List of Athelas Ambient AI Customers
Mountain View, 94043, CA,
United States
Since 2010, our global team of researchers has been studying Athelas Ambient AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Athelas Ambient AI for Chatbots and Conversational AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Athelas Ambient AI for Chatbots and Conversational AI include: Raleigh Orthopaedic, a United States based Healthcare organisation with 500 employees and revenues of $100.0 million, OneAccord Physical Therapy, a United States based Healthcare organisation with 30 employees and revenues of $3.0 million, Meier & Marsh PT, a United States based Healthcare organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Athelas Ambient AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Meier & Marsh PT | Healthcare | 10 | $1M | United States | Athelas | Athelas Ambient AI | Chatbots and Conversational AI | 2023 | n/a |
In 2023, Meier & Marsh PT implemented Athelas Ambient AI, leveraging Chatbots and Conversational AI to address chronic revenue cycle and patient billing challenges across their four physical therapy practices. The deployment targeted revenue cycle operations and patient financial engagement as part of the clinic network run by co-founders Wade Meier and Troy Marsh in Utah.
The implementation centered on a data-rich dashboard and a rules engine that now runs 22 site-specific automations, supporting automated workflows for claims routing, denial prioritization, and patient responsibility tracking. Athelas Ambient AI was configured with SmartPay capabilities including bulk auto-charge and decline tracking, and with CPT-level revenue monitoring for the clinic's top procedures. The project emphasized configurable, clinic-level workflows and custom automation rules to match Meier & Marsh Professional Therapies operational patterns.
Operational coverage included billing, collections, denial management, coding oversight, and prior authorization exception handling across four sites, impacting more than 6,000 claims. Conversational automation was applied to patient billing outreach and payment prompts consistent with Chatbots and Conversational AI capabilities, while insurer-facing workflows focused on first-pass accuracy and submission throughput. The deployment scope remained centered on clinical revenue operations rather than enterprise IT modernization or external system consolidation.
Governance changes instituted clear operational workflows for submission-to-closure management and automated claim handling, with configuration ownership retained by the clinic’s revenue operations leads and Athelas support for bespoke workflow builds. Rules and exception queues were standardized across sites while allowing site-specific variations, directing denials into active workstreams and automating repetitive adjudication steps to reduce manual touchpoints. Customer support responsiveness and the ability to build customized solutions were cited as selection factors and supported iterative tuning of conversational flows and billing rules.
Outcomes reported by Meier & Marsh are explicit and measurable within the implementation context. After Athelas Ambient AI was deployed the practice reported $4.77 collected per encounter in patient payments, a 93 percent collection rate, a 1.2 percent combined denial and rejection rate, a 96 percent first-pass claim rate, and a 99 percent submission-to-closure rate. CPT-level revenue increased across four of five top procedures, average days from date of service to submission dropped to three days, and SmartPay features improved aging accounts receivable. The case narrative documents initial baseline issues including missed patient notifications, an 83 percent first-pass rate, inconsistent patient responsibility collections, and unworked denials, which were addressed through the Athelas Ambient AI deployment.
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OneAccord Physical Therapy | Healthcare | 30 | $3M | United States | Athelas | Athelas Ambient AI | Chatbots and Conversational AI | 2025 | n/a |
In 2025, OneAccord Physical Therapy deployed Athelas Ambient AI to address billing accuracy and patient communication for its clinic operations. The implementation is explicitly anchored to Athelas Ambient AI and focused on revenue cycle use cases within a clinical setting, placing the application in the Chatbots and Conversational AI category to support conversational automation and workflow assist for staff and patients.
OneAccord configured Athelas Ambient AI alongside RCM-oriented capabilities to centralize billing and communications workflows, emphasizing revenue cycle management, denial handling, and patient outreach automation. The deployment was applied across clinical billing and administrative functions that support the Movement Is Life aftercare program and day to day therapist operations, enabling conversational engagement for intake, follow up, and payment communications while routing billing exceptions into operational review.
Governance included weekly account manager meetings that OneAccord used to align the product with clinic processes and embed the tool into daily workflows, a pattern the founder described as bringing the vendor into the organization culture. Outcomes reported by OneAccord include a 115% increase in reimbursement rate per visit and a 15% decrease in denial rates, with the organization reporting improved billing and communication confidence as a direct result of the Athelas Ambient AI deployment.
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Raleigh Orthopaedic | Healthcare | 500 | $100M | United States | Athelas | Athelas Ambient AI | Chatbots and Conversational AI | 2023 | n/a |
In 2023, Raleigh Orthopaedic deployed Athelas Ambient AI as part of a Chatbots and Conversational AI implementation across its clinical and revenue operations. Raleigh Orthopaedic selected the Athelas suite including Athelas Air EHR, Athelas Ambient AI, and RCM to unify patient intake, documentation, and revenue cycle workflows for more than 140 providers on a single integrated system.
The implementation configured Athelas Ambient AI to perform authorization-focused denial review, automated sorting of partially denied claims, and Ambient AI scribing for clinical documentation. Functional modules implemented included AI-powered authorization denial review, ambient scribing to accelerate documentation quality, and RCM automation for payment posting and claim monitoring, driven by in-platform automation rates and real-time claim performance insights.
Operational integration consolidated clinical care and billing onto the Athelas platform, connecting therapy services, scheduling, documentation, and revenue cycle management in one environment. The deployment impacted clinical staff, therapy services, and the billing team, reducing manual handoffs and surfacing denial trends and automation metrics directly within the EHR and RCM workflows.
Governance and rollout occurred over weeks, with the AI tool trained and put into production to review and sort authorization-related claim denials. Reported outcomes from the deployment include an AI authorization denial review accuracy of 81.1%, an 81.5% reduction in pending site-related work items in a single week, and a 15.3% increase in weekly revenue posted, reflecting faster payment posting and reduced manual intervention by the billing team.
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