Skip to content
Agentic 10-K

Waystar Holding Corp.WAY

AI agent disclosures in SEC filings, deployment confirmed

As of 2026-07-29, Waystar Holding Corp. (WAY) disclosed AI-agent language in 4 SEC filings since 2025-07-23, including 4 excerpts describing its own deployment of AI agents (source: Agentic 10-K, from SEC EDGAR).

Stage
Scaling
Market cap
$5.2BYahoo Finance, 2026-10-21
First seen
2025-07-23
Latest filing
2026-07-29

Matching filings by quarter

012Q1 '25Q21Q3Q41Q1 '261Q21Q3Q4*
Filings* Quarter in progress

What the filings cover

Functions named

Healthcare & clinical, Software development

Vendors and products named

Iodine Software, Waystar

Source

4 filings since 2025-01-01. All EDGAR filings (opens in a new tab)

Stage and function are keyword-rule labels, not the company’s words.

In its own words

Sentences copied from the filings, whitespace normalised.

“Waystar AltitudeAI utilizes a multi-model approach that incorporates machine learning, large language models, and generative and agentic AI to automate complex workflows and deliver added value to our clients.”

10-QFiled 2026-07-29Confirmed deploymentSource on sec.gov (opens in a new tab)Filing index (opens in a new tab)

“agentic AI - to ensure our technology is built to act rather than just analyze.”

10-KFiled 2026-02-17Confirmed deploymentSource on sec.gov (opens in a new tab)Filing index (opens in a new tab)

“Our solutions identify coding mistakes, DRG underpayments, and missing charges, and leverage agentic AI to strengthen documentation integrity.”

10-KFiled 2026-02-17Confirmed deploymentSource on sec.gov (opens in a new tab)Filing index (opens in a new tab)

All matching filings

10-Q filed 2026-07-29 Filing index (opens in a new tab)

10-QFiled 2026-07-29

Waystar uses its proprietary AltitudeAI engine incorporating generative and agentic AI to automate workflows in its platform.

“Our platform benefits from powerful network effects. Our cloud-based software is driven by a sophisticated, automated, and AI-powered engine to generate and incorporate real-time feedback from millions of network transactions processed through our platform each day. Every transaction we process provides additional data insights across providers, patients, and payers, which are embedded in updates that are deployed efficiently across our platform. This results in cumulative benefits to us over time. As we capture more data from each transaction we process, we leverage those insights to continuously improve the platform through Waystar AltitudeAI, our proprietary AI engine. Waystar AltitudeAI utilizes a multi-model approach that incorporates machine learning, large language models, and generative and agentic AI to automate complex workflows and deliver added value to our clients. In turn, the more value we create for our clients, the more likely it is that they will continue to use our products, allowing us to continue to capture more data that results in tangible improvements to our platform. As a result, our clients benefit from faster and more efficient performance from software that is evolving to meet ever-changing regulatory and payer requirements, enabling accurate and timely reimbursement.”

10-Q filed 2026-04-29 Filing index (opens in a new tab)

10-QFiled 2026-04-29

Waystar uses AltitudeAI incorporating generative and agentic AI to automate workflows in its platform.

“Our platform benefits from powerful network effects. Our cloud-based software is driven by a sophisticated, automated, and AI-powered engine to generate and incorporate real-time feedback from millions of network transactions processed through our platform each day. Every transaction we process provides additional data insights across providers, patients, and payers, which are embedded in updates that are deployed efficiently across our platform. This results in cumulative benefits to us over time. As we capture more data from each transaction we process, we leverage those insights to continuously improve the platform through Waystar AltitudeAI, our proprietary AI engine. Waystar AltitudeAI utilizes a multi-model approach that incorporates machine learning, large language models, and generative and agentic AI to automate complex workflows and deliver added value to our clients. In turn, the more value we create for our clients, the more likely it is that they will continue to use our products, allowing us to continue to capture more data that results in tangible improvements to our platform. As a result, our clients benefit from faster and more efficient performance from software that is evolving to meet ever-changing regulatory and payer requirements, enabling accurate and timely reimbursement.”

10-K filed 2026-02-17 Filing index (opens in a new tab)

10-KFiled 2026-02-17

Company plans to use agentic AI to automate workflows and create value for clients.

“agentic AI to automate complex workflows and deliver added value to our clients. In turn, the more value we create for our clients, the more likely it is that they will continue to use our products, allowing us to continue to capture additional data that results in tangible improvements to our platform. As a result, our clients benefit from faster and more efficient performance from software that is evolving to meet ever-changing regulatory and payer requirements, enabling accurate and timely reimbursement.”

