Introducing Infinitus Lens: Healthcare’s conversation insights engine Healthcare runs on conversations across patients, providers, pharmacies, payors, and pharma manufacturers. Every one of those interactions carries valuable information that can determine whether a program is successful – patient sentiment indicators, adherence signals, moments of compliance, provider behavior, and other emerging patterns. Most organizations lack not just the tools to access that information, but also to act on it. Manual monitoring covers only a fraction of what actually happens across your program – estimates suggest no more than 5%. The rest stays invisible, resulting in undetected compliance gaps and missed critical moments. Patient and member sentiment data is left sitting in unstructured recordings that no one has time to review. Teams responsible for compliance, operations and quality are all working from incomplete and delayed data. Today, we’re introducing Infinitus Lens: the conversation insights engine behind every patient, provider, and payor interaction across your organization. Lens reviews every conversation, makes sense of what it finds, and gets the right information to the right people – before a trend becomes a problem, not months later. Insights delivered proactively Most analytics tools are only accessible through a proprietary portal. Someone has to go looking for them, and at a busy healthcare operation, no one goes looking until something has already gone wrong. Batch processing doesn’t happen until days later. Reports arrive weeks after a pattern that needs immediate attention has already done its damage. Lens changes that. With Lens, insights are delivered proactively, pushed directly into the systems and workflows your teams already use. Field teams get daily digests of the patterns shaping their work. Compliance teams see deviations as they happen. Quality and operations leads get event signals routed to them the same day they surface. Lens unlocks insights into provider behavior patterns, coverage decision trends, patient experience signals, and adherence barriers – all surfaced while they’re still actionable. It’s not just a dashboard you have to remember to check. It’s information that actually reaches you when it matters most. Every conversation scored, analyzed and aggregated The data isn’t missing, it’s buried. Patient and member sentiment, guideline deviations, compliance moments, provider behavior signals – all of it exists inside every conversation, invisible by default because no QA team can manually process at the volume healthcare programs generate. What manual review misses isn’t random; it’s the full shape of your program. Lens evaluates every interaction automatically, in less than five minutes, across any channel – voice, chat, SMS, email – and regardless of whether a human or AI agent is leading the interaction. Not just a quick sample, but every conversation, run through the same evaluations simultaneously to generate AI scores, SOP and guideline evaluations, sentiment analysis, compliance analysis, and conversation pulse. The result is a continuously growing, structured dataset of patient, provider, and payor interactions– one that gets more valuable with every conversation added. At the agent and team level, scores and trends feed directly into coaching recommendations, with dashboards updated after every interaction. At the program level, patterns that would be invisible in any single call emerge when aggregated across thousands: provider behavior trends, coverage decision patterns, population-level adherence signals. Your team gets insights with recommended next actions in days, not next quarter. What this looks like in practice A patient mentions, almost as an aside, that they’ve stopped taking their medication because they started feeling chest pains, and besides, it was too expensive anyway. Just a single sentence, in passing. With manual review covering only a fraction of interactions, that call would almost certainly never be discovered. The compliance-relevant moment would never reach the team responsible for it. With Lens, that mention is flagged automatically, classified, and routed for review before the end of that business day. Every mention, every call, every time. Understand both human and AI agent interactions As AI agents take on a growing share of healthcare interactions, a new gap in accountability is forming. Most legacy monitoring tools were built for human contact centers. They have no concept of what it means to properly evaluate an AI voice agent – they can’t determine whether it followed the right protocol for the conversation, stayed within required guidelines, or handled a sensitive question appropriately. And as you deploy more AI agents throughout your organization, the gap in your observability grows, and you end up seeing less and less of your program. With Lens, as your AI footprint grows, your compliance coverage automatically grows with it. No need for lengthy, regular re-implementation. No need for a second vendor. And most importantly, no gaps in visibility. Lens monitors human staff and AI agents. It applies the same scoring dimensions, the same compliance framework, and the same detection capabilities with the same rigor, regardless of who handled the interaction. When AI agents join your program, Lens is already in place. And because Lens feeds findings directly back into Infinitus Studio, every observation closes a loop: the conversation insights engine and the agent building platform improve together, continuously, without relying on manual coordination. Built for healthcare. Not adapted from something else. Lens reflects how healthcare operations actually work. Scoring logic is built around clinical and operational SOPs, not generic, industry-agnostic QA rubrics. The compliance framework understands regulatory obligations – across pharma, payors, and provider organizations – that have no equivalent in other industries. The intelligence dimensions map to the specific teams in your organization who need those signals and are best positioned to act on them. Lens is built on over seven years of running healthcare conversations for organizations representing eight of the top 10 pharma manufacturers, as well as major health plans, and provider programs. The same depth of healthcare expertise that powers Infinitus AI agents is what powers the ability to understand and analyze every conversation. If you’re ready to see your program’s complete picture, sign up for early access here.