Property technology firm Lofty has released an overhauled version of its AI operating system, rebuilt from the ground up around artificial intelligence. The new Lofty Cowork feature replaces multiple dashboard interactions with a single conversational interface, allowing agents to execute tasks through natural language.
The launch at Inman Connect San Diego positions Lofty's platform as fundamentally different from conventional chatbot-based tools. Where most real estate AI waits for user prompts, Lofty AOS manages workflow prioritisation proactively, determining which actions to surface based on deal stage, client activity, and deadlines.
How the system works
Lofty Cowork handles task execution through conversation rather than menu navigation. Agents describe what they need—"send comparable listings to this buyer" or "remind me to follow up with sellers who haven't responded this week"—and the AI handles the steps.
The system replaces a dashboard of widgets with prioritised, ready-to-execute tasks. Rather than deciding where to start, agents work from a curated queue the platform builds and updates automatically.
A companion product, House.ai, launched simultaneously. It provides financial intelligence for homebuyers, helping them understand buying power and generating transaction-ready leads for agents within the Lofty network.
Our analysis
Transaction inefficiency is a persistent complaint in property markets. In the UK, the average sale takes 123 days from instruction to completion, with considerable time lost to administrative coordination. Tools that compress that overhead benefit agents and, indirectly, the clients they serve.
The conversational interface matters because adoption hinges on usability. Agents who resist technology often cite complexity as the barrier. A natural language alternative reduces friction and expands the pool of users who can benefit.
For investors and brokers tracking operational trends, the launch reflects a broader maturation of AI in property. The first wave brought CRM automation and digital marketing. The second wave embeds intelligence into core workflow management. Firms that fail to integrate these capabilities may face productivity disadvantages as competitors close the gap.
Practical example
Imagine you manage a small property portfolio and work with a letting agent who uses Lofty. Rather than logging into a dashboard each morning, they open the Cowork interface and ask: "Which tenants have leases expiring in the next 60 days, and which require renewal offers?" The system pulls the relevant data, drafts renewal communications if needed, and flags properties requiring inspections. Your agent spends ten minutes on a task that previously consumed an hour of manual data-gathering.
What to watch next
Adoption rates among agents and brokerages will determine whether platforms like Lofty's reshape operational norms. The real test is whether productivity gains translate to measurable business outcomes—faster deal cycles, higher client retention, or reduced administrative overhead.
Key takeaways
- Lofty's rebuilt platform embeds AI at the workflow level rather than offering isolated automation tools
- The conversational Cowork interface replaces multiple dashboard interactions
- Proactive task prioritisation removes the need for agents to decide where to start
- Firms not adopting AI workflow tools may face growing productivity gaps
Frequently asked questions
What is Lofty AOS?
It's an Agentic AI operating system for real estate professionals, rebuilt to manage workflows proactively rather than waiting for user prompts.
How does Lofty Cowork differ from a standard chatbot?
Cowork executes tasks through conversation, handling multiple steps that would normally require navigating separate menus or dashboards.
What problem does this solve?
It reduces administrative overhead for agents, letting them focus on client-facing activities rather than data management and task sequencing.
Who is the target user?
Real estate agents and brokers who handle multiple clients and transactions simultaneously are the primary audience for workflow automation tools.
