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Where AI doesn't just support work - it acts.

Most AI in real estate focus on insights and recommendations. Agentic AI goes further, autonomously planning and executing operational tasks across assets and portfolios, within clearly defined objectives and human oversight.

ProptechOS is the platform for Agentic Proptech. It automates all tasks that involve data input or output across real estate systems – including building control, facilities management, BIM, tenant platforms, and lease data.

By sensing what is happening, reasoning about what to do, and acting directly across connected systems, ProptechOS turns insight into execution.

37%

of everything real estate companies do
can be automated.
Today.

Why Agentic AI exists, and why now

Real estate operations generate vast amounts of data, but insight alone does not run buildings. Dashboards, alerts, and recommendations can explain what is happening, yet the work of coordinating systems, prioritising actions, and executing tasks still falls on people.

The gap between insight and execution is where complexity grows, response times slow, and manual effort accumulates across portfolios. Agentic AI exists to close this gap.

Recent advances in real-time data availability, system connectivity, and AI reasoning now make it possible for software to operate continuously and autonomously. Agentic systems can monitor conditions as they evolve, interpret context, make decisions within defined objectives, and execute actions across operational systems, adapting as situations change – without requiring constant human intervention.

This marks a clear shift from AI that informs work to AI that performs work.

From insight to action

Knowing what to do is not the same as doing it.

ProptechOS moves AI from analysis to execution. The platform continuously monitors real-time data and our AI agents autonomously run workflows across property operations – reducing manual work and accelerating response times.

This turns operational insight into measurable action, at scale.

What makes Agentic AI different?

Generative AI supports people by summarising data and producing answers. It depends on humans to decide and act.

Agentic AI is designed to operate. It combines data, rules, and learning agents to monitor conditions, make decisions, and execute tasks across systems – continuously and reliably.

The result is AI as an operational capability, not just a tool. The result is AI embedded directly into operations: reliable, repeatable, and always on.

Built for real estate operations

ProptechOS is purpose-built for real estate, not adapted from other industries. Agentic use cases are designed around real operational workflows used across portfolios today, including:

Energy optimisation

Autonomous agents continuously reduce cost and emissions while maintaining comfort

Maintenance coordination

Early detection, prioritisation, and automated task execution across systems

Tenant experience

Faster responses and more consistent service delivery, without increasing workload

Real examples in building operations

The goal is fewer alerts, better decisions, and timely execution.

Ventilation running at night

An agent detects patterns that look wrong, checks relevant signals, and produces a clear list of issues with suggested actions.

Indoor air quality analysis with faulty sensors

If one sensor fails, the agent reasons its way to an alternative signal, for example using CO₂ to infer presence, continues the analysis, and reports what it changed and why.

Work orders without alert fatigue

Instead of spamming humans with alarms, task runners escalate to an expert agent that validates whether a work order is actually needed.

Team of Proptech Agents - the new colleagues

Imagine your organization as a team, not just of people, but of agents. Some are Oracles: they answer questions, synthesize knowledge, guide decisions. Some are Experts: they analyze air quality, optimize energy use, spot anomalies. Some are Task runners: they handle the repetitive stuff, quietly in the background. And some are Embodied agents: they represent a building, a system, a tenant, always working towards their objective.  This isn’t science fiction. ProptechOS is already building it. Our “Agent Troupe” is like an orchestra, each agent playing its part, some solo, some in harmony, all coordinated by the ProptechOS conductor.

Oracle

Have access to all data, can answer questions and instantly generate dashboards, presentations and artefacts.

Experts

Empowered with domain knowledge and best practices. Have domain specific goals.

Emboddied agents

Single purpose headless agent dedicated to automating a task or sub-process.
E.g. monitoring state and escalating to another agent or human.

Task runners

By connecting with ProptechOS customers and benefiting from the shared RealEstateCore framework, partners help property owners unlock new opportunities quickly, cost-effectively, and securely.

Autonomy with control

Operational autonomy must be trusted. ProptechOS is designed so customers remain in control while agents handle repetitive, time-critical work. Clear boundaries are built in from the start, including:

  • Defined objectives and business rules

  • Configurable approval levels

  • Full transparency and auditability

Measurable impact

Agentic Proptech delivers tangible outcomes across portfolios:

  • Lower operational costs

  • Fewer manual processes

  • Faster issue resolution

  • Improved service levels

This is production-ready technology delivering real operational value – not experimentation or hype.

Why ProptechOS

ProptechOS is built to enable agentic operations at scale.

  • Purpose-built for real estate operations

  • Designed for secure, scalable production use

  • Focused on long-term transformation, not short-term AI trends

  • Among the first to bring agentic AI into real estate operations

ProptechOS is your strategic platform for the agentic era.

The next phase of AI in Real Estate

The future of real estate is not more dashboards.

It is autonomous, goal-driven operations that scale across portfolios and continuously improve performance.

That future is agentic.

FAQ

Do you have any questions?

No. Many agent objectives can be defined in natural language. Technical setup is mainly about connecting tools and access, not writing code.

In enterprise setups, data can be provided at runtime for execution, with governance controls. The focus is secure usage, not training.

The goal is removing manual tasks, not removing people. Teams shift toward supervision, domain expertise, and higher-value work.