AI security in healthcare is getting real
Artificial Intelligence Technology Solutions (AITX) and its subsidiary Robotic Assistance Devices (RAD) have completed a hospital pilot of three RIO 360 units across two locations. The units move into billable service on November 1, 2025, with an expected expansion across additional campuses. For healthcare leaders, this signals a practical path to strengthen safety without stretching already thin staffing models.
The message is clear: autonomy and intelligent monitoring are moving from nice-to-have to standard practice across hospitals, medical offices, and parking areas.
What healthcare teams need to know
Hospitals are dealing with persistent staffing shortages, rising workplace safety concerns, and sprawling footprints that are costly to monitor. RAD's deployments are aimed at filling those gaps with consistent coverage, faster escalation, and lower total cost.
Leadership views healthcare as a long-term growth platform, with each new client adding predictable, recurring revenue and proving real-world fit across complex environments.
What was deployed: RIO 360 with dual ROSA units
- Rapid setup: ROSA can be installed and activated in about 15 minutes.
- AI analytics: human, firearm, and vehicle detection; licence plate recognition; responsive digital signage and audio messaging.
- Always-on visibility: high-resolution, full-color video streaming with two-way communication optimized for cellular.
- Workflow integration: alerts and autonomous responses are integrated with RAD's software suite for timely notification and action.
RAD reports documented results across varied sites, including hospital campuses, retail centers, multifamily communities, and construction locations.
Why this matters for hospitals
- Cost savings: RAD cites 35%-80% lower cost versus traditional guarding in settings better suited to machines.
- Coverage where risk is high: parking lots, perimeters, ED entrances, remote buildings, and off-hours areas.
- Fewer blind spots: autonomous detection helps surface issues staff can't always see or be present for.
- Scalable model: once proven at one site, units can be redeployed or replicated across the network.
What leadership is saying
"The healthcare sector represents more than a market for RAD, it's a long-term growth platform. These deployments highlight how our technology is becoming embedded in critical infrastructure where consistency, reliability, and accountability are essential." -Steve Reinharz, CEO/CTO and Founder, AITX & RAD
"Moving from proof of concept to active billing with a major healthcare provider is an important validation of the results our team consistently delivers. We're proud of the collaboration between our client and internal teams and look forward to supporting continued expansion across their network." -Mark Folmer, CPP, PSP, President, RAD
Trust and data protection
RAD has completed a SOC 2 Type 2 audit, an independent review of internal controls for handling customer data. For hospitals and health systems, this is a meaningful signal that operational controls are in place and working as intended.
Learn about SOC 2 Type 2 from the AICPA: AICPA SOC overview.
Leadership and domain expertise
RAD is led by Steve Reinharz, who chairs the Security Industry Association's Autonomous Solutions Working Group. The team includes Mark Folmer (ASIS leadership), Troy McCanna (former FBI Special Agent and Chief Security Officer), and Stacy Stephens (security robotics co-founder), combining deep experience across security operations, law enforcement, and robotics.
Where this is headed
RAD reports a growing pipeline that includes more than 35 Fortune 500 companies across healthcare, government, transportation, and education. As deployments convert to recurring revenue, hospitals gain options to reallocate guard hours to higher-value tasks while maintaining or improving campus safety.
Practical next steps for hospital and security leaders
- Pick two or three high-impact zones for a pilot: ED entrance, main lobby, staff lot, or remote ambulatory sites.
- Define success metrics: response time, incident reduction, staff safety perception, patient/visitor feedback, and cost per incident.
- Check integrations: VMS, access control, SOC/GSOC workflows, and cellular coverage.
- Align with stakeholders: security, facilities, risk management, IT, legal/privacy, and unions where applicable.
- Codify escalation: who gets notified, in what order, and what qualifies as a handoff to human security or law enforcement.
- Plan for scale: standardize deployment templates, signage, and data retention policies for multi-site rollout.
Key product and model details at a glance
- Units involved: RIO 360 with dual ROSA.
- Go-live: active billing as of November 1, 2025.
- Value drivers: AI-based detection, deterrence, faster escalation, lower cost, and consistent coverage.
- Business model: Solutions-as-a-Service, built for recurring, scalable deployments.
Build internal AI fluency
If your team is planning or piloting AI-enabled security, a quick capability lift across operations, security, and IT helps speed adoption. Explore curated AI learning paths by role here: AI courses by job.
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