A. Chaudhry
Thank you, Steve. Good morning, everyone, and thank you for joining today. Steve has walked you through an outstanding financial year. That performance gives us the platform to do something really important, invest aggressively and deliberately in AI. My job today is to take you inside that effort, what we have built, what's working and where we are taking it in 2026. In April 2025, we launched CareCloud's AI Center of Excellence, a fully operational production-grade initiative with one mandate, build AI solutions that create measurable impact for health care providers. This is not a research lab or a pilot program. It is the engine behind everything in our AI portfolio. We built this capability in-house because AI and health care cannot be generic. It must be trained on the right data, integrated into real clinical and administrative workflows and designed around health care-specific compliance and accuracy. The AI Center of Excellence brings together engineering, data science, clinical informatics and product development to deliver exactly that. Let me walk you through what we have launched. Our flagship AI product of 2025 is stratusAI Front Desk Agent, which reached full commercial release in December. It is an agentic AI phone receptionist, fully autonomous, operating 24 hours a day, 7 days a week, ending patient calls with natural human-like conversation. The scope of what it manages is significant, appointment scheduling, rescheduling and cancellations, real-time insurance eligibility verification and demographic capture, prescription refill routing, lab results, inquiries, referral requests and automated confirmations and reminders. When a call requires human judgment, it escalates intelligently to a live staff member. The system is deeply integrated within our EHR and practice management platforms, which means there is no manual data reentry and no third-party middleware between the AI and the patient record. Our results speak for themselves. Dr. Holden, owner of the Lung Center shared that stratus Desk Agent is now handling nearly 80% of their inbound scheduling-related calls, freeing his staff to focus on more complex patient needs. There is a fundamental shift in how our practice operates, and it is exactly the outcome we designed this product to deliver. Alongside Desk Agent, we have stratusAI Voice Audit, our conversational intelligence platform, gives practice administrators and hospital operations leaders visibility into every patient phone interaction, whether handled by AI or by the staff member. Voice Audit delivers call monitoring, quality scoring, trend analysis and patient sentiment insights. It shows what's working, where workflows are breaking down and where there are opportunities to improve the patient experience. Beyond patient access, we are applying AI deeply across revenue cycle management, the core of our business. AI capabilities are already active throughout our RCM operations, helping reduce claim errors, improve appeals and documentation accuracy and increase first pass acceptance rates with payers. Importantly, AI also allows us to shift from relying primarily on lagging indicators such as denial rates and days in account receivable to monitoring leading indicators earlier in the revenue cycle. By identifying potential issues at intake, eligibility verification, coding and claim creation, we can prevent problems before a claim is ever submitted rather than reacting after a denial occurs. Our longer-term ambition is to establish a new industry benchmark, zero-touch claims, a fully automated workflow where AI manages intake, validation, submission and payer follow-up with minimal human intervention. This enables billing teams to focus their expertise on true exceptions rather than routine processing. We are also developing AI-driven prior authorization capabilities, which represents one of the most significant administrative bottlenecks in the health care today. Prior auth delays drive revenue leakage, delay patient care and consume enormous staff time. Our approach is to use AI to predict authorization requirements, pre-populate supporting documentation and route requests automatically, reducing turnaround time and the rate of initial denials. We are also actively developing an AI-assisted medical coding product. Accurate coding is foundational to revenue cycle performance. Errors at that stage cascade into denials, delays and lost reimbursement. For clients using CirrusAI Notes, the 2 products work in concert, taking a clinical encounter seamlessly from documentation through accurate coding assignment. On the clinical side, CirrusAI Notes addresses documentation burden, a primary driver of physician burnout. It captures the clinical encounter and generates structured notes for physicians to review and sign off on rather than author from scratch. It is live and in use today, and it earns clinician trust precisely because it does not try to replace physician judgment, it removes the administrative burden around it. I want to spend a moment on the intersection of our acquisition