Arrive AI White Paper Highlights Key Findings of Stay Hospital Deployment

Autonomous logistics deployment at Hancock Well being demonstrates how workflow-first design can safely lengthen employees capability in lively care environments

INDIANAPOLIS, IN / ACCESS Newswire / March 5, 2026 / Arrive AI (NASDAQ:ARAI), an autonomous supply community firm constructed round patented, AI-powered Arrive Factors™, in the present day introduced the publication of a brand new white paper, “Autonomous Methods in Energetic Care Environments: Insights from Arrive AI’s Stay Hospital Deployment,” sharing important insights from an indication at Hancock Regional Hospital in Indiana.

The white paper examines how automation performs in day-to-day hospital operations, the place timing, human conduct, bodily structure, and belief drive real-world outcomes and long-term adoption. It additionally demonstrates how autonomous logistics can create sturdy effectivity good points in massive, multi-stakeholder environments.

On this preliminary deployment, biospecimen transfers have been automated utilizing Arrive AI’s Arrive Factors™ as mounted, safe handoff places related to an autonomous floor robotic working between the most cancers heart and the hospital laboratory.

Key Insights:

1. Sensor reliability impacts workflow timing: The system should constantly acknowledge merchandise presence at handoff below regular working situations.

2. Clear indicators on the level of interplay matter: The handoff second is about accountability, not about system standing, and requires clear affirmation.

3. Connectivity is the hidden limiting issue: Reliability is just not decided by route size however by environmental stability.

4. Multidirectional motion is the true workflow: Supporting all instructions of fabric motion is important to sustaining the pure rhythm of medical workflows.

5. Automation ought to match workflows and floor changes: Efficient automation matches present workflows whereas clearly signaling when small changes could also be wanted.

“Throughout this preliminary deployment with Hancock Well being, our Arrive Factors™ enabled safe, asynchronous handoffs that match naturally into present hospital workflows, lowering strolling time with out including additional steps for employees,” mentioned Dan O’Toole, CEO of Arrive AI. “The white paper captures what we noticed on the bottom: automation works in hospitals when it respects actual‑world situations, communicates clearly within the moments that matter, and is seamless in order that employees can belief it from day one. These vital insights are shaping how we evolve the platform so our workflow‑first strategy can scale from a single path to entire hospitals, well being programs, and ultimately different industries that rely on time‑important logistics.”

The white paper could be seen on-line at: https://cdn.prod.website-files.com/67c5de33fe42ad3c82b5dbd6/69a7292ef367b636f577d610_Arrivepercent20AIpercent20Whitepaperpercent20-%20autonomouspercent20systemspercent20inpercent20activepercent20carepercent20environments.pdf

About Arrive AI:
Arrive AI’s (NASDAQ:ARAI) patented final mile (ALM) platform permits drone- or floor robot-based and human mail supply to and from a bodily sensible mailbox, whereas offering monitoring knowledge, sensible logistics alerts and superior chain of custody controls to safe the last-mile supply for all shippers, supply providers, and autonomous supply networks. Arrive AI makes the change of products between individuals, robots, and drones frictionless, environment friendly and handy via synthetic intelligence, autonomous know-how and interoperability with sensible gadgets together with doorbells, lighting and safety programs. Study extra in regards to the firm at http://www.arriveai.com. See our press equipment right here: https://www.dropbox.com/scl/fo/1hngbr3n0csio41as3zq2/AIFvqWlgye-qVgIOPG2BcUQ?rlkey=3q1ipgjt1he9ktcvd4vh0vl5t&st=6a2jrjxm&dl=0

Media contact:
Kylie Conway at [email protected]

Investor Relations Contact:
Alliance Advisors IR, [email protected]

Cautionary Observe Concerning Ahead Trying Statements
This information launch and statements of Arrive AI’s administration in reference to this information launch or associated occasions comprise or might comprise “forward-looking statements” throughout the which means of Part 21E of the Securities Alternate Act of 1934, as amended, and the Non-public Securities Litigation Reform Act of 1995. On this context, forward-looking statements imply statements (together with statements associated to the closing, and the anticipated advantages to the Firm, of the non-public placement described herein) associated to future occasions, which can influence our anticipated future enterprise and monetary efficiency, and sometimes comprise phrases reminiscent of “expects”, “anticipates”, “intends”, “plans”, “believes”, “potential”, “will”, “ought to”, “might”, “would”, “optimistic” or “might” and different phrases of comparable which means. These forward-looking statements are primarily based on data out there to us as of the date of this information launch and characterize administration’s present views and assumptions. Ahead-looking statements are usually not ensures of future efficiency, occasions or outcomes and contain important recognized and unknown dangers, uncertainties and different elements which can be past our management. Readers are cautioned to not place undue reliance on these forward-looking statements, which apply solely as of the date of this information launch. Potential traders ought to evaluate Arrive AI’s Registration Assertion for extra full data, together with the chance elements which will have an effect on future outcomes, which can be found for evaluate at http://www.sec.gov. Accordingly, forward-looking statements shouldn’t be relied upon as a predictor of precise outcomes. We don’t undertake to replace our forward-looking statements to mirror occasions or circumstances which will come up after the date of this information launch, besides as required by legislation.

SOURCE: Arrive AI Inc.