10-KFiled 2026-02-17

Company uses agentic AI in denial prevention, revenue capture, and medical records workflows.

“agentic AI - to ensure our technology is built to act rather than just analyze. This "closed-loop" architecture allows our models to continuously learn from every transaction, creating a compounding advantage that extends our competitive lead. For example, we leverage AI in our denial prevention and recovery platform, where it helps us predict the success of a claim appeal based on factors such as patient benefits, procedures performed, and specific payer behaviors. This enables providers to prioritize their workflow efforts and drive maximum recovery value. In addition, we use AI to discover missing charges and capture otherwise lost revenue by aligning claim status and escalation efforts with claim-specific expected remittance timeframes. Our agentic AI workflows further reduce administrative burden by analyzing full medical records to automatically pre-populate requests for correction with supporting clinical context, significantly reducing manual chart review and physician query time.”

10-KFiled 2026-02-17

Company plans agentic AI for autonomous revenue cycle with over 340 product and engineering staff.

“• Innovate and develop adjacent solutions. We will continue to invest heavily in the Waystar platform to expand our product breadth and depth, increase automation, strengthen system performance, and improve the user experience. Our product roadmap is informed by both continuous client feedback as well as our own assessments of opportunities to further streamline and simplify healthcare payments. Our innovation strategy is centered on accelerating the path to the autonomous revenue cycle, leverage agentic AI to move beyond task-specific automation toward a system that can independently navigate complex payment workflows, leveraging clinical, financial and administrative data. Unlike traditional software that requires constant human intervention, our agentic-led roadmap focuses on creating self-correcting cycles that proactively identify, reason through, and resolve bottlenecks across the payment continuum. By integrating generative and agentic AI with our proprietary datasets, we are building a "closed-loop" platform where every transaction allows the system to learn and improve its autonomous decision-making. Our product and engineering team, comprised of more than 340 full-time team members, delivers daily code updates that continuously refine these capabilities. Because of our modern architecture and purposeful lack of technical debt, we are uniquely positioned to transition providers from manual oversight to truly autonomous environment. This evaluation is designed to deli”

10-KFiled 2026-02-17

Company uses agentic AI to strengthen documentation integrity in clinical and revenue workflows.

“• Clinical integrity and revenue capture. Our platform integrates AI-powerd automation with clinical insight to transform mid-cycle performance, enabling providers to capture revenue accurately and prevent losses early. By unifying clinical and financial data, we help healthcare organizations protect revenue and reduce downstream rework while reflecting the true quality of care delivered. Our solutions identify coding mistakes, DRG underpayments, and missing charges, and leverage agentic AI to strengthen documentation integrity. This "closed-loop" approach validates that documentation meets clinical, regulatory, and financial standards before claim submission, accelerating reimbursement and increasing cash flow for our clients.”

10-KFiled 2026-02-17

Rapid advancement of agentic AI poses competitive risks to the company's platform.

“The rapid advancement of generative and agentic AI also poses competitive risks. Large technology companies with significantly greater resources are deploying AI tools that could commoditize revenue cycle management functions core to our platform, and competitors may also adopt or deploy AI more quickly or effectively than we do. Agentic AI systems could automate workflows our clients currently rely on us to perform, and EHR and PM vendors may integrate AI capabilities directly into their platforms, reducing demand for our solutions. Generative AI may also lower barriers to entry, enabling new competitors to emerge more quickly. If we fail to keep pace with AI advancements or our AI-enabled solutions do not achieve market acceptance, our competitive position could be materially harmed.”

8-K filed 2025-07-23 Filing index (opens in a new tab)

8-K, EX-99.1Filed 2025-07-23

Iodine Software applies agentic AI among other models to clinical intelligence for hospital revenue cycle automation.

“Iodine Software is the leader in AI-powered clinical intelligence, built to eliminate revenue leakage, lower administrative burden, and ensure accurate reimbursement. Trusted by more than 1,000 hospitals and health systems, Iodine delivers real-time insight and automation across the mid-revenue cycle: connecting clinical documentation, utilization management, and prebill workflows from admission through claim submission. For over a decade, health systems have trusted Iodine to apply the right AI – from machine learning, deep learning, large language models, GenAI, to Agentic AI – to the right use case, consistently delivering reliable, high-impact financial results.”