Visitt puts property teams at the center with an AI-driven platform that unifies all commercial real estate operations—building, tenant, billing, and vendor management—in one place. Our intelligent automation streamlines workflows, improves efficiency, and reduces operational costs. With real-time collaboration tools and AI-powered analytics, Visitt empowers teams to stay ahead and deliver exceptional building performance.
Visitt is an AI-driven platform that unifies all property operations—building, tenant, billing, and vendor management—into one seamless solution. Designed to empower CRE property teams, Visitt provides everything needed for effective and efficient building operations management while enhancing collaboration across teams, tenants, and technology.
Leveraging the power of AI technology, Visitt’s platform detects real-time issues and patterns that impact tenant experience and operational performance. It also helps teams stay connected with tenants, strengthening brand communications and engagement.
Visitt offers an easy-to-use, quick-to-learn, and modern UI, making it simple for property teams to adopt and maximize the platform. Some features include AI-driven portfolio performance monitoring, work order management, amenity management, automated reporting, preventive maintenance, access control integrations, and more.
QuadReal runs 60 properties on one cloud platform, with a centralized offsite tech team quarterbacking site staff through prioritized alarms built for non-FM readers.
Hannah Baker, engineer at Willow, walks through how DFW Airport built a CBM program that actually stuck, from training a non-technical QA team to triage thousands of faults, to graduating recurring issues into automated work orders, to tracking a single KPI called 'unsuccessfully actioned' that finally gave leadership visibility into whether closed work orders were actually fixing the problem.
Jose de Castro, CTO of Mapped, shows how one of the world's largest retailers moved restroom operations from schedule-based janitorial rounds to condition-based workflows by combining foot traffic sensors, flush counts, soap levels, and occupancy predictions into AI-summarized work orders that land directly in the existing CMMS, with no new dashboards or tools for technicians to learn.
Brad Dameron from the University of Iowa's Asset Optimization Team and Katie Rossman from Clockworks Analytics walk through how Iowa handles 3,500 faults per day without burying their maintenance shops, showing the exact triage, routing, and closeout workflow they built to turn fault detection into planned work orders that look and feel identical to every other work order in the system.
Tearle Whitson, VP of OT at Metronational and a 26-year facilities veteran, digs into the infrastructure layer that makes or breaks CBM programs—explaining why bad sensor data, uncalibrated instruments, and communication failures will undermine your fault detection before you ever get to triage, and how to build the 'building DNA' foundation that everything else depends on.
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