Brickwise Uses AI to Make Home Renovations Less Terrifying and the Construction Industry Will Not Like That

The Macro: Property Maintenance Is a Black Hole of Time and Money

I want to talk about a number that most landlords and property managers know by heart but rarely say out loud: the cost of deferred maintenance. It is enormous. The National Apartment Association estimates that deferred maintenance across US multifamily housing exceeds $100 billion. That is not the cost of maintenance itself. That is the cost of maintenance that should have been done but was not, which then compounds into bigger, more expensive problems.

A small roof leak becomes water damage becomes mold remediation becomes a $40,000 repair that would have been a $2,000 fix if caught early. A failing HVAC system that gets patched instead of replaced runs inefficiently for two years, driving up energy costs, generating tenant complaints, and eventually dying completely at the worst possible moment. Every landlord has these stories. The pattern is always the same: a small problem was ignored because it was inconvenient, and it became a big problem because physics does not care about your schedule.

The property management software market (AppFolio, Buildium, Yardi, RentManager) handles tracking maintenance requests and logging completed work. But tracking is not the same as managing. Knowing that a tenant submitted a work order is different from knowing what the problem actually is, how urgent it is, which contractor should handle it, what the fair price is, and whether the repair was done correctly.

For landlords and property managers who own or oversee residential properties in the UK and elsewhere, this operational burden is the single biggest drain on their time and profitability. Every hour spent coordinating repairs, chasing contractors, and responding to tenant complaints about maintenance is an hour not spent on acquisition, tenant retention, or portfolio strategy.

The construction and trades industry has been notoriously resistant to technology adoption. Contractors still operate primarily on phone calls and text messages. Quotes are verbal or handwritten. Scheduling is informal. Quality assurance is “the tenant will call back if it is still broken.” This creates massive information asymmetry. The landlord does not know if the quoted price is fair, if the scope of work is appropriate, or if the repair was done to standard.

The Micro: AI That Manages Properties While You Sleep

Ismail Jeilani (CEO) and Elias Kassell (CTO) cofounded Brickwise and brought it through Y Combinator’s Fall 2025 batch. The company is based in London and initially targets landlords and estate agents across the UK.

The product is an AI-powered property management assistant that automates tenant communication, rent collection, maintenance coordination, and reporting. The pitch is that property management involves a huge amount of repetitive work that follows predictable patterns, and AI can handle most of it without human intervention.

For maintenance specifically, Brickwise automates the triage and coordination workflow. When a tenant reports an issue, the AI assesses the problem, determines priority, and coordinates with contractors. This is the same workflow that every property manager does manually dozens of times per week, and it is exactly the kind of structured, rules-based process where AI excels.

Tenant screening is another feature, which addresses one of the highest-stakes decisions in property management. A bad tenant can cost a landlord tens of thousands in unpaid rent, property damage, and legal fees. Automated screening that evaluates applications consistently against defined criteria reduces both the time spent on evaluation and the risk of costly mistakes.

The rent collection automation handles reminders, tracking, and escalation. For landlords managing multiple properties, chasing late rent is a persistent headache that consumes disproportionate mental energy relative to its complexity. The AI handles the follow-up sequence that most landlords know they should do but frequently let slide.

The reporting layer gives property owners visibility into their portfolio’s operational health without requiring them to compile the data manually. Maintenance spend, rent collection rates, vacancy trends, and tenant satisfaction metrics aggregated automatically.

What is interesting about the UK market entry is the regulatory landscape. UK landlords face increasing regulatory requirements around property conditions, energy efficiency, and tenant rights. Automated tracking and documentation of maintenance activities, compliance deadlines, and property conditions is not just convenient. It is becoming legally necessary.

The competitive space includes established property management platforms like Goodlord, Arthur Online, and Hammock in the UK market, plus newer entrants like Kamma (regulatory compliance) and Reposit (deposit alternatives). In the US, EliseAI and Funnel handle parts of this workflow for enterprise multifamily operators. Brickwise’s positioning as a comprehensive AI assistant that handles the full operational scope (not just one slice) is ambitious but represents the kind of product that property managers actually want: one tool that replaces five.

The Verdict

Property management is a market where AI adoption is inevitable because the labor economics demand it. Managing properties profitably requires operational efficiency, and the current state of operational efficiency in this industry is abysmal. There is simply too much manual work in the loop.

At 30 days, I want to see how UK landlords respond to the product. The UK rental market has specific regulations, customs, and contractor ecosystems that a product needs to handle correctly. Getting the details right in one market is more important than launching in five markets simultaneously. At 60 days, the maintenance coordination feature needs to prove it can handle the messiness of real contractor relationships. Automated triage is easy. Getting a tradesperson to actually show up when they said they would is the hard part. At 90 days, I want to see landlords managing more properties without hiring additional staff. That is the metric that proves the AI is genuinely reducing operational burden rather than just adding a dashboard on top of existing chaos.

The founding team’s decision to focus on the UK market first is pragmatic. The UK has a large private rental sector, increasing regulation, and a property management industry that is fragmented and underserved by technology. If Brickwise can become the standard tool for UK landlords, the playbook for expanding to other markets is straightforward. Build deep, then build wide. I think that is the right approach for a product that needs to earn trust in an industry that has been burned by technology promises before.