrepresentation, policy overrides, misinterpretation, and unexpected behavior.

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Whether it’s providing real-time assistance, automating workflows or delivering personalized recommendations, they are transforming the way organizations operate from the inside out. Beyond efficiency, AI agents also play a critical role in decision intelligence. They analyze vast amounts of data instantly, delivering actionable insights that help executives make smarter, faster choices.