strategy and our AI capabilities because I think this is one of the most compelling and underappreciated aspects of our story. Each platform in the Medsphere portfolio is embedded in real clinical operations, serving workflows previously outside CareCloud's reach, and none of them had a dedicated AI team behind them until now. Clients across this portfolio will also benefit from access to CareCloud's ambulatory AI-enabled solutions as our integration work progresses, bringing the full capability of our platform to bear across the care continuum. Our AI Center of Excellence is actively scoping AI enhancements across this portfolio, prioritizing the highest impact use cases in supply chain efficiency, emergency department workflow and clinical documentation. As those enhancements are completed and validated, they will be made available to the clients. To be clear about sequencing, the new clients we are winning today are selecting these platforms on the strength of what they deliver right now. Our contract win with Memorial Hospital in Ohio, deploying HealthLine for supply chain management is a strong signal of that underlying demand. As our AI capabilities for HealthLine mature, Memorial and clients like them will position to adopt these enhancements when they are ready. The same logic applies to Wellsoft. In January, Affinity Urgent Care in the Houston Galveston area selected Wellsoft, bringing our emergency grade documentation system into the urgent care settings for the first time. With approximately 11,000 urgent care facilities across the United States, this channel represents a meaningful expansion of our addressable market. The AI layer for Wellsoft is in development. And when it is ready, it will strengthen our competitive position in the channel considerably. On the AI side, MAP App becomes more powerful over time. Our road map adds recommendations that go beyond identifying a revenue cycle gap to quantifying its dollar impact and surfacing the automation that closes is fastest, moving us from analytics to action, a conversation hospital CFOs are very receptive to. The HFMA relationship also gives us distribution into hospital finance leadership that would take years to build organically. And combined with our AI road map for MAP App, we have compelling reasons to be in those conversations in 2026. Looking ahead, I want to be direct about what 2026 means for our AI strategy. We have spent 2025 building the AI Center of Excellence, the stratusAI product suite, the acquisitions that expand our platform. 2026 is the year we execute. Let me walk you through our priorities. First, we will continue expanding our AI product suite across the full platform. StratusAI Desk Agent and Voice Audit are live and scaling. CirrusAI Notes is deployed and being integrated across the Medsphere suite. AI-assisted coding and prior authorization AI are both targeted for release this year. Second, we will execute on the cross-sell opportunity at the product level. Steve outlined the strategic case Medsphere relationships, RCM capabilities, HFMA partnership. My focus is making sure the AI product are ready to support that motion. CirrusAI Notes integrated into MedSphere suite, the coding product available to hospital billing teams and stratusAI Desk Agent deployable in hospital patient access centers. Third, we will continue building the AI Center of Excellence, deepening our clinical data sets, developing proprietary models trained on health care-specific workflows and partnering selectively with AI leading infrastructure providers where it helps us move faster. The principle is always the same. Health care native AI built with right guardrails delivers better and more defensible outcomes than generic AI applied to health care settings. Fourth and most importantly, we will hold ourselves accountable to client outcomes, not just product releases. The measure of AI investment is not feature ship. It is revenue improvements, denial rate reductions, time saved per provider, patient satisfaction scores. Those are the metrics we track internally, and they are the ones we will be sharing with you as our AI business matures. I want to close with the thought on why this moment is meaningful. Providers across every care settings are seeking purpose-built AI that integrates into the systems they already use. This is precisely what we are building across ambulatory, emergency, inpatient and hospital billing operations. CareCloud sits at a rare intersection, long-standing relationships with over 45,000 providers across the care continuum, a fully integrated platform spanning EHR, practice management, RCM and our supply chain and hospital systems and a dedicated AI organization focused entirely on solving health care operational problems. We are profitable, growing company with a clear AI strategy and operational discipline to execute it. I look forward to sharing our progress with you throughout the year. With that, I will turn the call over to Norm Roth, our Interim CFO and Corporate Controller, who will walk you through the detailed financial results. Norm?