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Smart Property Teams Use AI to Leave Reactive Building Operations Behind

Better visibility. Faster response. Informed communications. That’s what separates proactive building operations from reactive ones.

By
Team Visitt
Released
May 4, 2026
Last update
May 4, 2026
Property Operations

TL;DR

  • The CRE property management teams using AI for building operations gain a competitive advantage across response times, operational costs, and tenant experience
  • The property managers getting the most out of AI start with consistent data capture and build from there: automated maintenance tracking, AI-informed tenant communication, and connected systems 
  • Visitt’s AI-native property operations platform centralizes work order intelligence, compliance automation, live translation, and AI agents running the operational layer across your portfolio

CRE property management has always been an operational discipline: track the work orders, keep tenants satisfied, manage the vendors, close the compliance gaps. What's changed is the volume of data, decisions, and moving parts that come with a growing portfolio.

AI is how leading property teams are handling it.

JLL's 2025 Global Real Estate Technology Survey found that 88% of real estate investors are piloting AI, with strategic priority shifting from operational wins to growth and competitive positioning. Teams that built their data infrastructure early are moving faster, yet over 60% of investors remain strategically, organizationally, and technically unprepared for scaled AI implementation. This, even as 87% report their real estate technology budgets have grown because of AI.

What does that mean for property managers like you?

Below is what Visitt is seeing across assets and portfolios, and how to get the most out of AI in your building operations today. 

The case for AI in building operations 

As AI algorithms grow more capable, the range of tasks they can handle across building maintenance and operations grow too. AI in building operations is reading COIs, routing work orders, predicting equipment maintenance needs, and optimizing energy efficiency in commercial buildings in ways that weren't possible five years ago. 

The opportunity is real. A structured program is how it’s seized:

  • Strategy that connects business goals to the AI tools built to help realize them
  • The right data architecture so every stakeholder can see, access, and act on the operational and investment data the platform surfaces
  • Consistent communication across locations so responsibilities don't fall through the cracks, and every team member stays in the loop
Without AI With AI
Delayed responses to tenant requests when property managers are out-of-the-office Captured, routed, and acknowledged in real time
Fixed preventive maintenance schedules that don't account for actual building use Live usage patterns surfaced to identify predictive maintenance needs
Portfolio reports pulled manually every month Live operations dashboards across every asset, every day
Vendor requirements set and updated property by property Risk tiers automatically enforced across the portfolio

What changes when property management operations run on AI, across compliance, tenant experience, maintenance, reporting, and vendor management.

AI building operations best practices your team can adopt now

Integrating an AI building management system into your day-to-day operations the right way means less reactive work, faster maintenance response, and lower commercial property operating expenses across your entire portfolio. 

Here are some practical tips.

Build your operational foundation on consistent data capture 

Data Capture

The more consistently your team logs data in one place, the more your AI in buildings platform has to work with across your entire property operations portfolio.

  • Use your work order management system as the single channel for every request across every asset
  • Configure automatic routing based on request type, urgency, and location
  • Set up live, centralized operations dashboards so patterns surface across buildings in real time
  • Choose facility management software with mobile-first design so field teams log consistently without friction

Case study: After Epic Investment Services adopted Visitt's AI-powered property management operations platform, enabling live data capture across 170+ buildings, managers had a reliable way to monitor performance and enact consistent service and maintenance standards across the portfolio. Tenant requests tracked increased 291%, and median response time dropped to 10 minutes. See how we did it → 

Automate preventive maintenance tracking

Preventive Maintenance

Tenant communication

Artificial intelligence in facility management moves maintenance scheduling from fixed calendar dates to live asset usage data. To make the most of it:

  • Use an asset tagging system to automatically tie every asset to digital records
  • Set condition-based thresholds on critical assets so maintenance is initiated by deviations in performance data
  • Apply AI-driven forecasting to predict how long an asset will perform before failure, so parts are ordered and techs scheduled before the threshold is reached

Case study: After Carr Properties adopted Visitt's AI-powered building operations management system, enabling automated preventive maintenance tracking across their portfolio, the team could identify equipment patterns and flag recurring faults before they reached failure. Today, 25% of work orders are proactively created by the team, with 58% of service requests resolved within the first hour and 82% within three hours. See how we did it →

Use AI for transactional touchpoints

Tenant Communication

When your building management software uses AI to surface the right information at the right time, your team always knows what to communicate, to whom, and when.

  • Embed AI into your tenant communication tools and tenant portal so tenants can self-serve, and your team is prompted with the right next step at the right moment
  • Use sentiment analysis to flag frustrated tenants, so your team can step in with full context already in hand
  • Apply AI-powered translation tools across work orders and communications so nothing gets lost across a multilingual team or tenant base

Case study: After Related Ross adopted Visitt's building maintenance and operations solution, enabling automated handling of every transactional tenant touchpoint across their West Palm Beach portfolio, tenant engagement increased 3X and satisfaction reached 4.9 out of 5 within two months. See how we did it →

Connect your systems to work smarter at scale 

Connected Systems

When your building operating system connects to the platforms your team already uses, every stakeholder has the visibility to truly own their portfolio's results.

Case study: After One Congress adopted Visitt, they connected SwiftConnect to automate visitor credential activation and access end-to-end. The front desk team was freed from manual check-in entirely: check-in dropped to 20 seconds, 29+ hours of front desk time were reclaimed monthly, and 80% of entries became tenant-initiated. See how we did it →

Visitt AI gives you the visibility and control you need

The best-run portfolios in commercial real estate share one thing: a single AI-native platform connecting every operational layer underneath them.

Visitt’s AI is built for exactly that: work order intelligence that connects recurring issues and escalates urgent work, a COI Agent that runs compliance end to end, Live Translate for multilingual teams, and AI agents that handle the repetitive operational layer so your team focuses on what requires their expertise.

If your team is ready to reduce reactive work, lower operating costs, and give leadership the visibility they need to make better decisions, talk to our team and explore how we can work together.

FAQ

  • What is AI in building operations?

    AI in building operations is a system that captures live operational data, identifies patterns across work orders, maintenance activity, and tenant behavior, and infers what should happen next, so your team spends less time deciding what to do and more time doing it.

  • How are property managers using AI across their portfolios today?

    The most common starting points are work order management and maintenance tracking, because that's where the data already exists. From there, teams layer in tenant communication automation and system integrations. Each one compounds the last, so the portfolio gets easier to run as you add more.

  • What results can property managers expect from AI-powered building operations?

    You'll see value from day one. Requests that used to fall through the cracks get tracked, and the longer you run it, the more it compounds: higher tenant satisfaction, fewer surprises, and a clearer picture of what's actually happening across your portfolio. 

  • Will Visitt AI replace our property operations team?

    No, and that's not what it's designed to do. Your team still owns the relationships, and all the strategic, investment-oriented execution. What changes is how much of their day gets spent on structured, repetitive work. For most teams, that's a significant amount of time back.

  • How is Visitt AI different from AI in other property operations platforms?

    Visitt has been building AI into property operations since 2022, before most competitors had it on their roadmap. The platform was designed from the ground up for AI to run workflows end to end, while others are adding AI features onto systems built 15 years ago. 

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