SaaS traditionally sells access, AI sells outcomes
Thought Leadership by Author Andrew Stanton CEO Proptech-PR
For twenty years, one of the safest assumptions in property technology has been that software companies will become increasingly important. A property business identifies an inefficient process, a proptech company builds software to solve it, and the customer pays a recurring subscription to use that software. It is the SaaS model, and it has created an enormous property technology industry spanning CRM systems, property management platforms, valuation tools, lead-generation systems, compliance platforms, inspection software, transaction platforms, data products and countless other applications. All built around essentially the same proposition: here is a piece of software that makes your business better, and you pay us every month to use it.
But AI introduces a rather uncomfortable question ‘What happens when the customer no longer needs the software? Not because the software is bad, and not because the SaaS company has failed, but because an AI agent can simply do the job itself. That is potentially a much bigger threat to property SaaS than another competitor entering the market.
The interface may become irrelevant
Traditional software requires humans to interact with it. An estate agent opens the CRM, a property manager opens the property management system, a surveyor opens the inspection platform and a commercial agent opens the CRM, research platform and valuation tools. The human is effectively the operating system sitting between all these applications.
AI changes that relationship. Increasingly, the human can simply state an objective: “Find all the landlords whose properties are likely to require compliance action, identify what needs doing, contact them, arrange the necessary appointments and update me when it is complete.” The AI does not necessarily need the user to open six different applications. It can access the data, interpret it, make decisions within defined parameters, communicate with other systems and execute the workflow.
That is the significance of agentic AI. Gartner describes this as “agentic arbitrage”: AI agents completing tasks across multiple systems and potentially reducing the need for users to interact with the applications themselves. Gartner estimates that as much as $234 billion of enterprise application software spending could be exposed to this shift by 2030.
Suddenly, the question isn’t “Which SaaS platform should I buy?” It becomes “Why do I need a SaaS platform for this particular task at all?”
Property may be particularly exposed
The property is full of processes that are fundamentally data and workflow problems. Take a typical property transaction. There may be a CRM, portal, valuation system, document management platform, AML checker, compliance system, conveyancing platform, messaging system, marketing platform and accounting package involved. Each solves a particular problem, but from the customer’s perspective, they are not really buying ten pieces of software. They are trying to sell or let a property.
AI has the potential to sit above those systems and orchestrate the entire process. That doesn’t necessarily mean the underlying software disappears immediately; it does mean that its importance can change dramatically. If the AI is the place where the human interacts with the process, the SaaS application may gradually become infrastructure rather than the product the customer thinks they are buying. That is a profound distinction.
The danger is becoming a feature
There is another problem for proptech founders. AI makes software development dramatically easier. A company that might once have needed a substantial development team to build a property application can increasingly use AI-assisted development to create functionality far more quickly. That means a feature that once represented a significant competitive advantage can become relatively easy to reproduce, and the moat gets thinner.
A clever workflow can become a prompt. A dashboard can become an AI-generated report. A search interface can become a conversation. A data-entry process can become an autonomous agent. And a relatively simple SaaS product can find itself competing against an AI system that doesn’t look anything like conventional software.
JLL’s recent analysis of the CRE technology market captures the question particularly well: if AI can generate working applications quickly and cheaply, corporate real estate leaders have to ask whether they should continue buying licences or build what they need themselves.
The death of SaaS
I don’t think every property SaaS company is about to disappear. Quite the opposite. The really valuable technology companies may become even more valuable. The difference will be what they actually own.
If a company owns unique property data, has deep integrations, provides trusted infrastructure, controls a critical workflow or possesses years of accumulated industry knowledge, AI may make that asset more valuable. MRI Software, for example, is moving towards precisely this model with its AI-powered platform, combining property data, recommendations, workflow execution and governance.
The vulnerable businesses are potentially those whose primary proposition is simply: “We provide a nicer interface for doing something that AI can now do.” That is a very different investment proposition from: “We own the data, infrastructure, relationships and trusted workflow that AI needs in order to operate.”
The subscription may not survive either
There is another uncomfortable issue. SaaS traditionally sells access, AI increasingly sells outcomes. That changes pricing. Deloitte has suggested that SaaS applications may evolve towards real-time workflow services, with traditional subscriptions and seat-based licensing potentially giving way to usage- and outcome-based models.
Why should an estate agency pay £X ($X) per user per month for software when an AI agent can perform the work of several users? Equally, why should a technology company charge simply for access if its software is operating autonomously in the background? The future may be less about users and more about work completed. That could completely change how property technology companies are valued.
The uncomfortable question for founders
Every proptech founder should therefore ask themselves a brutally simple question: if an AI agent becomes the primary user of my product, what remains valuable? If the answer is data, relationships, infrastructure, regulatory compliance, proprietary knowledge, distribution or deep integration, there may be a substantial business underneath the AI revolution. If the answer is essentially the software itself, I would be considerably more concerned.
Because software is no longer necessarily the scarce resource. Intelligence is becoming software, and software is becoming something AI can increasingly create, manipulate and replace.
For the property technology industry, that means the next generation of winners may not be the companies that build the most impressive applications. They may be the companies that make themselves impossible for the AI ecosystem to operate without.
That is a very different definition of PropTech. And it may be the beginning of the end for a lot of SaaS businesses that currently look perfectly healthy.
