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.
At NexusCon, Newcomb & Boyd's Mike MacMahon described how a single phone call to a nurses' station reached the same flat network as FDA-certified medical equipment running unhardened Windows XP.
Episode 198 is a conversation with Brad Bonavida from Nexus Labs, Gabe Sandoval from UCSF Health, and Patrick Testoni from the University of California, Santa Cruz.
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.
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